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Profiling a Target Variable Before a Predictive Model
 
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View this video tip from Catherine Truxillo to learn how to profile target variables using the segment profile node in SAS® Enterprise Miner™. This material is related to the type of content covered in the SAS training course, "Advanced Analytics for the Modern Business Analyst." To learn more, visit: https://support.sas.com/edu/schedules.html?ctry=us&id=1076 To view another video tip on using the segment profile node, visit http://www.youtube.com/watch?v=Cm0fDWHpbwg
Views: 16581 SAS Software
What is Business Intelligence (BI)?
 
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There are many definitions for Business Intelligence, or BI. To put it simply, BI is about delivering relevant and reliable information to the right people at the right time with the goal of achieving better decisions faster. If you wanna have efficient access to accurate, understandable and actionable information on demand, then BI might be right for your organization. For more information, contact Hitachi Solutions Canada (canada.hitachi-solutions.com).
Views: 399216 Hitachi Solutions Canada
Data Mining: SAS Enterprise Miner Tutorial (UCI Mashable)
 
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A tutorial on using SAS Enterprise Miner on UCI Mashable Article Dataset
Views: 751 Jagpreet Sethi
XERAS Enterprise: Mining Financial Planning Software Overview
 
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For nearly 30 years, XERAS has been the financial modelling tool of choice for the cost-focused mining company. XERAS provides a rigorous yet flexible strategic modelling environment designed specifically for the mining industry. XERAS complements your financial planning process by applying control, consistency and transparency and allows for effective corporate governance. https://www.rpmglobal.com/softwares/xeras-enterprise/ https://twitter.com/rpmmining https://www.linkedin.com/company/rpmglobal/
Views: 700 RPMGlobal
What is Text Mining?
 
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An introduction to the basics of text and data mining. To learn more about text mining, view the video "How does Text Mining Work?" here: https://youtu.be/xxqrIZyKKuk
Views: 55953 Elsevier
Random Forest and Support Vector Machines Getting the Most from Your Classifiers
 
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http://communities.sas.com/data-mining Brett Wujek talks about tuning random forest and support vector machine algorithms to train high quality models. JOIN THE SAS DATA MINING COMMUNITY SAS Support Communities help users: Ask, Find and Share SAS knowledge. Join the SAS Data Mining Community today! http://communities.sas.com/data-mining SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 15917 SAS Software
Enterprise Connectors - Social Media Data Mining
 
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This is a replay of the webinar covering using the CData Enterprise Connectors for FireDAC to connect to Twitter and Facebook to mine social media data. The examples are in Delphi, but they could also easily be adaptable for C++Builder too.
See how this mining company uses the cloud for enterprise mobility
 
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For 144 years, Rio Tinto has pioneered automated innovation in mining. With the business facing constant pressure from gyrating commodities prices, Rio Tinto relentlessly sought out new efficiencies. The company moved its huge SAP estate to Microsoft Azure and is digitally empowering its 55,000 employees with highly secure mobile access to business information through Microsoft 365 Enterprise. With these cloud advances, Rio Tinto is moving faster, saving money, improving decisions, and better engaging employees.  View the full video and read the customer story at https://customers.microsoft.com/en-us/story/rio-tinto-mining-azure
Views: 67575 Microsoft Cloud
Insights: Enterprise Risk Management for Energy Companies
 
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April has been a troublesome month for the energy industry in recent years. Both natural and manmade disasters have caused businesses to examine their responsiveness and proactive risk management strategies and tactics. The latest episode of Deloitte Insights features John Poma, Vice President of Enterprise Risk Management at Alpha Natural Resources, one of the largest coal mining and distributing companies in the United States, Kim Detiveaux, a Director, Deloitte & Touche LLP, who leads ERM services for Energy Sector companies, including Utilities, Oil & Gas, and Mining companies, and Sean O'Grady, moderator. Tune in to learn how an enterprise risk management strategy may help reduce risks.
Views: 3276 Deloitte US
Active Learning with SAS®  Text Miner
 
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The video illustrates key enhancements with the 12.1 release of SAS Text Miner.
Views: 16054 SAS Software
Profiling Segments with SAS Enterprise Miner
 
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View this video tip from Catherine Truxillo to learn how to perform a cluster analysis using the segment profile node in SAS® Enterprise Miner™. This material is related to the type of content covered in the SAS training course, "Advanced Analytics for the Modern Business Analyst." To learn more, visit: https://support.sas.com/edu/schedules.html?ctry=us&id=1076 To view another video tip on using the segment profile node, visit http://www.youtube.com/watch?v=-1-GIe8_GgU
Views: 41008 SAS Software
Independent Enterprise Global Inc ETHEREUM BITCOIN MINING
 
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https://independent-enterprise.com/i/f89cd65673d336f ethereum ethereum vs bitcoin ethereum mining ethereum wallet ethereum news ethereum prediction ethereum tutorial ethereum value ethereum mining rig
Views: 270 Sean Logan
Data Mining Concepts implementation using SAS Enterprise Miner
 
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In this video, I have explained five Data Mining Concepts and implemented them using SAS Enterprise Miner
Independent Enterprise Ethereum Zcash Bitcoin Monero Mining
 
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Start mining ethereum and catch my spill over sign ups https://independent-enterprise.com/i/f89cd65673d336f Bitclub Network https://bit.ly/2i7NIIp EXP Asset http://panel.expasset.com/register/bottom/4267 Start mining ethereum for $100 and up https://independent-enterprise.com/i/f89cd65673d336f Learn to invest: ICO Gold Rush http://bit.ly/2zbCqqh
Views: 388 Sean Logan
How Asteroid Mining Will Save Earth
 
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Viewers like you help make PBS (Thank you 😃) . Support your local PBS Member Station here: https://to.pbs.org/DonateSPACE Thanks to Audible for supporting PBSDS. To start your free 30 day trial and receive a free audiobook visit https://www.audible.com/spacetime or text spacetime to 500 500! The days of oil may be numbered, but there’s another natural resource that’s never been touched, Asteroids. You can further support us on Patreon at https://www.patreon.com/pbsspacetime Get your own Space Time t­-shirt at http://bit.ly/1QlzoBi Tweet at us! @pbsspacetime Facebook: facebook.com/pbsspacetime Email us! pbsspacetime [at] gmail [dot] com Comment on Reddit: http://www.reddit.com/r/pbsspacetime Help translate our videos! https://www.youtube.com/timedtext_cs_panel?tab=2&c=UC7_gcs09iThXybpVgjHZ_7g Previous Episode: The Black Hole Information Paradox https://www.youtube.com/watch?v=9XkHBmE-N34 The richest person in modern history, was John Davison Rockefeller, His net worth was three times greater than that of our richest tech billionaires, inflation adjusted. And the source of that fortune? Timely exploitation of a vast, then-untapped natural resource: oil. Well, the days of oil may be numbered, but there’s another natural resource that’s never been touched, is effectively inexhaustible, and has a dollar value large enough to disrupt entire economies. That resource? Asteroids, and the precious materials they contain. Astrophysicist Neil deGrasse Tyson predicts that the world’s first trillionaire will be an asteroid miner. The Rockefellers of the 21st century may be less like the internet and tech moguls of the 20th century and more like the old-school oil barons of the 19th century. Hosted by Matt O'Dowd Written by Drew Rosen and Matt O'Dowd Graphics by Grayson Blackmon Assistant Editing and Sound Design by Mike Petrow and Linda Huang Made by Kornhaber Brown (www.kornhaberbrown.com) Special thanks to our Patreon Big Bang, Quasar and Hypernova Supporters: Big Bang CoolAsCats David Nicklas Anton Lifshits Joey Redner Fabrice Eap Quasar Tambe Barsbay Mayank M. Mehrota Mars Yentur Mark Rosenthal Dean Fuqua Roman Pinchuk ColeslawPurdie Vinnie Falco Hypernova Donal Botkin Edmund Fokschaner Matthew O’Connor Eugene Lawson Barry Hatfield Martha Hunt Joseph Salomone Chuck Zegar Craig Peterson Jordan Young Ratfeast John Hofmann Thanks to our Patreon Gamma Ray Burst Supporters: James Hughes Fabian Olesen Kris Fernet Jane Meyers James Flowers Greg Allen Denys Ivanov Nick Virtue Alexey Eromenko Nicholas Rose Scott Gossett Mark Vasile Patrick Murray Sultan Alkhulaifi Alex Seto Michal-Peanut Karmi Erik Stein Kevin Warne JJ Bagnell Avi Goldfinger John Pettit Florian Stinglmayr Benoit Pagé-Guitard Nathan Leniz Brandon Labonte David Crane Greg Weiss Shannan Catalano Brandon Cook Malte Ubl
Views: 352864 PBS Space Time
SAS Enterprise Miner: Impute, Transform, Regression & Neural Models
 
