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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 7 days 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
80views Data Mining» more  KDD 2005»
16 years 7 days ago
Wavelet synopsis for data streams: minimizing non-euclidean error
We consider the wavelet synopsis construction problem for data streams where given n numbers we wish to estimate the data by constructing a synopsis, whose size, say B is much sma...
Sudipto Guha, Boulos Harb
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
16 years 7 days ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang
CHI
2006
ACM
16 years 7 days ago
Being watched or being special: how I learned to stop worrying and love being monitored, surveilled, and assessed
This paper explores the relationship between display of feedback (public vs. private) by a computer system and the basis for evaluation (present vs. absent) of that feedback. We e...
Erica Robles, Abhay Sukumaran, Kathryn Rickertsen,...
POPL
2008
ACM
16 years 4 days ago
Relevance heuristics for program analysis
Relevance heuristics allow us to tailor a program analysis to a particular property to be verified. This in turn makes it possible to improve the precision of the analysis where n...
Kenneth L. McMillan