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KDD
2006
ACM
109views Data Mining» more  KDD 2006»
14 years 8 months ago
Extracting redundancy-aware top-k patterns
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han
KDD
2005
ACM
194views Data Mining» more  KDD 2005»
14 years 8 months ago
Web object indexing using domain knowledge
Web object is defined to represent any meaningful object embedded in web pages (e.g. images, music) or pointed to by hyperlinks (e.g. downloadable files). Users usually search for...
Muyuan Wang, Zhiwei Li, Lie Lu, Wei-Ying Ma, Naiya...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
SIGMOD
2009
ACM
161views Database» more  SIGMOD 2009»
14 years 8 months ago
Cross-tier, label-based security enforcement for web applications
This paper presents SELinks, a programming language focused on building secure multi-tier web applications. SELinks provides a uniform programming model, in the style of LINQ and ...
Brian J. Corcoran, Nikhil Swamy, Michael W. Hicks
SIGMOD
2008
ACM
101views Database» more  SIGMOD 2008»
14 years 8 months ago
Pay-as-you-go user feedback for dataspace systems
A primary challenge to large-scale data integration is creating semantic equivalences between elements from different data sources that correspond to the same real-world entity or...
Shawn R. Jeffery, Michael J. Franklin, Alon Y. Hal...
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