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» Extracting Partition Statistics from Semistructured Data
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INFFUS
2008
97views more  INFFUS 2008»
13 years 10 months ago
Using classifier ensembles to label spatially disjoint data
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
WWW
2009
ACM
14 years 10 months ago
Incorporating site-level knowledge to extract structured data from web forums
Web forums have become an important data resource for many web applications, but extracting structured data from unstructured web forum pages is still a challenging task due to bo...
Jiang-Ming Yang, Rui Cai, Yida Wang, Jun Zhu, Lei ...
LREC
2010
190views Education» more  LREC 2010»
13 years 11 months ago
Semi-Automatic Domain Ontology Creation from Text Resources
Analysts in various domains, especially intelligence and financial, have to constantly extract useful knowledge from large amounts of unstructured or semi-structured data. Keyword...
Mithun Balakrishna, Dan I. Moldovan, Marta Tatu, M...
KDD
2007
ACM
143views Data Mining» more  KDD 2007»
14 years 10 months ago
Mining Research Communities in Bibliographical Data
Abstract. Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden informa...
Osmar R. Zaïane, Jiyang Chen, Randy Goebel
ESCIENCE
2006
IEEE
14 years 1 months ago
ODIN: A Model for Adapting and Enriching Legacy Infrastructure
The Online Database of Interlinear Text (ODIN)1 is a database of interlinear text "snippets", harvested mostly from scholarly documents posted to the Web. Although large...
William D. Lewis