Data Mining pdf epub mobi txt 電子書 下載 2024


Data Mining

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Ian H. Witten
Morgan Kaufmann
2005-6-22
560
USD 75.95
Paperback
9780120884070

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   


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发表于2024-11-22

Data Mining epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

Data Mining epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

Data Mining pdf epub mobi txt 電子書 下載 2024



圖書描述

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.

Data Mining 下載 mobi epub pdf txt 電子書

著者簡介


圖書目錄


Data Mining pdf epub mobi txt 電子書 下載
想要找書就要到 小哈圖書下載中心
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

用戶評價

評分

機器學習入門經典

評分

應該更早讀的

評分

機器學習入門經典

評分

關於機器學習

評分

sdfsdfsdf

讀後感

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

一会是查询偏差,一会是搜索偏差~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  

評分

翻译的不大好,譬如:指针与引用的"引用(reference)",被翻译成"参考";JavaBean被翻译为Java豆;异常的"抛出"被翻译为"丢弃"....   不过对于想学习Weka,研究Weka源码的朋友来说,该书的算法介绍和软件使用还是很不错的.  

評分

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...............................................................................................................................  

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