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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

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AI winterAleksandar LazarevicArtificial intelligence (video games)Behavior informatics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Capture, recognition, and visualization of human semantic interactions in meetings
Human interaction is one of the most important characteristics of group social dynamics in meetings. In this paper, we propose an… 
Highly Cited
2009
Highly Cited
2009
QoS Based Power Aware Routing in MANETs
—In this paper, QoS based power aware routing protocol (Q-PAR) is proposed and evaluated that selects an energy stable QoS… 
Highly Cited
2008
Highly Cited
2008
KYOTO: a System for Mining, Structuring and Distributing Knowledge across Languages and Cultures
We outline work performed within the framework of a current EC project. The goal is to construct a language-independent… 
2008
2008
Natural Language and Information Systems, 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, London, UK, June 24-27, 2008, Proceedings
2008
2008
Extracting and Annotating Wikipedia Sub-Domains — Towards a New eScience Community Resource
We suggest a simple procedure for the extraction of Wikipedia sub-domains, propose a plain-text (human and machine readable… 
2008
2008
MICAI 2008: Advances in Artificial Intelligence, 7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27-31, 2008, Proceedings
Domain experts should provide relevant domain knowledge to an Intelligent Tutoring System (ITS) so that it can guide a learner… 
2007
2007
Diffusion Maps and Geometric Harmonics for Automatic Target Recognition (ATR). Volume 2. Appendices
Abstract : Geometric harmonics provides a framework for taking data in high-dimensional measurement spaces and embedding them in… 
Highly Cited
2006
Highly Cited
2006
Granular SVM with Repetitive Undersampling for Highly Imbalanced Protein Homology Prediction
Highly imbalanced classification is important and increasingly common with emergence of new machine learning application domains… 
Highly Cited
2005
Highly Cited
2005
U*F clustering: a new performant "cluster-mining" method based on segmentation of Self-Organizing Maps
In this paper, we propose a new clustering method consisting in automated “flood- fill segmentation” of the U*-matrix of a Self… 
1999
1999
Automatic labeling of self-organizing maps for information retrieval
  • D. MerklA. Rauber
  • ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th…
  • 1999
  • Corpus ID: 15218899
The self-organizing map is a very popular unsupervised neural network model for the analysis of high-dimensional input data as in… 
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