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KDD
2005
ACM
124views Data Mining» more  KDD 2005»
14 years 8 months ago
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets
We present a novel algorithm called Clicks, that finds clusters in categorical datasets based on a search for k-partite maximal cliques. Unlike previous methods, Clicks mines subs...
Mohammed Javeed Zaki, Markus Peters, Ira Assent, T...
PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao
PKDD
1999
Springer
272views Data Mining» more  PKDD 1999»
13 years 12 months ago
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation
Abstract. In many applications of data mining a - sometimes considerable - part of the data values is missing. This may occur because the data values were simply never entered into...
A. J. Feelders
TSE
2008
148views more  TSE 2008»
13 years 7 months ago
Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings
Software defect prediction strives to improve software quality and testing efficiency by constructing predictive classification models from code attributes to enable a timely ident...
Stefan Lessmann, Bart Baesens, Christophe Mues, Sw...
HIPC
1999
Springer
13 years 12 months ago
High Performance Data Mining
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
Vipin Kumar, Jaideep Srivastava