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» Analyzing Harmonic Monitoring Data Using Data Mining
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KDD
2004
ACM
207views Data Mining» more  KDD 2004»
15 years 10 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
14 years 11 months ago
Proximity Tracking on Time-Evolving Bipartite Graphs
Given an author-conference network that evolves over time, which are the conferences that a given author is most closely related with, and how do they change over time? Large time...
Hanghang Tong, Spiros Papadimitriou, Philip S. Yu,...
CIB
2004
57views more  CIB 2004»
14 years 9 months ago
Identifying Global Exceptional Patterns in Multi-database Mining
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Z...
HICSS
2007
IEEE
134views Biometrics» more  HICSS 2007»
15 years 4 months ago
Exploring the Clinical Notes of Pathology Ordering by Australian General Practitioners: a text mining perspective
A massive rise in the number and expenditure of pathology ordering by general practitioners (GPs) concerns the government and attracts various studies with the aim to understand a...
Zoe Yan Zhuang, Rasika Amarasiri, Leonid Churilov,...
EDM
2009
147views Data Mining» more  EDM 2009»
14 years 7 months ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck