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» On the Generation of Spatiotemporal Datasets
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KDD
2003
ACM
191views Data Mining» more  KDD 2003»
15 years 11 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
15 years 11 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
15 years 11 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
SIGMOD
2009
ACM
220views Database» more  SIGMOD 2009»
15 years 11 months ago
Keyword search in databases: the power of RDBMS
Keyword search in relational databases (RDBs) has been extensively studied recently. A keyword search (or a keyword query) in RDBs is specified by a set of keywords to explore the...
Lu Qin, Jeffrey Xu Yu, Lijun Chang
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
15 years 11 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...