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CIKM
2008
Springer
13 years 11 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
LREC
2010
237views Education» more  LREC 2010»
13 years 10 months ago
Flexible Ontology Population from Text: The OwlExporter
Ontology population from text is becoming increasingly important for NLP applications. Ontologies in OWL format provide for a standardized means of modeling, querying, and reasoni...
René Witte, Ninus Khamis, Juergen Rilling
ICWN
2007
13 years 10 months ago
Comparing Agent Paradigms for Resource Management in Sensor Networks
— Management of power and other resources that effect field life is an important consideration in sensor networks. This paper presents and compares alternative agent paradigms ap...
Anish Anthony, Thomas C. Jannett
SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
13 years 10 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
CIKM
2009
Springer
13 years 6 months ago
Diverging patterns: discovering significant frequency change dissimilarities in large databases
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...
Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang