Home
Search results “Sql data mining techniques for business”
Data Mining in SQL Server Analysis Services
 
01:29:25
Presenter: Brian Knight
Views: 97494 PASStv
Introduction to Data Mining in SQL Server Analysis Services
 
01:27:07
Data mining is one of the key hidden gems inside of Analysis Services but has traditionally had a steep learning curve. In this session, you'll learn how to create a data mining model to predict who is the best customer for you and learn how to use other algorithms to spend your marketing model wisely. You'll also see how to use Time Series analysis for budget and forecast prediction. Finally, you'll learn how to integrate data mining into your application through SSIS or custom coding.
Views: 8159 PASStv
Oracle data mining tutorial, data mining techniques: classification
 
33:45
What is data mining? The Oracle Data Miner tutorial presents data mining introduction. Learn data mining techniques. More lessons, visit http://www.learn-with-video-tutorials.com/oracle-data-mining-tutorial-video
Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
36:36
( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 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. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 53453 edureka!
Introduction to Data Mining  (1/3)
 
13:34
http://www.creativecommit.com. This video gives a brief demo of the various data mining techniques. The demo mainly uses Microsoft SQL server 2008, BIDS 2008 and Excel for data mining
Views: 150768 creativecommIT
Predicting Stock Prices with SSAS Mining Models
 
05:37
Predictive analytics and supervised machine learning with SSAS and C#. In this demo I use MS Time Series Mining structure within SSAS to predict stock prices using the Auto Regressive Integrated Moving Average (ARIMA) method. This is a bit of supervised machine learning with analysis services. I then query the mining model with SSMS and run a prediction query from a C# applications
Views: 2854 sackdeezle
Data Mining in Excel
 
10:49
How to implement data mining in excel? For more information please visit https://www.koenig-solutions.com/microsoft-training-certification-courses.aspx
Views: 1737 Koenig Solutions
SSAS Data Mining Overview
 
19:20
Just an overview of SSAS Data Mining. Check out Microsoft's tutorial for more info: https://msdn.microsoft.com/en-us/library/ms167167(v=sql.120).aspx
Views: 1554 Randal Root
Data Mining Software for Business and Science Video Tour
 
04:13
The newest data mining methods were incorporated into ESTARD Data Miner for carrying out automated data analysis. To work with this data mining tool you won't need SQL knowledge or long special trainings. The tool is a powerful end-to-end analytical solution: using it withing few clicks you will be able to discover hidden relations in data and to apply discovered knowledge for WHAT-IF analysis and searching for data patterns. Prediction becomes easy as never before. This data mining tool can be used knowledge discovery in various sectors including: * insurance industry * banking * finances * marketing campaigns * accounting & inventory management * healthcare * scientific researches * military sphere. Thanks to built in wizards and user-friendly interface unexperienced users need minimum time to start working with our data mining tool. ESTARD Software: https://secure.avangate.com/affiliate.php?ACCOUNT=HESTARD&AFFILIATE=25621&PATH=http%3A%2F%2Fwww.estard.com
Views: 858 Derrick Pride
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Warehousing | Edureka
 
01:38:50
***** 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. - - - - - - - - - - - - - - Please write back to us at [email protected] or call us at +91 90660 20866 for more information. 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: 190708 edureka!
Data Warehouse tutorial. Creating an ETL.
 
30:25
This Data Warehouse video tutorial demonstrates how to create ETL (Extract, Load, Transform) package. See more lessons http://www.learn-with-video-tutorials.com/data-warehouse-tutorial-video
What is Data Mining?
 
