Data Mining

Data Mining pdf epub mobi txt 电子书 下载 2025

出版者:Morgan Kaufmann
作者:Ian H. Witten
出品人:
页数:664
译者:
出版时间:2011-1-20
价格:GBP 42.99
装帧:Paperback
isbn号码:9780123748560
丛书系列:
图书标签:
  • 数据挖掘 
  • 机器学习 
  • DataMining 
  • MachineLearning 
  • weka 
  • 计算机 
  • 计算机科学 
  • CS 
  •  
想要找书就要到 图书目录大全
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research.

*Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects *Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods *Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks-in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization

具体描述

读后感

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

这种书的翻译都是一个导师,找多个研究生每人分俩章节,对这金山词霸翻译的,能好到哪里。所以要读还是读原版。  

评分

这本书虽然标题是Data Mining,但是核心内容还是机器学习。我理解“数据挖掘”主要指的还是KDD,即基于数据库的知识发现。在这个领域,基本的方法是聚类和关联规则发现;而在机器学习领域,主要研究的是分类。 这本书的内容主要是分类,也有一部分聚类的内容,关联规则发现基...  

评分

----------------------------------------- 外文教材, 外文参考书 请咨询 http://shop35575714.taobao.com ----------------------------------------  

评分

用户评价

评分

数据挖掘入门书,比较实用Weka,讲解了数据挖掘相应的基础算法和理论。内容很多,建议直接读英文版。

评分

it's a must for weka learners.

评分

数据挖掘入门书,比较实用Weka,讲解了数据挖掘相应的基础算法和理论。内容很多,建议直接读英文版。

评分

翻译版就不要去看了真的。。。

评分

= =

本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度google,bing,sogou

© 2025 book.wenda123.org All Rights Reserved. 图书目录大全 版权所有