Books of Data mining
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Process Mining to Facilitate Process Improvement in a Healthcare Environment: An Emergency Department Case Study
By Laura MatthewsProcess Mining to Facilitate Process Improvement in a Healthcare Environment: An Emergency Department Case Study
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Advances in Data Mining and Modeling, Hong Kong, 27-28 June 2002
By Wai Ki Ching, Michael K. Ng... 8 dissimilarity matrix and their row total St. Note that the first row has the maximum total distance (S) = 12.05), ... Both (1.2) and (1.3) gives the same solution as in Heiser and Arabie “, Pliner * or Lau, Leung and Tse * with ...
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Discovering the Value of the Omaha System for Knowledge Representation and Data Classification: A Semantics-powered Text Mining Case Study
By Karen A. Monsen, Ragnhildur I. Bjarnadottir, Christie L. MartinThe text mining process included data selection, preprocessing, transformation, lexical analysis, and classification, performing at an 89% accuracy.
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Introduction to Data Mining
By Pang-Ning Tan, Michael Steinbach, Anuj KarpatneEach concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics.
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Handbook of Statistical Analysis and Data Mining Applications
By Robert Nisbet, Gary Miner, John Fletcher ElderThis comprehensive professional reference for scientists, engineers, and researchers brings together in a single resource all the information a beginner will need to rapidly learn how to conduct data mining and the statistical analysis ...
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Data Mining: Techniques And Trends
By Gopalan & SivaselvanData Mining: Techniques And Trends
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数据挖掘基础教程: A Tutorial-based Primer
By Richard J. Roiger责任者译名:罗伊尔。
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データマイニングと集合知: 基礎からWeb、ソーシャルメディアまで
By 石川博, 新美礼彦基礎からWeb、ソーシャルメディアまで
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Web数据挖掘
By Bing Liu, 俞勇本书不仅介绍了搜索,页面爬取和资源探索以及链接分析等传统的Web挖掘主题,而且还介绍了结构化数据的抽取,信息整合,观点挖掘和Web使用挖掘等内容 ...
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数据挖掘与知识发现
By 李雄飞高等学校研究生系列教材
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Essentials of Business Analytics
By David R. Anderson, Dennis J. Sweeney, Thomas A. WilliamsEssentials of Business Analytics
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The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
By James SangerThe Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection.
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Business Analytics: Descriptive, Predictive, Perscriptive
By Jeffrey D. Camm, James J. Cochran, Michael J. FryBusiness Analytics: Descriptive, Predictive, Perscriptive
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Privacy-Preserving Data Publishing
By Bee-Chung Chen, Daniel Kifer, Kristen Lefevre... 14∗∗∗ Asian Flu (Igor) 9 30–39 Any 1322∗ American Cancer (Jean) 10 30–39 Any 1322∗ American Cancer (Ken) 11 30–39 Any 1322∗ American Cancer (Lewis) 12 30–39 Any 1322∗ American Cancer Age Gender Zip Code Nationality Condition ...
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Web数据挖掘/超文本数据的知识发现/英文版/图灵原版计算机科学系列/Mining the Web: 超文本数据的知识发现
By Soumen Chakrabarti书中首先论述了Web的基础(包括Web信息采集机制、Web标引机制以及基于关键字或基于相似性搜索机制),然后系统地描述了Web挖掘的基础知识 ...
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Web数据挖掘
By Bing Liu, 勇·俞, 贵荣·薛本书不仅介绍了搜索, 页面爬取和资源探索以及链接分析等传统的Web挖掘主题, 而且还介绍了结构化数据的抽取, 信息整合, 观点挖掘和Web使用挖掘等内容.
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Clinical Data Mining and Warehousing
By Senior Lecturer in International Law James HarrisonThe Editor's intent in assembling this volume is to provide an introduction to standard techniques for managing and mining clinical data, and to illustrate these techniques with several applications related to laboratory medicine and ...
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Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis
By John Cerrito*1954-*, Patricia B. Cerrito"This book shows how the investigation of healthcare databases can be used to examine physician decisions to develop evidence-based treatment guidelines that optimize patient outcomes"--Provided by publisher
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Big Data in Healthcare: Statistical Analysis of the Electronic Health Record
By Farrokh Alemi"This book introduces health administrators, nurses, physician assistants, medical students, and data scientists to statistical analysis of electronic health records (EHRs).
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Scientific Data Mining: A Practical Perspective
By Chandrika KamathChandrika Kamath describes how techniques from the multi-disciplinary field of data mining can be used to address the modern problem of data overload in science and engineering domains.