Introduction to Data MiningSusan ChiuDomingo TavellaData Mining and Market Intelligence for Optimal Marketing Returns
数据库中存储的数据量急剧膨胀 需要从海量数据库和大量繁杂信息中提取有价值的知识,进一步提高信息的利用率 产生了一个新的研究方向:基于数据库的知识发现(Knowledge Discovery in Database),以及相应的数据挖掘(Data Mining)理论和技术的研究 随着大数据库的建立和海量数据的不断涌现,必然提出对强有力的数据分析工具...
Introduction to Data Mining 作者:Pang-Ning Tan/Michael Steinbach/Vipin Kumar 出版社:Addison Wesley 出版年:2005-05-12 页数:769 定价:USD 105.00 装帧:Hardcover ISBN:9780321321367 豆瓣评分 8.7 89人评价 5星 50.6% 4星 34.8% 3星 13.5% 2星
第章数据挖掘概述徐从富,浙江大学人工智能研究所年月日第一稿年月日第二次修改浙江大学研究生人工智能课件内容提纲数据挖掘介绍数据挖掘系统数据挖掘算法国际会议和期刊课后研读的论文主要参考资料,数据挖掘介绍,数据挖掘的由来,数据挖掘的应用,基本概念
Introduction to Data Miningoffers a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers and professionals. Presented in a clear and accessible way, the book outlines fundamental concepts and algorithms for each ...
作者:[美] Pang-Ning Tan (陈封能), Michael Steinbach (斯坦巴赫), Vipin Kumar (库玛尔) 著;范明 范宏建 等译 出版社:人民邮电出版社 ISBN:9787115241009 出版时间:2011-01 版次:2 印刷时间:2015-01 装帧:平装 开本:16开 页数:463页 字数:787千字 ...
chapter, we present an overview of data mining and outline the key topics to be covered in this book. We start with a description of some well-known applications that require new techniques for data analysis. Business Point-of-sale data collection (bar code scanners, radio frequency ...
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two ...
Introduction to Data Mining ppt (第一章)DataMining:Introduction LectureNotesforChapter1 IntroductiontoDataMining by Tan,Steinbach,Kumar ©Tan,Steinbach,Kumar IntroductiontoDataMining 精品PPT 4/18/2004 ‹#› WhyMineData?CommercialViewpoint Lotsofdataisbeingcollectedandwarehoused –Webdata,e-commerce ...
•IntroductiontoDataMining •Importantdataminingprimitives: –Classification –Clustering –AssociationRules –SequentialRules –AnomalyDetection •CommercialandScientificApplications 2 •Textbook: –IntroductiontoDataMiningbyPang-NingTan, MichaelSteinbach,andVipinKumar,2003 –DataMining:ConceptsandTechniquesbyJi...