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NIPS
2008
15 years 4 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
120
Voted
IAT
2006
IEEE
15 years 9 months ago
A Human-Friendly MAS for Mining Stock Data
Mining stock data can be beneficial to the participants and researchers in the stock market. However, it is very difficult for a normal trader or researcher to apply data mining...
Jiarui Ni, Chengqi Zhang
172
Voted
SIGMOD
1998
ACM
271views Database» more  SIGMOD 1998»
15 years 3 months ago
Towards On-Line Analytical Mining in Large Databases
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
Jiawei Han
119
Voted
KDD
2005
ACM
112views Data Mining» more  KDD 2005»
16 years 3 months ago
Model-based overlapping clustering
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh,...
148
Voted
CSWWS
2006
15 years 7 months ago
A Distributed Agent System upon Semantic Web Technologies to Provide Biological Data
Bioinformaticians are accustomed to going through analysis steps, in which they employ several data sources, like protein sequence and protein interaction databases, to carry out t...
Farzad Kohantorabi, Gregory Butler, Christopher J....