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http://support.sas.com/software/products/miner/index.html Chip Robie of SAS presents the fourth in a series of six "Getting Started with SAS Enterprise Miner 13.2" videos. This fourth video demonstrates imputing and transforming data, building a neural network, and building a regression model with SAS Enterprise Miner. For more information regarding SAS Enterprise Miner, please visit http://support.sas.com/software/products/miner/index.html SAS ENTERPRISE MINER SAS Enterprise Miner streamlines the data mining process so you can create accurate predictive and descriptive analytical models using vast amounts of data. Our customers use this software to detect fraud, minimize risk, anticipate resource demands, reduce asset downtime, increase response rates for marketing campaigns and curb customer attrition. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/en_us/software/analytics/enterprise-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 44484 SAS Software
Data Mining - SAS Enterprise Miner: How to create a new project and import data
 
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SAS Enterprise Miner: How to create a new project and import data. Not officially associated or endorsed by the module IMAT3603 at DMU.
Views: 1292 Jamie Cropley
Data Mining com SAS Enterprise Miner
 
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Como transformar enormes quantidades de dados em informações úteis para as empresas? Nesta apresentação, Marcelo Gavazzi explica como o SAS Enterprise Miner pode ajudar seu negócio nas tomadas de decisão.
Views: 719 SAS Software Brasil
Data Mining with R and SAS enterprise miner - Part 1
 
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Introduction to Data structures in R UCF University
Views: 189 taha mokfi
What are the key mining technologies of the future? – Jan Kwak Hatch
 
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We caught up with Jan Kwak, Hatch Australia & Asia Managing Director at the 2018 International Mining and Resources Conference (IMARC). With so much technology on the table, and a lot of ideas for new technology aimed at the mining sector. Jan shares what should be considered when selecting the right technology for an operation or enterprise. Jan also provided insights in to what the key technologies of the future will be and what up and coming students should consider studying to be prepared for these future technologies. IMARC returns to the Melbourne Convention & Exhibition Centre from 28 – 31 October 2019. For more information please visit http://imarcmelbourne.com/ About IMARC The International Mining and Resources Conference (IMARC) is where global mining leaders connect with technology, finance and the future. Now in its 6th year, it is Australia’s largest mining event bringing together over 6000 decision makers, mining leaders, policy makers, investors, commodity buyers, technical experts, innovators and educators from over 90 countries to hear from 350 thought leaders and meet 250 exhibitors over four days of learning, deal-making and unparalleled networking.
SAS Enterprise Miner: Making Machine Learning Manageable
 
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In this video, Beth Ebersole uses "Four Ways to Fast" as she quickly builds a Machine Learning process in just seven minutes using SAS® Enterprise Miner™. SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 3551 SAS Software
SAS Visual Data Mining and Machine Learning
 
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http://www.sas.com/vdmml Boost analytical productivity and solve your most complex problems faster with a single, integrated in-memory environment that's both open and scalable. SAS VISUAL DATA MINING AND MACHINE LEARNING SAS Visual Data Mining and Machine Learning supports the end-to-end data mining and machine-learning process with a comprehensive, visual (and programming) interface that handles all tasks in the analytical life cycle. It suits a variety of users and there is no application switching. From data management to model development and deployment, everyone works in the same, integrated environment. http://www.sas.com/vdmml SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 5921 SAS Software
L2: Data Warehousing and Data Mining |Enterprise data Warehousing|Data mart|Warehousing Terminology
 
