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SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
13 years 9 months ago
Making k-means Even Faster
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
Greg Hamerly
HIS
2008
13 years 9 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...
IIS
2000
13 years 9 months ago
Applying Data Mining Methods for Cellular Radio Network Planning
: This paper contains description of an knowledge discovery experiment performed in radio planning department of one of Polish celular telecom providers. The results of using vario...
Piotr Gawrysiak, Michal Okoniewski
ATAL
2010
Springer
13 years 8 months ago
Improving DPOP with function filtering
DPOP is an algorithm for distributed constraint optimization which has, as main drawback, the exponential size of some of its messages. Recently, some algorithms for distributed c...
Ismel Brito, Pedro Meseguer
AIR
2006
76views more  AIR 2006»
13 years 7 months ago
Evolved term-weighting schemes in Information Retrieval: an analysis of the solution space
Evolutionary computation techniques are increasingly being applied to problems within Information Retrieval (IR). Genetic programming (GP) has previously been used with some succe...
Ronan Cummins, Colm O'Riordan