Mastering SQL Server 2014 Data Mining

Amarpreet Singh Bassan, Debarchan Sarkar

  • 出版商: Packt Publishing
  • 出版日期: 2014-12-29
  • 售價: $2,010
  • 貴賓價: 9.5$1,910
  • 語言: 英文
  • 頁數: 386
  • 裝訂: Paperback
  • ISBN: 184968894X
  • ISBN-13: 9781849688949
  • 相關分類: MSSQLSQLData-mining
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Master selecting, applying, and deploying data mining models to build powerful predictive analysis frameworks

About This Book

  • Understand the different phases of data mining, along with the tools used at each stage
  • Explore the different data mining algorithms in depth
  • Become an expert in optimizing algorithms and situation-based modeling

Who This Book Is For

If you are a developer who is working on data mining for large companies and would like to enhance your knowledge of SQL Server Data Mining Suite, this book is for you. Whether you are brand new to data mining or are a seasoned expert, you will be able to master the skills needed to build a data mining solution.

What You Will Learn

  • Get an overview of the data mining life cycle
  • Understand the intricacies of SQL Server BI Suite with the help of a practical example
  • Collate data from diverse data sources and build a data warehouse
  • Gain in-depth knowledge about the various data mining models such as classification, segmentation, association, and more
  • Perform data mining using Big Data and Excel add-ins
  • Work on real-world data and gain insights into it using various data mining algorithms
  • Fine tune data mining models
  • Troubleshoot problems encountered during data mining activities performed in this book

In Detail

Whether you are new to data mining or are a seasoned expert, this book will provide you with the skills you need to successfully create, customize, and work with Microsoft Data Mining Suite. Starting with the basics, this book will cover how to clean the data, design the problem, and choose a data mining model that will give you the most accurate prediction.

Next, you will be taken through the various classification models such as the decision tree data model, neural network model, as well as Naive Bayes model. Following this, you'll learn about the clustering and association algorithms, along with the sequencing and regression algorithms, and understand the data mining expressions associated with each algorithm. With ample screenshots that offer a step-by-step account of how to build a data mining solution, this book will ensure your success with this cutting-edge data mining system.

商品描述(中文翻譯)

掌握選擇、應用和部署資料探勘模型,以建立強大的預測分析框架

關於本書
- 了解資料探勘的不同階段,以及每個階段所使用的工具
- 深入探索各種資料探勘演算法
- 成為優化演算法和情境建模的專家

本書適合誰
如果您是為大型公司從事資料探勘的開發人員,並希望增強對 SQL Server Data Mining Suite 的知識,那麼本書適合您。無論您是資料探勘的新手還是經驗豐富的專家,您都能掌握建立資料探勘解決方案所需的技能。

您將學到什麼
- 獲得資料探勘生命週期的概述
- 透過實際範例了解 SQL Server BI Suite 的複雜性
- 從多樣的資料來源彙整資料並建立資料倉儲
- 深入了解各種資料探勘模型,如分類、分群、關聯等
- 使用大數據和 Excel 外掛進行資料探勘
- 在真實世界的資料上工作,並使用各種資料探勘演算法獲得見解
- 微調資料探勘模型
- 排除在本書中進行資料探勘活動時遇到的問題

詳細內容
無論您是資料探勘的新手還是經驗豐富的專家,本書將提供您成功創建、自訂和使用 Microsoft Data Mining Suite 所需的技能。本書從基礎開始,將涵蓋如何清理資料、設計問題以及選擇能提供最準確預測的資料探勘模型。

接下來,您將學習各種分類模型,如決策樹資料模型、神經網路模型以及 Naive Bayes 模型。隨後,您將了解分群和關聯演算法,以及序列和回歸演算法,並理解與每個演算法相關的資料探勘表達式。本書提供了大量的截圖,逐步說明如何建立資料探勘解決方案,確保您在這個尖端資料探勘系統中的成功。