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Join My official Whatsapp group by following link https://chat.whatsapp.com/F9XFi6QYFYOGA9JGw4gc1o L2: Data Warehousing and Data Mining |Enterprise data Warehousing|Data mart|Warehousing Terminology Namaskar, In the Today's lecture i will cover Introduction to Data Warehousing and Data Mining of subject Data Warehousing and Data Mining which is one of the important subject of computer science and engineering Syllabus Unit1: Data Warehousing: Overview, Definition, Data Warehousing Components, Building a Data Warehouse, Warehouse Database, Mapping the Data Warehouse to a Multiprocessor Architecture, Difference between Database System and Data Warehouse, Multi Dimensional Data Model, Data Cubes, Stars, Snow Flakes, Fact Constellations, Concept. Unit 2: Data Warehouse Process and Technology: Warehousing Strategy, Warehouse /management and Support Processes, Warehouse Planning and Implementation, Hardware and Operating Systems for Data Warehousing, Client/Server Computing Model & Data Warehousing. Parallel Processors & Cluster Systems, Distributed DBMS implementations, Warehousing Software, Warehouse Schema Design. Unit 3: Data Mining: Overview, Motivation, Definition & Functionalities, Data Processing, Form of Data Pre-processing, Data Cleaning: Missing Values, Noisy Data, (Binning, Clustering, Regression, Computer and Human inspection), Inconsistent Data, Data Integration and Transformation. Data Reduction:-Data Cube Aggregation, Dimensionality reduction, Data Compression, Numerosity Reduction, Discretization and Concept hierarchy generation, Decision Tree. Unit 4: Classification: Definition, Data Generalization, Analytical Characterization, Analysis of attribute relevance, Mining Class comparisons, Statistical measures in large Databases, Statistical-Based Algorithms, Distance-Based Algorithms, Decision Tree-Based Algorithms. Clustering: Introduction, Similarity and Distance Measures, Hierarchical and Partitional Algorithms. Hierarchical Clustering- CURE and Chameleon. Density Based Methods-DBSCAN, OPTICS. Grid Based Methods- STING, CLIQUE. Model Based Method –Statistical Approach, Association rules: Introduction, Large Item sets, Basic Algorithms, Parallel and Distributed Algorithms, Neural Network approach. Unit 5: Data Visualization and Overall Perspective: Aggregation, Historical information, Query Facility, OLAP function and Tools. OLAP Servers, ROLAP, MOLAP, HOLAP, Data Mining interface, Security, Backup and Recovery, Tuning Data Warehouse, Testing Data Warehouse. Warehousing applications and Recent Trends: Types of Warehousing Applications, Web Mining, Spatial Mining and Temporal Mining I am Sandeep Vishwakarma (www.universityacademy.in) from Raj Kumar Goel Institute of Technology Ghaziabad. I have started a YouTube Channel Namely “University Academy” Teaching Training and Informative. On This channel am providing following services. 1 . Teaching: Video Lecture of B.Tech./ M.Tech. Technical Subject who provide you deep knowledge of particular subject. Compiler Design: https://www.youtube.com/playlist?list=PL-JvKqQx2Ate5DWhppx-MUOtGNA4S3spT Principle of Programming Language: https://www.youtube.com/playlist?list=PL-JvKqQx2AtdIkEFDrqsHyKWzb5PWniI1 Theory of Automata and Formal Language: https://www.youtube.com/playlist?list=PL-JvKqQx2AtdhlS7j6jFoEnxmUEEsH9KH 2. Training: Video Playlist of Some software course like Android, Hadoop, Big Data, IoT, R programming, Python, C programming, Java etc. Android App Development: https://www.youtube.com/playlist?list=PL-JvKqQx2AtdBj8aS-3WCVgfQ3LJFiqIr 3. Informative: On this Section we provide video on deep knowledge of upcoming technology, Innovation, tech news and other informative. Tech News: https://www.youtube.com/playlist?list=PL-JvKqQx2AtdFG5kMueyK5DZvGzG615ks Other: https://www.youtube.com/playlist?list=PL-JvKqQx2AtfQWfBddeH_zVp2fK4V5orf Download You Can Download All Video Lecture, Lecture Notes, Lab Manuals and Many More from my Website: http://www.universityacademy.in/ Regards University Academy UniversityAcademy Website: http://www.universityacademy.in/ YouTube: https://www.youtube.com/c/UniversityAcademy Facebook: https://www.facebook.com/UniversityAcademyOfficial Twitter https://twitter.com/UniAcadofficial Instagram https://www.instagram.com/universityacademyofficial Google+: https://plus.google.com/+UniversityAcademy
Views: 1669 University Academy
What Metrics are Important to a Mining Enterprise? | Peter Mitchell, CFO, Coeur Mining, Inc.
 
