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» Using Data Mining in MURA Graphic Problems
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138
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KDD
2002
ACM
115views Data Mining» more  KDD 2002»
16 years 4 months ago
Collaborative crawling: mining user experiences for topical resource discovery
The rapid growth of the world wide web had made the problem of topic speci c resource discovery an important one in recent years. In this problem, it is desired to nd web pages wh...
Charu C. Aggarwal
163
Voted
BPM
2009
Springer
161views Business» more  BPM 2009»
15 years 10 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
SSD
2001
Springer
218views Database» more  SSD 2001»
15 years 8 months ago
Efficient Mining of Spatiotemporal Patterns
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
Ilias Tsoukatos, Dimitrios Gunopulos
138
Voted
GFKL
2004
Springer
117views Data Mining» more  GFKL 2004»
15 years 9 months ago
Cluster Ensembles
Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. The R package˜c...
Kurt Hornik
FUIN
2000
109views more  FUIN 2000»
15 years 3 months ago
Building Knowledge Scouts Using KGL Metalanguage
Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
Ryszard S. Michalski, Kenneth A. Kaufman