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CSE 674: Introduction to Data Mining

Description Introduction to the knowledge discovery process, key data mining techniques, efficient high performance mining algorithms, exposure to applications of data mining (bioinformatics and intrusion detection).

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CS059 - Data Mining -- Slides

Chapter 6 from the book “Introduction to Data Mining” by Tan, Steinbach, Kumar. Chapter 6 from the book Mining Massive Datasets by Anand Rajaraman and Jeff Ullman.

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Introduction to Data Mining by Pang-ning Tan, Michael Steinbach, Vipin Kumar and a great selection of related books, art and collectibles available now at AbeBooks.com.

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Pang-Ning Tan, Michael Steinbach and Vipin Kumar, Introduction to Data Mining, Addison Wesley, 2006 or 2017 edition. The examples are used in my data mining course at SMU and will be regularly updated and improved.

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Vipin Kumar has 31 books on Goodreads with 2150 ratings. Vipin Kumar’s most popular book is Introduction to Data Mining.

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Welcome to Pang-Ning Tan's Web page

General Information: Dr Pang-Ning Tan is a Professor in the Department of Computer Science and Engineering at Michigan State University. He received his M.S. degree in Physics and Ph.D. degree in Computer Science from University of Minnesota.

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Introduction to data mining. 作者:Pang-Ning Tan,Michael Steinbach, Vpin Kumar Data mining is a technology that blends traditional data analysis methods with sophisticated algorithms for processing large volumes of data.

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Lecture Notes for Chapter 2 Introduction to Data Mining

Attribute Values zAttribute values are numbers or symbols assigned to an attribute zDistinctionbetweenattributesandattributevaluesDistinction between attributes and ...

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 · Much data mining work assumes that the data set is a collection of records (data objects), each of which consists of a fixed set of data fields (attributes). See Figure 2.2(a) .

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Introduction To Data Mining Tan documents | PDFs Download

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