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ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
This paper presents a recommendation algorithm that performs a query dependent random walk on a k-partite graph constructed from the various features relevant to the recommendatio...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...