Applied Data Mining, 1st Edition

  • Guandong Xu
  • Published By: CRC Press
  • ISBN-10: 1466585846
  • ISBN-13: 9781466585843
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 284 Pages | eBook
  • Original Copyright 2013 | Published/Released November 2015
  • This publication's content originally published in print form: 2013

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Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
1: Introduction.
2: Mathematical Foundations.
3: Data Preparation.
4: Clustering Analysis.
5: Classification.
6: Frequent Pattern Mining.
Advanced Data Mining.
7: Advanced Clustering Analysis.
8: Multi-Label Classification.
9: Privacy Preserving in Data Mining.
Emerging Applications.
10: Data Stream.
11: Recommendation Systems.
12: Social Tagging Systems.