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Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing)
Simovici, Dan A., Djeraba, Chabane
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Description for Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing)
Hardcover. Mathematical Tools for Data Mining Series: Advanced Information and Knowledge Processing. Num Pages: 831 pages, 93 black & white illustrations, 8 black & white tables, biography. BIC Classification: PBD; PBKS; UNF; UYA. Category: (P) Professional & Vocational. Dimension: 164 x 239 x 49. Weight in Grams: 1394.
Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained and only a general knowledge of mathematics is ... Read more
Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained and only a general knowledge of mathematics is ... Read more
Product Details
Format
Hardback
Publication date
2014
Publisher
Springer
Condition
New
Series
Advanced Information and Knowledge Processing
Number of Pages
831
Place of Publication
England, United Kingdom
ISBN
9781447164067
SKU
V9781447164067
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing)
From the book reviews: “This textbook is appropriate for an advanced undergraduate or graduate mathematics elective class. All theorems are proved, notation is standard, and ample exercise sets are included at the end of every chapter. … Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics is more than just the data-mining reference book. It is highly readable ... Read more