Data Mining with SQL Server 2005

ZhaoHui Tang, Jamie MacLennan

Data Mining with SQL Server 2005
  • 出版商: Wiley
  • 出版日期: 2005-10-07
  • 定價: $1,200
  • 售價: 3.3 折 $399
  • 語言: 英文
  • 頁數: 480
  • 裝訂: Paperback
  • ISBN: 0471462616
  • ISBN-13: 9780471462613
  • 相關分類: MSSQL、SQL、Data-mining

    • 立即出貨(限量) (庫存=9)

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商品描述

Description:

Your in-depth guide to using the new Microsoft(r) data mining standard to solve today's business problems

Concealed inside your data warehouse and data marts is a wealth of valuable information just waiting to be discovered. All you need are the right tools to extract that information and put it to use. Serving as your expert guide, this book shows you how to create and implement data mining applications that will find the hidden patterns from your historical datasets. The authors explore the core concepts of data mining as well as the latest trends. They then reveal the best practices in the field, utilizing the innovative features of SQL Server 2005 so that you can begin building your own successful data mining projects.

You'll learn:

  • The principal concepts of data mining
  • How to work with the data mining algorithms included in SQL Server data mining
  • How to use DMX-the data mining query language
  • The XML for Analysis API
  • The architecture of the SQL Server 2005 data mining component
  • How to extend the SQL Server 2005 data mining platform by plugging in your own algorithms
  • How to implement a data mining project using SQL Server Integration Services
  • How to mine an OLAP cube
  • How to build an online retail site with cross-selling features
  • How to access SQL Server 2005 data mining features programmatically

 

Table of Contents:

About the Authors.

Credits.

Foreword.

Chapter 1: Introduction to Data Mining.

Chapter 2: OLE DB for Data Mining.

Chapter 3: Using SQL Server Data Mining.

Chapter 4: Microsoft Naïve Bayes.

Chapter 5: Microsoft Decision Trees.

Chapter 6: Microsoft Time Series.

Chapter 7: Microsoft Clustering.

Chapter 8: Microsoft Sequence Clustering.

Chapter 9: Microsoft Association Rules.

Chapter 10: Microsoft Neural Network.

Chapter 11: Mining OLAP Cubes.

Chapter 12: Data Mining with SQL Server Integration Services.

Chapter 13: SQL Server Data Mining Architecture.

Chapter 14: Programming SQL Server Data Mining.

Chapter 15: Implementing a Web Cross-Selling Application.

Chapter 16: Advanced Forecasting Using Microsoft Excel.

Chapter 17: Extending SQL Server Data Mining.

Chapter 18: Conclusion and Additional Resources.

Appendix A: Importing Datasets.

Appendix B: Supported VBA and Excel Functions.

Index.

商品描述(中文翻譯)

描述：
您深入了解如何使用新的Microsoft(r)數據挖掘標準來解決當今的業務問題的指南。

您的數據倉庫和數據集市中隱藏著大量寶貴的信息，只等著被發現。您只需要合適的工具來提取這些信息並加以利用。作為您的專家指南，本書將向您展示如何創建和實施數據挖掘應用程序，以從您的歷史數據集中找到隱藏的模式。作者們探索了數據挖掘的核心概念以及最新趨勢。然後，他們揭示了該領域的最佳實踐，利用SQL Server 2005的創新功能，讓您可以開始構建自己成功的數據挖掘項目。

您將學到：
- 數據挖掘的主要概念
- 如何使用SQL Server數據挖掘中包含的數據挖掘算法
- 如何使用數據挖掘查詢語言DMX
- XML for Analysis API
- SQL Server 2005數據挖掘組件的架構
- 如何通過插入自己的算法來擴展SQL Server 2005數據挖掘平台
- 如何使用SQL Server Integration Services實施數據挖掘項目
- 如何挖掘OLAP立方體
- 如何構建具有交叉銷售功能的在線零售網站
- 如何以編程方式訪問SQL Server 2005數據挖掘功能

目錄：
- 關於作者
- 致謝
- 前言
- 第1章：數據挖掘簡介
- 第2章：OLE DB數據挖掘
- 第3章：使用SQL Server數據挖掘
- 第4章：Microsoft Naïve Bayes
- 第5章：Microsoft決策樹
- 第6章：Microsoft時間序列
- 第7章：Microsoft聚類
- 第8章：Microsoft序列聚類
- 第9章：Microsoft關聯規則
- 第10章：Microsoft神經網絡
- 第11章：挖掘OLAP立方體
- 第12章：使用SQL Server Integration Services進行數據挖掘
- 第13章：SQL Server數據挖掘架構
- 第14章：編程SQL Server數據挖掘
- 第15章：實施網絡交叉銷售應用程序
- 第16章：使用Microsoft Excel進行高級預測
- 第17章：擴展SQL Server數據挖掘

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