Introduction to data mining

By:

Tan, Pang-Ning

Contributor(s):

Material type: Text

TextPublication details: Noida Pearson India Education 2021Edition: 2nd edDescription: 856pISBN:

9789354491047 (pbk.)

Subject(s):

DDC classification:

006.312 TAN

Summary: "Introduction to Data Mining introduces the fundamental concepts and algorithms of data mining. The text offers 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 topic, thus providing the reader with the necessary background for the application of data mining to real problems. The text helps you understand the nuances of the subject, and includes important sections on classification, association analysis and cluster analysis."

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Book	Plaksha University Library	Computer science	006.312 TAN (Browse shelf(Opens below))	Available	003897
Book	Plaksha University Library	Computer science	006.312 TAN (Browse shelf(Opens below))	Available	003898
Book	Plaksha University Library	Computer science	006.312 TAN (Browse shelf(Opens below))	Available	003899
Book	Plaksha University Library	Computer science	006.312 TAN (Browse shelf(Opens below))	Available	003900
Book	Plaksha University Library	Computer science	006.312 TAN (Browse shelf(Opens below))	Available	003901
Book	Plaksha University Library	Computer science	006.312 TAN (Browse shelf(Opens below))	Available	003819

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https://www.pearson.com/en-us/subject-catalog/p/introduction-to-data-mining/P200000003204/9780133128901

"Introduction to Data Mining introduces the fundamental concepts and algorithms of data mining. The text offers 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 topic, thus providing the reader with the necessary background for the application of data mining to real problems. The text helps you understand the nuances of the subject, and includes important sections on classification, association analysis and cluster analysis."

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