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» Word Importance Discrimination Using Context Information
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DAC
2007
ACM
16 years 5 months ago
Trusted Hardware: Can It Be Trustworthy?
Processing and storage of confidential or critical information is an every day occurrence in computing systems. The trustworthiness of computing devices has become an important co...
Cynthia E. Irvine, Karl N. Levitt
CIKM
2008
Springer
15 years 6 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
184
Voted
DEXA
2009
Springer
176views Database» more  DEXA 2009»
15 years 1 months ago
Analyzing Document Retrievability in Patent Retrieval Settings
Most information retrieval settings, such as web search, are typically precision-oriented, i.e. they focus on retrieving a small number of highly relevant documents. However, in sp...
Shariq Bashir, Andreas Rauber
CONTEXT
2007
Springer
15 years 10 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White
KES
2007
Springer
15 years 4 months ago
KeyGraph-based chance discovery for mobile contents management system
Chance discovery provides a way to find rare but very important events for future decision making. It can be applied to stock market prediction, earthquake alarm, intrusion detect...
Kyung-Joong Kim, Myung-Chul Jung, Sung-Bae Cho