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» Automated Extraction of Problem Structure
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SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
14 years 6 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
CEAS
2005
Springer
14 years 2 months ago
Email Task Management: An Iterative Relational Learning Approach
Today’s email clients were designed for yesterday’s email. Originally, email was merely a communication medium. Today, people engage in a variety of complex behaviours using e...
Rinat Khoussainov, Nicholas Kushmerick
PKDD
2005
Springer
125views Data Mining» more  PKDD 2005»
14 years 2 months ago
A Propositional Approach to Textual Case Indexing
Abstract. Problem solving with experiences that are recorded in text form requires a mapping from text to structured cases, so that case comparison can provide informed feedback fo...
Nirmalie Wiratunga, Robert Lothian, Sutanu Chakrab...
IPAS
2008
13 years 11 months ago
Automatic determination of runway edges in poor visibility conditions
The automatic detection of runway hazards from a moving platform under poor visibility conditions is a multifaceted problem. The general approach that we use relies on looking at ...
Sri Satya Vardhan Gogineni, Zia-ur Rahman
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...