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Visit Us at CFO Thought Leader: http://www.cfothoughtleader.com/ Subscribe to up to date with the latest video: https://www.youtube.com/c/cfothoughtleader?sub_confirmation=1 CFO THOUGHT LEADER is a lively, groundbreaking digital network. Our mission is to bring you personal firsthand accounts of CFOs who are driving change within their organizations. In addition to their company history we also share the career journey of our spotlighted guest: What did they struggle with? How did they persevere? What makes them successful?
Views: 80 CFO THOUGHT LEADER
Secrets of Enterprise Data Mining with Mark Tabladillo - Alaska SQL User Group - 09-11-14
 
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If you have a SQL Server license (Standard or higher) then you already have the ability to start data mining. In this new presentation, you will see how to scale up data mining from the free Excel 2013 add-in to production use. Aimed at beginning to intermediate data miners, this presentation will show how mining models move from development to production. We will use SQL Server 2014 tools including SSMS, SSIS, and SSDT. Speaker: Mark Tabladillo, SQL MVP Mark is a consultant who provides enterprise data science analytics advice and solutions. He uses Microsoft Azure Machine Learning, Microsoft SQL Server Data Mining, SAS, SPSS, R, and Hadoop (among other tools). He works with Microsoft Business Intelligence (SSAS, SSIS, SSRS, SharePoint, Power BI, .NET). He is a SQL Server MVP and has a research doctorate (PhD) from Georgia Tech. More Info: http://www.alaskasql.org/blog/post/16/9-11-14--Secrets-of-Enterprise-Data-Mining
Decision Trees, Boosting Trees, and Random Forests: A Side-by-Side Comparison
 
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Learn about three tree-based predictive modeling techniques: decision trees, random forests, and gradient boosted trees with SAS Visual Data Mining and Machine Learning on SAS Viya . SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 13284 SAS Software
What is the Best Healthcare Data Warehouse Model for Your Organization?
 
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Choosing the right data model for your healthcare enterprise data warehouse (EDW) is one of the most significant decisions made in establishing a data warehousing and foundational analytics strategy for the future. The right data model can significantly speed up your analytics time-to-value and adaptability, or significantly burden your project with disastrous consequences in agility and project delays. In the healthcare industry where the data environment is much more complicated than a sales receipt and the analytic uses cases are constantly changing, the Kimball and Inmon approaches can be challenging in their impact on agility and initial time-to-value. This is why a new Late-Binding™ approach to data warehousing is quickly becoming discussed and viewed as an alternative approach to solving healthcare’s unique data challenges. Join Steve Barlow as he addresses the strengths and weaknesses of each of the following three primary Data Model approaches for data warehousing in healthcare: Enterprise Data Model Independent Data Marts Late-binding Solutions
Views: 3929 Health Catalyst
Data Mining - SAS Enterprise Miner - Review
 
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SAS Enterprise Miner provides easy to use suite of structured data mining tools for creating and sharing models, based on the analysis of the given data. SAS Enterprise Miner selects the model best fit for your data by focusing on building the least complex model. We will be testing the Iris Data Set. You can download the data set from UCI Machine Learning Repository. https://archive.ics.uci.edu/ml/datasets/iris You can download the data set by clicking on "Download Data Folder". The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. We have sepal length, sepal width, petal width, petal length (all these attributes are measured in centimeter) and 3 classes of flower: Iris Setosa, Iris Virginica and Iris Versicolour. We will be using Petal Width as our Target Variable. Software Used: 1. SAS Enterprise Miner 2. Camtasia 3. Freemake
Views: 34 Mayank Yadav
A Career in Coal Mining (JTJS22008)
 
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You need passion and commitment if you want to work in a mine as Craig Glenie finds out when he checks out the life of a miner at one of New Zealand's seven mines. The Huntly East Mine is in the business of coal to the tune of around 40,000 tonnes a month. The physical and environmental challenges of extracting coal can be significant but as Craig discovers, mining is a stable industry offering numerous career opportunities. To find out more about a career in mining go to http://www.justthejob.co.nz
Views: 49970 Just the Job
Space: The Next Trillion Dollar Industry
 
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Views: 1246934 Wendover Productions
operational excellence and the digital mining enterprise - SAP Mining
 
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We represent some of the worlds leading ERP solution providers, specializing in ERP software systems for mining companies and industries. Learn more: http://managementerpsoftware.com/erp-software-for-mining-companies-industry/ or at http://businesssoftwaresolutions.co.za/erp-software-for-mining-companies-industry/ Business Software Solutions allows you to Compare and Choose Africa's best Business Management Software / Solution that will meet the demanding needs of your Small or Medium Enterprise. Our network of software vendors provide FREE quotations / proposals tailored to your requirements. Just complete our contact form and we will have the best suited business management software providers knocking on your door, offering the best solutions for your consideration. Solutions are offered across Africa, including Equatorial Guinea, Gabon, Botswana, Mauritius, South Africa, Libya, Tunisia, Namibia, Algeria, Egypt, Angola, Swaziland, Morocco, Congo, Ghana, Nigeria, Djibouti, Sudan, Chad, Cameroon, Lesotho, Mauritania, Mauritius, Kenya, Dubai (United Arab Emirates), Seychelles, Zambia. Some of our business partners are: http://managementerpsoftware.com/ http://itnetworksolutions.co.za/ http://businessmanagementsoftware.co.za/ http://hrpayrollsoftware.co.za/ http://exhibitionstandsuppliers.com/ http://exhibitionstanddesigners.co.za/ http://tourguides4africa.com/
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Warehousing | Edureka
 
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** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ** This Data Warehouse Tutorial For Beginners will give you an introduction to data warehousing and business intelligence. You will be able to understand basic data warehouse concepts with examples. The following topics have been covered in this tutorial: 1. What Is The Need For BI? 2. What Is Data Warehousing? 3. Key Terminologies Related To DWH Architecture: a. OLTP Vs OLAP b. ETL c. Data Mart d. Metadata 4. DWH Architecture 5. Demo: Creating A DWH - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Intelligence playlist here: https://goo.gl/DZEuZt. #DataWarehousing #DataWarehouseTutorial #DataWarehouseTraining Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
Views: 268107 edureka!
Cryptocurrency Mining with SERVER Power Suppiles
 
