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CIKM
2008
Springer
13 years 10 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
ICMLA
2008
13 years 10 months ago
Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
Spam sender detection based on email subject data is a complex large-scale text mining task. The dataset consists of email subject lines and the corresponding IP address of the em...
Yuchun Tang, Yuanchen He, Sven Krasser
BIOCOMP
2006
13 years 9 months ago
Finding Molecular Signature of Prostate Cancer: An Algorithmic Approach
123 African American men in America are 65% more likely to develop prostate cancer and are two to three times more likely to die of the disease than Caucasian men [1]. While resear...
Patrick Bobbie, Renee Reams, Sandra Suther, C. Per...
AI
2000
Springer
13 years 8 months ago
Towards adaptive Web sites: Conceptual framework and case study
The creation of a complex web site is a thorny problem in user interface design. In this paper we explore the notion of adaptive web sites: sites that semi-automatically improve t...
Mike Perkowitz, Oren Etzioni
SAC
2008
ACM
13 years 8 months ago
Efficient concept clustering for ontology learning using an event life cycle on the web
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Sangsoo Sung, Seokkyung Chung, Dennis McLeod