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ISCI
2008
166views more  ISCI 2008»
15 years 4 months ago
A discretization algorithm based on Class-Attribute Contingency Coefficient
Discretization algorithms have played an important role in data mining and knowledge discovery. They not only produce a concise summarization of continuous attributes to help the ...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 9 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
ICDM
2009
IEEE
207views Data Mining» more  ICDM 2009»
15 years 2 months ago
Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
PKDD
2007
Springer
107views Data Mining» more  PKDD 2007»
15 years 10 months ago
An Empirical Comparison of Exact Nearest Neighbour Algorithms
Nearest neighbour search (NNS) is an old problem that is of practical importance in a number of fields. It involves finding, for a given point q, called the query, one or more po...
Ashraf M. Kibriya, Eibe Frank
ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
15 years 2 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...