03:23
NJIT School of Management professor Stephan P Kudyba describes what data mining is and how it is being used in the business world.
Views: 386119 YouTube NJIT
Data Mining with SQL Server 2012 (Part I)
 
14:50
This is a part of SQL Server Dataming videos, this the part I. Introduction to the concepts.
Views: 13909 Rodrigo Ramos Dornel
ทำ Data Mining Model บน MS Visual Studio Business แบบ Associations
 
04:42
ทำ Data Mining Model บน MS Visual Studio Business แบบ Asscosiation
Views: 320 Siwawes Wongcharoen
Advanced Analytics with R and SQL
 
59:22
R is the lingua franca of Analytics. SQL is the world’s most popular database language. What magic can you make happen by combining the power of R and SQL for Data Science and Advanced Analytics? Imagine the power of exploring, transforming, modeling, and scoring data at scale from the comfort of your favorite R environment. Now, imagine operationalizing the models you create directly in SQL Server, allowing your applications to use them from T-SQL, executed right where your data resides. Come learn how to build and deploy intelligent applications that combine the power of R, SQL Server, thousands of open source R extension packages, and high-performance implementations of the most popular machine learning algorithms at scale.
Microsoft Visual Studio - Business Intelligence Data Mining
 
03:24
Microsoft Visual Studio - Business Intelligence Data Mining Analysis Services Project
Views: 673 Amândio Guedes
Advanced Excel - Data Mining Techniques using Excel
 
27:08
Key Takeaways for the session : Breaking junk using formula and generate reports VBA to manipulate data in required format Data extraction from external files Who should attend? People from any domain who work on data in any form. Good for Engineers, Leads, Managers, Sales people, HR, MIS experts, Data scientists, IT Support, BPO, KPO etc. Feel free to write me at [email protected]
Views: 22765 xtremeExcel
Introduction to Data Mining  (3/3)
 
03:15
http://www.creativecommit.com. This video gives a brief demo of the various data mining techniques. The demo mainly uses SQL server 2008, BIDS 2008 and Excel for data mining
Views: 14593 creativecommIT
Creating Association Rules using the SQL Server Data Mining Addin for Excel
 
06:16
Association Rules are a quick and simple technique to identify groupings of products that are often sold together. This makes them useful for identifying products that could be grouped together in cross-sell campaigns. Association rules are also known as Market Basket Analysis, as they used to analyse a virtual shopping baskets. In this tutorial I will demonstrate how to create association rules with the Excel data mining addin that allows you to leverage the predictive modelling algorithms within SQL Server Analysis Services. Sample files that allow you follow along with the tutorial are available from my website at http://www.analyticsinaction.com/associationrules/ I also have a comprehensive 60 minute T-SQL course available at Udemy : https://www.udemy.com/t-sql-for-data-analysts/?couponCode=ANALYTICS50%25OFF
Views: 7647 Steve Fox
Business Intelligence: Multidimensional Analysis
 
24:15
An introduction to multidimensional business intelligence and OnLine Analytical Processing (OLAP) suitable for both a technical and non-technical audience. Covers dimensions, attributes, measures, Key Performance Indicators (KPIs), aggregates, hierarchies, and data cubes. Downloadable slides available from SlideShare at http://goo.gl/4tIjVI
Views: 55199 Michael Lamont
What is OLAP?
 
05:05
This video explores some of OLAP's history, and where this solution might be applicable. We also look at situations where OLAP might not be a fit. Additionally, we investigate an alternative/complement called a Relational Dimensional Model. To Talk with a Specialist go to: http://www.intricity.com/intricity101/
Views: 362849 Intricity101
MS SQL Server Data mining  decision tree
 
18:19
Industry leading Build mission-critical, intelligent apps for online transaction processing (OLTP) with breakthrough scalability, performance, and availability. Advanced security Protect data at rest and in motion. SQL Server is the least vulnerable database for six years running in the NIST vulnerabilities database. End-to-end mobile BI Transform data into actionable insights. Deliver insights on any device—online or offline—at one-fifth the cost of other self-service solutions. In-database advanced analytics Analyze data directly within the SQL Server database—without moving the data—using R, the popular statistics language. Made for hybrid cloud Get a consistent platform and tooling for easier workload mobility between your datacenter, private cloud, or Microsoft Azure.
Views: 217 CCelda CCelda
Introduction to Data Mining  (2/3)
 
13:00
http://www.creativecommit.com. This video gives a brief demo of the various data mining techniques. The demo mainly uses SQL server 2008, BIDS 2008 and Excel for data mining
Views: 26809 creativecommIT
DATAMINING USANDO UN COMPLEMENTO DE SQL PARA EXCEL
 
17:39
Curso: Inteligencia de Negocios. Docente: Brian Cesar Pando Soto Integrantes: - Taboada Arévalo, Evonny Kristhel -Nieto Collado, Frank Universidad Nacional Agraria de la Selva / Facultad de Ingeniería en Informática y Sistemas / FIIS / 2013 /
Oracle data mining tutorial, data mining techniques classification
 
33:45
What is data mining? The Oracle Data Miner tutorial presents data mining introduction. Learn data mining techniques.
Creating a Datamining model using Oracle Data Mining 11gR2
 
07:45
Creating a Datamining model using Oracle Data Mining 11gR2 My system is: - Linux Ubuntu 10.04 (Lucid) 64 Bit - Oracle Database 11gR2 64 Bit - Oracle SQL Developer 3.0.04
Views: 6082 esinfield
Introduction to Datawarehouse in hindi | Data warehouse and data mining Lectures
 
10:36
#datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 245761 Last moment tuitions
How Do I: Setup and Configure the Excel Data-Mining Add-in?
 
07:40
This video shows how configure to setup the Data Mining Client For Excel addin. This addin is part of the Microsoft SQL Server 2008 Data Mining Add-ins for Microsoft Office 2007 download available at: http://www.microsoft.com/DOWNLOADS/details.aspx?familyid=896A493A-2502-4795-94AE-E00632BA6DE7.
Views: 33757 DeveloperVideos
Sales Forecasting with Excel and the SQL Server 2012 Data Mining Add-in Tutorial
 
04:30
Use the Excel Data Mining add-in for SQL 2012 Analysis Services. See how simple it is to build a predictive model that forecasts sales or other values based on historical data.
Views: 12608 Edward Kench
What is Business Intelligence (BI)?
 
03:47
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: 331084 Hitachi Solutions Canada
INTRODUCTION TO DATA MINING IN HINDI
 
15:39
Buy Software engineering books(affiliate): Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2whY4Ke Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2wfEONg Software Engineering: A Practitioner's Approach (India) by McGraw-Hill Higher Education https://amzn.to/2PHiLqY Software Engineering by Pearson Education https://amzn.to/2wi2v7T Software Engineering: Principles and Practices by Oxford https://amzn.to/2PHiUL2 ------------------------------- find relevant notes at-https://viden.io/
Views: 103820 LearnEveryone
Predictive Analytics With Microsoft SQL Server R
 
14:57
Microsoft SQL Server 2016 RC3 has embraced world most powerful analytical scripting language R. This demo we build a predictive model and learn to build, deploy it on the Microsoft SQL Server. We predict the salary of hire candidates of an organization with a basic linear regression model. The response variable is salary while the regressors being Age, Experience and Gender.
Views: 12937 Keshav Singh
Data analytics with Microsoft Azure
 
09:25
Explore the comprehensive set of services Microsoft Azure has for ingesting, storing and analyzing data of almost all types of scales, spanning table, file, streaming and other data types. The Azure platform provides tools across the data analytics' life-cycle. www.azure.com/essentials (Azure Essentials)
Views: 15521 Microsoft Mechanics
SQL Pass Book Readers - Delivering Business Intelligence - August 2013
 
57:32
Chapters 4, 5, & 6 - Here we talk about the Microsoft Business Intelligence stack and data warehouse design.
Views: 192 Ike Ellis
Analyze Key Influencers Tool.  Excel Data Mining Add in
 
15:20
Demonstration of how to use the "Analyze Key Influencer Tool" using the Excel Data Mining Add in. The video covers 1) What is the "Key Influencer Tool"? 2) What sort of business problems can it help answer? 3) A practical example. 4) A Comparison to "Decision Tree" classification models. Visit : http://www.analyticsinaction.com/category/modeling/ for more videos in Analytics, Data mining & Excel. I also have a comprehensive 60 minute T-SQL course available at Udemy : https://www.udemy.com/t-sql-for-data-analysts/?couponCode=ANALYTICS50%25OFF
Views: 5124 Steve Fox
Microsoft Data Mining Demo -- Fill from Example
 
03:35
Microsoft Data Mining Demo -- Fill from Example with SQL Server 2008 and Excel 2007
Views: 15174 MarkTabNet
Predictive Analytics with R Server and SQL Server 2016
 
01:01:44
They key to optimizing any business is to match demand with supply. Using Microsoft R Server and SQL Server 2016 we can forecast NYC taxi demand using the freely available NYC taxi data for the year 2013. Watch as we use the power of the R programming language in conjunction with Microsoft SQL Server 2016 to transform and prepare large amounts of data into a format that is ideal for building and deploying a predictive forecasting model.
Views: 20321 Pragmatic Works
Chapter 17 Data warehousing and Business Intelligence
 
01:12:54
In this chapter, we discuss how to take data and extract valuable new business insights from it. We start by zooming into the various levels of corporate decision making and how this relates to data requirements that support these decisions. This will bring us to the concept of a data warehouse, a massive consolidated data store which we formally define and extensively discuss in terms of data model, design, and development. We contrast data warehousing with some newer developments, such as virtualization, data lakes, and indicate synergies. We then zoom into Business Intelligence (BI), discussing query and reporting, pivot tables and On-Line Analytical Processing (OLAP) as key techniques to better understand and unravel hidden patterns in your corporate data.
Views: 1319 Bart Baesens
Analyzing and modeling complex and big data | Professor Maria Fasli | TEDxUniversityofEssex
 
19:30
This talk was given at a local TEDx event, produced independently of the TED Conferences. The amount of information that we are creating is increasing at an incredible speed. But how are we going to manage it? Professor Maria Fasli is based in the School of Computer Science and Electronic Engineering at the University of Essex. She obtained her BSc from the Department of Informatics of T.E.I. Thessaloniki (Greece). She received her PhD from the University of Essex in 2000 having worked under the supervision of Ray Turner in axiomatic systems for intelligent agents. She has previously worked in the area of data mining and machine learning. Her current research interests lie in agents and multi-agent systems and in particular formal theories for reasoning agents, group formation and social order as well as the applications of agent technology to e-commerce. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 130877 TEDx Talks
Using datamining with PowerPivot in Excel
 
09:30
In this screencast we see how to use the excel 2007 data mining add-ins on PowerPivot data in Excel 2010. For more information see http://business-intelligence.kdejonge.net.
Views: 18613 kjonge
Olap operations
 
07:07
Olap operations
Views: 21619 IMSUC FLIP
Manage the Data Deluge with Data Mining and Predictive Analytics
 
02:28
http://www.sas.com/technologies/analytics/datamining/index.html Learn how data mining can be applied to identify trends, patterns and relationships while predictive analytics can be used to predict future outcomes. SAS® ENTERPRISE MINER™ Reveal valuable insights with powerful data mining software. Descriptive and predictive modeling provide insights that drive better decision making. Now you can streamline the data mining process to develop models quickly. Understand key relationships. And find the patterns that matter most. Benefits: * Build better models with the best tools. * Empower business users. * Improve prediction accuracy. Share reliable results. * Automate model deployment and scoring. 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: 83186 SAS Software

Global regents thematic essay human and physical geography
Pros and cons of gun control essay ideas
Face to communication skills essay
Child labour essay 50 words of encouragement
Titration essay