bookCambridge University Press eBooksMay 12, 2014Closed access

Data Mining and Analysis

Rensselaer Polytechnic Institute · Universidade Federal de Minas Gerais

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Abstract

The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics. The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification. The book lays the basic foundations of these tasks, and also covers cutting-edge topics such as kernel methods,…

Citation impact

573
total citations
FWCI
21.83
Percentile
100%
References
0
Citations per year

Authors

2

Topics & keywords

Keywords
  • Data science
  • Computer science
  • Exploratory data analysis
  • Data stream mining
  • Cluster analysis
  • Data analysis
  • Field (mathematics)
  • Data mining
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