Introduction to Data Mining, Global Edition

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

Summary

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

Product details

• Authors: Anuj Karpatne, Ta, Steinbac, Tan, Kumar, Vipin Kumar, Pang-Ning Tan, Michael Steinbach, Steinbach
• Publisher: Pearson
• Content: Book
• Product form: Book
• Publication date: 30.06.2019
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT; Education and learning > Vocational and technical college books
• EAN: 9780273769224
• ISBN: 978-0-273-76922-4
• Pages: 864
• Dimensions (packing): 18.8 x 23.2 x 2.8 cm
• Weight (packing): 1,327 g
• Series: Pearson; Pearson