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» Algorithms for Finding Gene Clusters
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KDD
2004
ACM
211views Data Mining» more  KDD 2004»
16 years 4 days ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...
73
Voted
ICML
2007
IEEE
16 years 17 days ago
Online discovery of similarity mappings
We consider the problem of choosing, sequentially, a map which assigns elements of a set A to a few elements of a set B. On each round, the algorithm suffers some cost associated ...
Alexander Rakhlin, Jacob Abernethy, Peter L. Bartl...
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 9 days ago
An association analysis approach to biclustering
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...
ATAL
2009
Springer
15 years 6 months ago
Effects of resource and remembering on social networks
To better represent human interactions in social networks, the authors take a network-oriented simulation approach to analyze the evolution of acquaintance networks based on local...
Chung-Yuan Huang, Yu-Shiuan Tsai, Chuen-Tsai Sun
MLDM
2009
Springer
15 years 6 months ago
Regional Pattern Discovery in Geo-referenced Datasets Using PCA
Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...
Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Or...