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» Cognitive Context and Arguments from Ontologies for Learning
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ICDM
2002
IEEE
138views Data Mining» more  ICDM 2002»
15 years 2 months ago
Extraction Techniques for Mining Services from Web Sources
The Web has established itself as the dominant medium for doing electronic commerce. Consequently the number of service providers, both large and small, advertising their services...
Hasan Davulcu, Saikat Mukherjee, I. V. Ramakrishna...
80
Voted
ECML
2007
Springer
15 years 3 months ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
SPIESR
2001
160views Database» more  SPIESR 2001»
14 years 11 months ago
New frontiers for intelligent content-based retrieval
In this paper, we examine emerging frontiers in the evolution of content-based retrieval systems that rely on an intelligent infrastructure. Here, we refer to intelligence as the ...
Ana B. Benitez, John R. Smith
74
Voted
DSS
2008
102views more  DSS 2008»
14 years 9 months ago
Diagnosing decision quality
Human decision making is error-prone and often subject to biases. Important information cues are misweighted and feedback delays hamper learning. Experimentally, task information ...
Michael J. Davern, Ravi Mantena, Edward A. Stohr
88
Voted
ALS
2003
Springer
15 years 2 months ago
Not Everything We Know We Learned
This is foremost a methodological contribution. It focuses on the foundation of anticipation and the pertinent implications that anticipation has on learning (theory and experiment...
Mihai Nadin