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» Clustering for metric and nonmetric distance measures
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BPM
2006
Springer
166views Business» more  BPM 2006»
13 years 11 months ago
Process Mining by Measuring Process Block Similarity
Mining, discovering, and integrating process-oriented services has attracted growing attention in the recent year. Workflow precedence graph and workflow block structures are two i...
Joonsoo Bae, James Caverlee, Ling Liu, Hua Yan
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 7 months ago
Identifying bridging rules between conceptual clusters
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhan...
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
13 years 11 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
DATAMINE
2006
224views more  DATAMINE 2006»
13 years 7 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
ICASSP
2011
IEEE
12 years 11 months ago
An utterance comparison model for speaker clustering using factor analysis
We propose a novel utterance comparison model based on probability theory and factor analysis that computes the likelihood of two speech utterances originating from the same speak...
Woojay Jeon, Changxue Ma, Dusan Macho