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INCDM
2010
Springer
204views Data Mining» more  INCDM 2010»
15 years 7 months 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...
132
Voted
WWW
2009
ACM
16 years 4 months ago
Discovering users' specific geo intention in web search
Discovering users' specific and implicit geographic intention in web search can greatly help satisfy users' information needs. We build a geo intent analysis system that...
Xing Yi, Hema Raghavan, Chris Leggetter
ICDE
2012
IEEE
291views Database» more  ICDE 2012»
14 years 3 months ago
Efficiently Monitoring Top-k Pairs over Sliding Windows
Top-k pairs queries have received significant attention by the research community. k-closest pairs queries, k-furthest pairs queries and their variants are among the most well stu...
Zhitao Shen, Muhammad Aamir Cheema, Xuemin Lin, We...
SISAP
2008
IEEE
147views Data Mining» more  SISAP 2008»
15 years 10 months ago
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
Similarity search has been proved suitable for searching in very large collections of unstructured data objects. We are interested in efficient parallel query processing under si...
Veronica Gil Costa, Mauricio Marín, Nora Re...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh