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Microsoft SQL Server 2005

Data Mining Tutorial

????????目?????錄
??????? Introduction
??????? Mining Model Algorithms
??????????????? Microsoft Decision Trees
??????????????? Microsoft Clustering
??????????????? Microsoft Na?ve Bayes
??????????????? Microsoft Time Series
??????????????? Microsoft Association
??????????????? Microsoft Sequence Clustering
??????????????? Microsoft Neural Network
??????????????? Microsoft Linear Regression
??????????????? Microsoft Logistic Regression
??????? Working Through the Tutorial
??????????????? Preparing the SQL Server Database
??????????????? Preparing the Analysis Services Database
??????????????????????? Creating an Analysis Services Project
??????????????????????? Creating a Data Source
??????????????????????? Creating a Data Source View
??????????????????????? Editing the Data Source View
??????????????? Building and Working with the Mining Models
??????????????????????? Targeted Mailing
??????????????????????? Forecasting
??????????????????????? Market Basket
??????????????????????? Sequence Clustering

A Tutorial for Text Classification using SQL Server 2005 Beta2 Data Mining

????????目?????錄
????????Introduction
????????Create a database
????????Import News Group Articles to the database
????????Build a dictionary
????????Build term vectors
????????Prepare train/test samples
????????Build/Test/Refine data mining models
????????Deployment data mining models

A Tutorial for Constructing a Plug-In Algorithm

????????目?????錄
??????? Overview
??????? The Big Picture
??????? The Model: Pair-wise Linear Regression
??????? Important Supplied Files
??????? Important Preliminaries
??????? Building a Shell Plug-In Algorithm
??????????????? Step 1: Creating the project
??????????????? Step 2: Creating the ALGORITHM class
??????????????? Step 3: Creating the FACTORY class
??????????????? Step 4: Creating the NAVIGATOR class
??????????????? Step 5: Registering the algorithm with Analysis Services
??????????????? Step 6: Testing the shell algorithm
??????? Customizing the Algorithm: Pair-wise Linear Regression
??????????????? Step 1:? Customize IDMAlgorithmMetadata
??????????????? Step 2: Customize IDMAlgorithmFactory
??????????????? Step 3: Customize IDMAlgorithm
??????????????? Step 4: Customize IDMPersist
??????????????? Step 5: Customize IDMAlgorithmNavigation
??????? Using the Customized Plug-In Algorithm
??????????????? Building a Model
??????????????? Viewing a Model
??????????????? Making Predictions
??????????????? Setting Parameters

SQL Server Data Mining: Plug-In Algorithms

????????目?????錄
??????? Overview
??????? Requirements
??????????????? Interfaces Implemented by Algorithm Providers
??????????????????????? IDMAlgorithmFactory
??????????????????????? IDMAlgorithmMetadata
??????????????????????? IDMAlgorithm
??????????????????????? IDMCaseProcessor
??????????????????????? IDMAlgorithmNavigation : IDMDAGNavigation
??????????????????????? IDMPullCaseSet
??????????????????????? IDMPersist
??????????????????????? IDMCaseIDIterator [optional]
??????????????????????? IDMMarginalStat [optional]
??????????????????????? IDMClusteringAlgorithm [optional]
??????????????????????? IDMSequenceAlgorithm [optional]
??????????????????????? IDMTimeSeriesAlgorithm [optional]
??????????????????????? IDMCustomFunctionInfo [optional]
??????????????????????? IDMDispatch [optional]
??????????????????????? IDMTableResult [optional]
??????????????? Interfaces Consumed by Algorithm Providers
??????????????????????? IDMPushCaseSet
??????????????????????? IDMAttributeset
??????????????????????? IDMAttributeGroup
??????????????????????? IDMPersistenceWriter
??????????????????????? IDMPersistenceReader
??????????????????????? IDMServices
??????????????????????? IDMContextServices
??????????????????????? IDMModelServices
??????????????????????? IDMMemoryAllocator
??????????????????????? IDMStringHandler
??????????????????????? IDMVariantPtrHandler
??????????????????????? IDMContentMap
??????????????? Memory Management
??????????????? Access to Shared Data Types
??????????????????????? DMString and DMVariantPtr
??????????????? DMContext Object
??????????????????????? Service provider architecture
??????????????? Shared Definitions and Enumerations
??????????????? Algorithm Registration
??????????????? Algorithm Content Persistence
??????????????? Algorithm-Specific Modeling Flags
??????????????? Custom functions
??????????????? User-Updateable Algorithm Content
??????? Architecture
??????????????? Server Startup
??????????????? Mining Algorithm Information
??????????????? Mining Model Creation
??????????????? Mining Structure Processing
??????????????? Mining Model Training
??????????????? Mining Model Prediction
??????????????? Mining Model Browsing
??????????????? Mining Model Persistence
??????????????? Mining Model Drillthrough
??????????????? Mining Dimensions
??????????????? Sample Case Generation
??????????????? Importing and Generating PMML
??????????????? Error Handling

A Tutorial for Constructing a Plug-In Viewer

????????目?????錄
??????? Overview
??????? Setting up the project
??????? Implementing IMiningModelViewerControl
??????? Assigning a Strong Name to the Assembly
??????? Mechanisms to discover Data Mining models
??????? Update the plug-in algorithm to use the plug-in viewer
??????? Adding UI code to the viewer