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» Phenomenal Data Mining: From Data to Phenomena
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ICDM
2008
IEEE
193views Data Mining» more  ICDM 2008»
15 years 8 months ago
Multiplicative Mixture Models for Overlapping Clustering
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
Qiang Fu, Arindam Banerjee
134
Voted
ADMA
2008
Springer
151views Data Mining» more  ADMA 2008»
15 years 8 months ago
Link-Contexts for Ranking
Anchor text has been shown to be effective in ranking[6] and a variety of information retrieval tasks on web pages. Some authors have expanded on anchor text by using the words ar...
Jessica Gronski
ICDM
2007
IEEE
119views Data Mining» more  ICDM 2007»
15 years 8 months ago
Reducing UK-Means to K-Means
This paper proposes an optimisation to the UK-means algorithm, which generalises the k-means algorithm to handle objects whose locations are uncertain. The location of each object...
Sau Dan Lee, Ben Kao, Reynold Cheng
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
15 years 8 months ago
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
Abstract. Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult ...
Daniel Meyer-Delius, Christian Plagemann, Georg vo...
PAKDD
2007
ACM
143views Data Mining» more  PAKDD 2007»
15 years 8 months ago
Clustering Ensembles Based on Normalized Edges
The co-association (CA) matrix was previously introduced to combine multiple partitions. In this paper, we analyze the CA matrix, and address its difference from the similarity ma...
Yan Li, Jian Yu, Pengwei Hao, Zhulin Li