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I have a follow up video coming soon to walk you through migrating my rig to 1400w server PSUs! In this video I walk you through a real general computer datacenter and compare that to GPU compute and mining for crypto (or folding). --------------------------------------------------------------- Server Power Supplies: https://www.parallelminer.com/product/build-your-delta-platinum-94-1400watt-200-240v-power-supply-kit-for-btc-dash-ltc-bch-miners/?wpam_id=110 Motherboard - ASUS Prime Z270-A: http://amzn.to/2CJtHhb CPU - Intel Pentium G4400: http://amzn.to/2CUic9K RAM - G.SKILL 8GB Ripjaws V Series DDR4: http://amzn.to/2CHFvQZ Flash Drive (instead of HDD) - SanDisk Ultra Fit 128GB: http://amzn.to/2AJ0Zeg GPUs - Gigabyte AORUS GeForce GTX 1080 Ti 11GB: http://amzn.to/2FiSABS Power Supply - EVGA SuperNOVA 1000 T2: http://amzn.to/2FgXak8 SMOS: https://simplemining.net/ --------------------------------------------------------------- Common Questions: What motorcycle do I ride? A few. Ducati 1198, Honda Fury, Honda Grom, Honda Ruckus What do I do for a living? Make YouTube videos and work in enterprise data storage. Can you wheelie? No, I suck. Are you fast? Sort of. I suck mostly though. Where can I keep up with you off the bike? Instagram: WatchJRGo Facebook: WatchJRGo (or JRGo, FB hates my branding) Do you go to school? College, for 2 classes. Why do you ride so dangerously? What do mean? I was doing 25. Do you go to the track? Of course, hopefully there will be videos in the future. Do you play video games? No, but I might stream N64 Goldeneye at some point. Twitch: WatchJRGo Are you afraid the police will watch your videos and arrest you? Something something evidence something something warrants and due process of law
Views: 3253 WatchJRGo
Defining Next Generation Enterprise IT
 
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A short introduction to what we mean by next generation enterprise IT.
Views: 362 educause
Bonus footage from the Enterprise Mine
 
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The Enterprise lode has been developed by nine adits, several intermediate levels and two shafts. One shaft was sunk on the lode about 15 metres above and 90 metres southwest of the uppermost adit, and the other shaft from a point about 10 metres below and a short distance northeast of the lowest adit - the difference in elevation between the collar of the upper shaft and the bottom of the lower shaft being about 335 metres .Production from the property began in 1896 and 11,067 tonnes of ore were mined by 1977 yielding 32,676,718 grams of silver, 1674 tonnes of lead, 1068 tonnes of zinc, 2041 grams of gold, 445 kilograms of cadmium and 149 kilograms of copper.
Getting Started with SAS Enterprise Miner: Building Decision Trees
 
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http://support.sas.com/software/products/miner/index.html Chip Robie of SAS presents the third in a series of six "Getting Started with SAS Enterprise Miner 13.2" videos. This third video demonstrates building decision trees in SAS Enterprise Miner. For more information regarding SAS Enterprise Miner, please visit http://support.sas.com/software/products/miner/index.html SAS ENTERPRISE MINER SAS Enterprise Miner streamlines the data mining process so you can create accurate predictive and descriptive analytical models using vast amounts of data. Our customers use this software to detect fraud, minimize risk, anticipate resource demands, reduce asset downtime, increase response rates for marketing campaigns and curb customer attrition. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/en_us/software/analytics/enterprise-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 55774 SAS Software
SAS Best Practice: Novartis - Valéry Risson
 
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SAS Analytics particular SAS Enterprise Miner facilitates Novartis to stay innovative. https://www.sas.com/de_ch/software/analytics.html SASSOFTWARE GERMANY ABONNIEREN https://www.youtube.com/channel/UC8t-KD1l0avSjALt5MUndiQ?sub_confirmation=1 ÜBER SAS SAS ist Marktführer bei Business-Analytics-Software und der weltweit größte unabhängige Anbieter im Business-Intelligence-Markt.SAS liefert seinen Kunden THE POWER TO KNOW®. SAS BESUCHEN http://www.sas.com/de_de/home.html MIT SAS VERBINDEN SAS► http://www.sas.com/de_de/home.html SAS Kundendienst► http://support.sas.com Facebook► https://www.facebook.com/sas.dach?fref=ts Twitter► https://twitter.com/sas_d LinkedIn► https://www.linkedin.com/company/sas-d-a-ch?trk=prof-following-company-logo Google+► https://plus.google.com/+sassoftware/posts Blog► http://blogs.sas.com RSS ► http://www.sas.com/rss
Views: 423 SAS Software D-A-CH
Text mining tutorial
 
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This text mining techniques can be used during company's recruitment process.
Views: 14717 cyanboy010
Introduction to KPMG Process Mining with Microsoft Power BI
 
