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Introduction to Data Mining Introduction to Data Mining by Pang-Ning Tan
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Introduction to Data Mining Quotes Showing 1-2 of 2
“There are also books that contain collections of papers or chapters on particular aspects of knowledge discovery—for example, Relational Data Mining edited by Dzeroski and Lavrac [De01]; Mining Graph Data edited by Cook and Holder [CH07]; Data Streams: Models and Algorithms edited by Aggarwal [Agg06]; Next Generation of Data Mining edited by Kargupta, Han, Yu, et al. [KHY+08]; Multimedia Data Mining: A Systematic Introduction to Concepts and Theory edited by Z. Zhang and R. Zhang [ZZ09]; Geographic Data Mining and Knowledge Discovery edited by Miller and Han [MH09]; and Link Mining: Models, Algorithms and Applications edited by Yu, Han, and Faloutsos [YHF10]. There are many tutorial notes on data mining in major databases, data mining, machine learning, statistics, and Web technology conferences.”
Vipin Kumar, Introduction to Data Mining
“Popular textbooks on database systems include Database Systems: The Complete Book by Garcia-Molina, Ullman, and Widom [GMUW08]; Database Management Systems by Ramakrishnan and Gehrke [RG03]; Database System Concepts by Silberschatz, Korth, and Sudarshan [SKS10]; and Fundamentals of Database Systems by Elmasri and Navathe [EN10]. For an edited collection of seminal articles on database systems, see Readings in Database Systems by Hellerstein and Stonebraker [HS05].
There are also many books on data warehouse”
Vipin Kumar, Introduction to Data Mining