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» Data mining for activity extraction in video data
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AICCSA
2008
IEEE
292views Hardware» more  AICCSA 2008»
14 years 3 months ago
Enumeration of maximal clique for mining spatial co-location patterns
This paper presents a systematic approach to mine colocation patterns in Sloan Digital Sky Survey (SDSS) data. SDSS Data Release 5 (DR5) contains 3.6 TB of data. Availability of s...
Ghazi Al-Naymat
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 9 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
INCDM
2010
Springer
204views Data Mining» more  INCDM 2010»
14 years 7 days ago
Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways
Hospitals increasingly use process models for structuring their care processes. Activities performed to patients are logged to a database but these data are rarely used for managin...
Jonas Poelmans, Guido Dedene, Gerda Verheyden, Her...
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
14 years 3 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard
CIVR
2009
Springer
169views Image Analysis» more  CIVR 2009»
14 years 3 months ago
Exploiting contextual data for event retrieval in surveillance video
Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detect...
Philip Kelly, Ciarán O. Conaire, Noel E. O'...