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85
Voted
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
15 years 1 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...
85
Voted
PAKDD
2009
ACM
186views Data Mining» more  PAKDD 2009»
15 years 5 months ago
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles
171
Voted
SIGMOD
2008
ACM
159views Database» more  SIGMOD 2008»
15 years 10 months ago
Web-scale extraction of structured data
A long-standing goal of Web research has been to construct a unified Web knowledge base. Information extraction techniques have shown good results on Web inputs, but even most dom...
Michael J. Cafarella, Jayant Madhavan, Alon Y. Hal...
83
Voted
CAISE
2005
Springer
15 years 3 months ago
A Meta Model for Process Mining Data
Abstract. Modern process-aware information systems store detailed information about processes as they are being executed. This kind of information can be used for very different p...
Boudewijn F. van Dongen, Wil M. P. van der Aalst
81
Voted
ISW
2009
Springer
15 years 4 months ago
F3ildCrypt: End-to-End Protection of Sensitive Information in Web Services
The frequency and severity of a number of recent intrusions involving data theft and leakages has shown that online users’ trust, voluntary or not, in the ability of third partie...
Matthew Burnside, Angelos D. Keromytis