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Data mining

Known as: Pattern Mining, Information mining, Knowledge discovering in databases 
Data mining is an interdisciplinary subfield of computer science. It is the computational process of discovering patterns in large data sets… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of… 
Highly Cited
2015
Highly Cited
2015
Recent interest in data collection and monitoring using data mining for security and business-related applications has raised… 
Review
2009
Review
2009
More than twelve years have elapsed since the first public release of WEKA. In that time, the software has been rewritten… 
Review
2008
Review
2008
This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and… 
Review
2007
Review
2007
This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in… 
Review
2006
Review
2006
  • P. Berkhin
  • 2006
  • Corpus ID: 220665
Clustering is the division of data into groups of similar objects. In clustering, some details are disregarded in exchange for… 
Review
2004
Review
2004
In the words of the authors, the goal of this book was to “bring together many of the important new ideas in learning, and… 
Highly Cited
2001
Highly Cited
2001
by E.T. Jaynes CAMBRIDGE, CAMBRIDGE UNIVERSITY PRESS, 2003 727pp. $65.00 HARDBACK ISBN 0-521-59271-2 The Fundamentals of Risk… 
Highly Cited
2000
Highly Cited
2000
The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in… 
Review
1999
Review
1999
Data Preparation for Data Mining addresses an issue unfortunately ignored by most authorities on data mining: data preparation…