KDD
2005
ACM
14 years 9 months ago
2005
ACM
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Regardless of the frequent patterns to discover, either the full frequent patterns or the condensed ones, either closed or maximal, the strategy always includes the traversal of t...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
KDD
2005
ACM
14 years 9 months ago
2005
ACM
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
We address privacy-preserving classification problem in a distributed system. Randomization has been the approach proposed to preserve privacy in such scenario. However, this appr...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
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...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...