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» Learning Classifiers from Semantically Heterogeneous Data
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KDD
2009
ACM
266views Data Mining» more  KDD 2009»
14 years 4 months ago
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
Wei Jin, Hung Hay Ho, Rohini K. Srihari
ICDT
2011
ACM
187views Database» more  ICDT 2011»
13 years 1 months ago
The PADS project: an overview
The goal of the PADS project, which started in 2001, is to make it easier for data analysts to extract useful information from ad hoc data files. This paper does not report new r...
Kathleen Fisher, David Walker
WEBI
2010
Springer
13 years 7 months ago
A Scalable Indexing Mechanism for Ontology-Based Information Integration
In recent years, there has been an explosion of publicly available RDF and OWL web pages. Some of these pages are static text files, while others are dynamically generated from la...
Yingjie Li, Abir Qasem, Jeff Heflin
PAMI
2006
147views more  PAMI 2006»
13 years 9 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
ICWE
2005
Springer
14 years 3 months ago
A Model-Driven Approach for Designing Distributed Web Information Systems
There is an apparent need for specifying the integration of multiple knowledge sources during the design of Web Information Systems (WIS) where the actual data is often retrieved f...
Richard Vdovjak, Geert-Jan Houben