KDD
2005
ACM
14 years 5 months ago
2005
ACM
Heterogeneous data co-clustering has attracted more and more attention in recent years due to its high impact on various applications. While the co-clustering algorithms for two t...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
The Web has been rapidly "deepened" by myriad searchable databases online, where data are hidden behind query interfaces. As an essential task toward integrating these m...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
KDD
2005
ACM
14 years 5 months ago
2005
ACM
The popularity of email has triggered researchers to look for ways to help users better organize the enormous amount of information stored in their email folders. One challenge th...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
KDD
2005
ACM
14 years 5 months ago
2005
ACM