Data Mining pdf epub mobi txt 電子書下載2025

簡體網頁||繁體網頁

☆☆☆☆☆

出版者:Morgan Kaufmann

作者:Ian H. Witten

出品人:

頁數:560

译者:

出版時間:2005-6-22

價格:USD 75.95

裝幀:Paperback

isbn號碼:9780120884070

叢書系列:

圖書標籤:

數據挖掘
機器學習
DataMining
計算機
數據庫
計算機科學
人工智能
Data-Mining
數據挖掘
機器學習
統計分析
數據庫
人工智能
模式識彆
商業智能
預測分析
聚類分析
分類算法

下載連結在頁面底部

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 複製連結

想要找書就要到小美書屋

book.quotespace.org

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

具體描述

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more; algorithmic methods at the heart of successful data mining-including tried and true techniques as well as leading edge methods; performance improvement techniques that work by transforming the input or output; and, downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization-in a new, interactive interface.

著者簡介

圖書目錄

讀後感

評分☆☆☆☆☆

我觉得，可以当作weka的使用手册来看，但是比weka自带的指南写的好看。算法部分的介绍很详细。

評分☆☆☆☆☆

作者不是Jiawei Han好嘛. 没读过写什么书评! 作者是怀卡托大学的Ian和Eibe, Weka的发明人. 没看过别瞎BB. 豆瓣写错author你们就顺杆爬有意思么...............................................................................................................................

評分☆☆☆☆☆

作者可以说是享誉盛名，但是这本书写出来，基本上章法全无。理论和例子基本上没有几个是适合入门者的，加上翻译有些地方表意不清。初阶入门者看了的话，肯定一团迷雾。评论太短了嘛？评论太短了嘛？评论太短了嘛？评论太短了嘛？评论太短了嘛？评论太短了嘛？评论太短了嘛？评...

評分☆☆☆☆☆

这本dm的书啃完了，觉得有点这个书有点“偏见”，怎么理解呢前面的东西不错哦，可是后半部分的Weka平台我个人觉得翻翻就行了，要学还不如看看spss的书呢，前面关于机器模型的建立的数学基础要求的不是很高，所以很适合一般没有学过随机过程的人看看，要是数学很牛的人，可以看...