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KPMG Process Mining visualizes actual business processes with Microsoft Power BI. The processes are created from transactional data and do not need any user modeling. This ensures process analysis without bias and provides full end-to-end process transparency. It aims to help businesses find and present better alternatives to real-life processes, to make them more efficient and controls more effective. The demonstration shows a procurement process from the creation of a purchase request to a payment release that has been analyzed in three specific use cases. Learn more: https://powerbi.microsoft.com/en-us/
Views: 9750 KPMG
ETH mining live! Look how its look like in Independent Enterprise
 
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Join link: http://independent-enterprise.com/i/b35bdf46a7ed404 Video from live mining in Independent Enterprise. Day by day, minute by minute, second by second - in this company you will see mining results all the time. --- IMPORTANT: Remember that correct registration in this company is only then, when, you will buy minimum lowest mining contract (4 MH/S for 111$ during registraion (!). No empty accounts. Payments possible in few different cryptocurrencies, like: #Ethereum , Bitcoin, Litecoin, Ethereum Classic, BitcoinCash and Dash. Independent Enterprise Independent Enterprise mining Independent Enterprise computing power Independent Enterprise live mining live mining ethereum mining eth mining mining contracts mining in Independent Enterprise #independententerprise --- "All about Independent Enterprise" is not an official youtube channel of Independent Enterprise. I am only a company user and I have purchased contracts for computing power in it. If you have any questions, you can always ask me about. I have also direct contact with owners (I know them face-to-face). --- DISCLAIMER: Remember that in cryptocurrency mining you do not have a 100% profit guarantee, because the potential return and profit depends on many different factors: mining difficulties, market situation, ETH price on the day you will be wanted to sell ETH, etc. Therefore, when buying a mining contract in #IE or in any other company, remember that you have the possibility of a very interesting income, but here is also a risk of loss. By buying a mining contract you accept this risk and confirm that you are aware of it. Good luck!
MIT Enterprise Forum San Diego - Mining For Gold - January 2017
 
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What are local Universities and Corporations doing to help accelerate, incubate and fund entrepreneurs? Join a distinguished panel as they discuss this exciting topic.
Modi Mining wins National Enterprise Development Awards
 
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Shanduka Black Umbrellas established the National Enterprise Development Awards in recognition of the achievements by entrepreneurs in their business incubation programme. These awards highlight the hard work and dedication required to establish and sustain a successful business that creates jobs and contribute to the economy. This year's awards took place on Wednesday with the theme being "impact and value". This year's overall winner is Modi Mining. Joining me in studio is CEO of Shanduka Black Umbrellas, Seapei Mafoyane and Samuel Molefi of Modi Mining. For more news, visit: http://www.sabc.co.za/news
Views: 349 SABC Digital News
World mining enterprise  based in uk, legitimate
 
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for those who have joined happyProfit and for new to know and do not know what World Mining please see our video collection. And if you want to join please click on the link below https://goo.gl/yK3xu3 Free 30Gh / s + Bounty per month
What Data Does Windows 10 Send to Microsoft?
 
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Your Windows 10 installation is probably sending quite a bit of information to Microsoft. Just what sorts of things are being sent, and could they be used to identify you or your activities? Try Tunnelbear for free, no credit card required, at https://www.tunnelbear.com/Linus Techquickie Merch Store: https://www.designbyhumans.com/shop/LinusTechTips/ Techquickie Movie Poster: https://shop.crowdmade.com/collections/linustechtips/products/tech-quickie-24x36-poster Follow: http://twitter.com/linustech Leave a reply with your requests for future episodes, or tweet them here: http://twitter.com/jmart604 Join the community: http://linustechtips.com Intro Theme: Showdown by F.O.O.L from Monstercat - Best of 2016 Video Link: https://www.youtube.com/watch?v=pm36k08jQ0M&t=2422s iTunes Download Link: https://itunes.apple.com/us/album/monstercat-best-of-2016/id1185092812 Listen on Spotify: https://open.spotify.com/album/5Zt1P3ZbnfErBkiqcfBTCN
Views: 402565 Techquickie