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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 10 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 10 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
14 years 10 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
CHI
2007
ACM
14 years 10 months ago
Work-centered design: a case study of a mixed-initiative scheduler
We present the case study of a complex, mixed-initiative scheduling system to illustrate Work-Centered Design (WCD), a new approach for the design of information systems. WCD is b...
Keith A. Butler, Jiajie Zhang, Chris Esposito, Ali...
POPL
2008
ACM
14 years 10 months ago
Generating precise and concise procedure summaries
We present a framework for generating procedure summaries that are precise -- applying the summary in a given context yields the same result as re-analyzing the procedure in that ...
Greta Yorsh, Eran Yahav, Satish Chandra