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» Extracting Web Data Using Instance-Based Learning
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IJMSO
2006
105views more  IJMSO 2006»
13 years 10 months ago
Trust network-based filtering of aggregated claims
: On the semantic web, assertions may be aggregated from many sources, those aggregations filtered, reasoned over, aggregated with other aggregators, displayed, scraped, extracted,...
Jennifer Golbeck, Bijan Parsia
PVLDB
2008
141views more  PVLDB 2008»
13 years 9 months ago
WebTables: exploring the power of tables on the web
The World-Wide Web consists of a huge number of unstructured documents, but it also contains structured data in the form of HTML tables. We extracted 14.1 billion HTML tables from...
Michael J. Cafarella, Alon Y. Halevy, Daisy Zhe Wa...
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 5 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
DEXA
2009
Springer
188views Database» more  DEXA 2009»
14 years 2 months ago
On-the-Fly Integration and Ad Hoc Querying of Life Sciences Databases Using LifeDB
Data intensive applications in Life Sciences extensively use the Hidden Web as a platform for information sharing. Access to these heterogeneous Hidden Web resources is limited thr...
Anupam Bhattacharjee, Aminul Islam, Mohammad Shafk...
ICML
1999
IEEE
14 years 11 months ago
Abstracting from Robot Sensor Data using Hidden Markov Models
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
Laura Firoiu, Paul R. Cohen