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» Active Mining in a Distributed Setting
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131
Voted
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 3 months ago
Machine learning for online query relaxation
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
Ion Muslea
193
Voted
MSR
2006
ACM
15 years 9 months ago
Predicting defect densities in source code files with decision tree learners
With the advent of open source software repositories the data available for defect prediction in source files increased tremendously. Although traditional statistics turned out t...
Patrick Knab, Martin Pinzger, Abraham Bernstein
152
Voted
CIKM
2005
Springer
15 years 9 months ago
Maximal termsets as a query structuring mechanism
Search engines process queries conjunctively to restrict the size of the answer set. Further, it is not rare to observe a mismatch between the vocabulary used in the text of Web p...
Bruno Pôssas, Nivio Ziviani, Berthier A. Rib...
148
Voted
KDD
2010
ACM
293views Data Mining» more  KDD 2010»
15 years 7 months ago
BioSnowball: automated population of Wikis
Internet users regularly have the need to find biographies and facts of people of interest. Wikipedia has become the first stop for celebrity biographies and facts. However, Wik...
Xiaojiang Liu, Zaiqing Nie, Nenghai Yu, Ji-Rong We...
126
Voted
CIKM
2008
Springer
15 years 5 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan