Data Mining pdf epub mobi txt 电子书 下载 2024


Data Mining

简体网页||繁体网页
Ian H. Witten
Morgan Kaufmann
2005-6-22
560
USD 75.95
Paperback
9780120884070

图书标签: 数据挖掘  机器学习  DataMining  计算机  数据库  计算机科学  人工智能  Data-Mining   


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发表于2024-12-22

Data Mining epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Data Mining epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Data Mining pdf epub mobi txt 电子书 下载 2024



图书描述

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 下载 mobi epub pdf txt 电子书

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用户评价

评分

指定教科书,比较实际,讲weka的

评分

关于机器学习

评分

:无

评分

practical & simple

评分

我再次选择了撤离,转向RapidMiner

读后感

评分

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

评分

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

评分

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

评分

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...

评分

这本书确实如所知道的那样,翻译得很水。很多一些概念的东西就像把你隔在某种屏障外,然后其实说的并不是那么枯燥的东西………… 本书主要还是介绍机器学习的,用这本书的目的就是为了了解weka中算法实现的思想。从这点出发这本书还算是比较值当的了,比官方的文档确实还是要精...  

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