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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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Related topics

Related topics

50 relations
AI winterAleksandar LazarevicArtificial intelligence (video games)Behavior informatics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Big Data Analysis and Mining
  • C. Leung
  • Advances in Computer and Electrical Engineering
  • 2019
  • Corpus ID: 65164526
Big data analysis and mining aims to discover implicit, previously unknown, and potentially useful information and knowledge from… 
Highly Cited
2017
Highly Cited
2017
Heart disease diagnosis using data mining technique
  • Sarath Babu
  • International conference of Electronics…
  • 2017
  • Corpus ID: 24231315
Data mining is an advanced technology, which is the process of discovering actionable information from large set of data, which… 
Highly Cited
2008
Highly Cited
2008
An evolutionary‐based data mining technique for assessment of civil engineering systems
Purpose – Analysis of many civil engineering phenomena is a complex problem due to the participation of a large number of factors… 
Highly Cited
2006
Highly Cited
2006
QRP05-4: Internet Traffic Identification using Machine Learning
We apply an unsupervised machine learning approach for Internet traffic identification and compare the results with that of a… 
Highly Cited
2006
Highly Cited
2006
Ontology based text indexing and querying for the semantic web
Highly Cited
2004
Highly Cited
2004
An intelligent recommender system using sequential Web access patterns
To provide intelligent personalized online services such as Web recommendations, it is usually necessary to model users' Web… 
Highly Cited
2003
Highly Cited
2003
Principles of Data Mining
This small chapter gives a brief introduction to generalized linear models and nonlinear models. The author considers generalized… 
Highly Cited
2000
Highly Cited
2000
Active Support Vector Machine Classification
An active set strategy is applied to the dual of a simple reformulation of the standard quadratic program of a linear support… 
Highly Cited
1996
Highly Cited
1996
Managing Complexity in Large Data Bases Using Self-Organizing Maps
Highly Cited
1986
Highly Cited
1986
Economic Incentives for Countertrade
This paper examines countertrade using standard economic theory. We show that in many circumstances countertrade is a rational… 
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