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» Information extraction, data mining and joint inference
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ICDE
2010
IEEE
224views Database» more  ICDE 2010»
15 years 9 months ago
Probabilistic Declarative Information Extraction
Abstract-Unstructured text represents a large fraction of the world's data. It often contain snippets of structured information within them (e.g., people's names and zip ...
Daisy Zhe Wang, Eirinaios Michelakis, Joseph M. He...
ITCC
2005
IEEE
15 years 3 months ago
Elimination of Redundant Information for Web Data Mining
These days, billions of Web pages are created with HTML or other markup languages. They only have a few uniform structures and contain various authoring styles compared to traditi...
Shakirah Mohd Taib, Soon-ja Yeom, Byeong Ho Kang
PAKDD
2010
ACM
167views Data Mining» more  PAKDD 2010»
15 years 1 months ago
Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand
We present a general framework for the task of extracting specific information “on demand” from a large corpus such as the Web under resource-constraints. Given a database wit...
Pallika Kanani, Andrew McCallum, Shaohan Hu
83
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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, ...
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
15 years 2 months ago
Postprocessing Decision Trees to Extract Actionable Knowledge
Most data mining algorithms and tools stop at discovered customer models, producing distribution information on customer profiles. Such techniques, when applied to industrial pro...
Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen