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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 6 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»
16 years 6 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
16 years 6 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
16 years 6 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
POPL
2007
ACM
16 years 6 months ago
Preferential path profiling: compactly numbering interesting paths
Path profiles provide a more accurate characterization of a program's dynamic behavior than basic block or edge profiles, but are relatively more expensive to collect. This h...
Kapil Vaswani, Aditya V. Nori, Trishul M. Chilimbi