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» Clustering by pattern similarity in large data sets
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COMPGEOM
2008
ACM
13 years 9 months ago
Embedding and similarity search for point sets under translation
Pattern matching in point sets is a well studied problem with numerous applications. We assume that the point sets may contain outliers (missing or spurious points) and are subjec...
Minkyoung Cho, David M. Mount
DIS
2001
Springer
14 years 3 days ago
Dynamic Aggregation to Support Pattern Discovery: A Case Study with Web Logs
Rapid growth of digital data collections is overwhelming the capabilities of humans to comprehend them without aid. The extraction of useful data from large raw data sets is someth...
Lida Tang, Ben Shneiderman
ICDM
2007
IEEE
176views Data Mining» more  ICDM 2007»
13 years 11 months ago
A Compact Representation of Spatio-Temporal Data
As technology advances we encounter more available data on moving objects, which can be mined to our benefit. In order to efficiently mine this large amount of data we propose an ...
Sigal Elnekave, Mark Last, Oded Maimon
SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
13 years 9 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...