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» Process Mining Techniques: an Application to Stroke Care
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KDD
2012
ACM
242views Data Mining» more  KDD 2012»
11 years 9 months ago
Query-driven discovery of semantically similar substructures in heterogeneous networks
Heterogeneous information networks that contain multiple types of objects and links are ubiquitous in the real world, such as bibliographic networks, cyber-physical networks, and ...
Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han
WSC
1997
13 years 8 months ago
Simulation of the Queston Physician Network
This paper examines the construction and implementation of a simulation model that supports the design and development of the Queston Physician Network. Queston seeks to partner w...
James R. Swisher, J. Brian Jun, Sheldon H. Jacobso...
DAWAK
2005
Springer
14 years 27 days ago
Optimizing a Sequence of Frequent Pattern Queries
Discovery of frequent patterns is a very important data mining problem with numerous applications. Frequent pattern mining is often regarded as advanced querying where a user speci...
Mikolaj Morzy, Marek Wojciechowski, Maciej Zakrzew...
KDD
2009
ACM
174views Data Mining» more  KDD 2009»
14 years 2 months ago
Visual exploration of categorical and mixed data sets
For categorical data there does not exist any similarity measure which is as straight forward and general as the numerical distance between numerical items. Due to this it is ofte...
Sara Johansson
CIKM
2005
Springer
14 years 27 days ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...