Data Mining Tutorial


What is data mining tutorial?

Data Mining is known as the process of extracting information from the gathered data. This tutorial explains about overview and the terminologies related to the data mining and topics such as knowledge discovery, query language, classification and prediction, decision tree induction, cluster analysis, and how to mine the Web.

Audience

This tutorial is mainly intended to design for computer science graduates to know more about the basic-to-advanced concepts related to data mining.

Prerequisites

To learn this tutorial one must have basic knowledge about database concepts such as schema, ER model, Structured Query language and having basic knowledge of Data Warehousing concepts.
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Introduction To Data Mining What Is Data Mining Business Problems For Data Mining Data Mining Tasks Data Mining Techniques Data Flow Data Mining Project Cycle Data Mining And The Current Market Current Issues And Challenges Data Mining Standards Ole Db For Dm And Xml For Analysis New Trends In Data Mining Ole Db For Data Mining Introducing Ole Db Why Ole Db For Data Mining? Exploring The Basic Concepts In Ole Db For Data Mining Dmx Understanding Schema Rowsets Understanding Extensions For Mining Structures Using Sql Server Data Mining Introducing The Business Intelligence Development Studio Setting Up Your Data Sources Creating And Editing Models Processing Using Your Models Using Sql Server Management Studio Microsoft Naive Bayes Introducing The Naive Bayes Algorithm Understanding Naive Bayes Principles Naive Bayes Parameters Naïve Bayes Algorithm Microsoft Decision Trees Introducing Decision Trees Decision Tree Principles Decision Tree Algorithm Parameters. Using Decision Trees Microsoft Time Series Introducing The Microsoft Time Series Algorithm Introducing The Principles Of The Microsoft Time Series Algorithm Understanding The Algorithm Parameters Using Microsoft Time Series Microsoft Clustering Introducing The Microsoft Clustering Algorithm Introducing The Principles Of Clustering How To Tune The Behavior Of The Clustering Algorithm? Using Clustering Models Microsoft Sequence Clustering Introducing The Microsoft Sequence Clustering Algorithm Microsoft Sequence Clustering Algorithm Principles Clustering Algorithm Using The Sequence Clustering Algorithm Microsoft Association Rules Introducing Microsoft Association Rules Association Algorithm Principles Algorithm Parameters Settings Using The Association Algorithm Microsoft Neural Network Introducing The Principles Of The Microsoft Neural Network
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Introducing The Algorithm Parameters Mining Olap Cubes Introducing Olap Performing Calculations In Data Mining Browsing A Cube Understanding Unified Dimension Modeling Understanding The Relationship Between Olap And Data Mining Building Olap Mining Models Using Wizards And Editors Understanding Data Mining Dimensions Using Mdx Inside Dmx Queries Using Analysis Management Objects For The Olap Mining Model Data Mining With Sql Server Integration Services Introducing Ssis Data Mining In Ssis Environment Sql Server Data Mining Architecture Introducing Analysis Services Architecture Xml For Analysis Processing Architecture Data Mining Administration Programming Sql Server Data Mining Data Mining Apis Using Analysis Services Apis Using Microsoft.analysisservices To Create And Manage Mining Models Browsing And Querying Mining Models Implementing A Web Cross-selling Application Source Data Description Building Your Model Making Predictions Integrating Predictions With Web Applications Advanced Forecasting Using Microsoft Excel Configuring Analysis Services For Session Models Using The Advanced Forecasting Tool Exceltimeseries Add-in Architecture Building The Input Data Set Creating And Training The Mining Model Forecasting The Series Bringing It All Together Extending Sql Server Data Mining Understanding Plug-in Algorithms Using Data Mining Viewers Conclusion And Additional Resources Recapping The Highlights Of Sql Server 2005 Data Mining Exploring New Data Mining Frontiers And Opportunities Data Mining Interview Questions Data Mining Practice Tests