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» Identifying Clusters from Positive Data
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ICIP
1997
IEEE
15 years 21 days ago
Surrounding Region Dependence Method for Detection of Clustered Microcalcifications on Mammograms
Clustered microcalcifications on X-ray mammograms are an important feature in the detection of breast cancer. For the detection of the clustered microcalcifications on digitized m...
Jong-Kook Kim, Hyun Wook Park
BMCBI
2005
169views more  BMCBI 2005»
13 years 11 months ago
Genetic interaction motif finding by expectation maximization - a novel statistical model for inferring gene modules from synthe
Background: Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability of membership...
Yan Qi 0003, Ping Ye, Joel S. Bader
ICDE
2009
IEEE
143views Database» more  ICDE 2009»
15 years 27 days ago
Fa: A System for Automating Failure Diagnosis
Abstract-Failures of Internet services and enterprise systems lead to user dissatisfaction and considerable loss of revenue. Since manual diagnosis is often laborious and slow, the...
Songyun Duan, Shivnath Babu, Kamesh Munagala
IDEAL
2010
Springer
13 years 9 months ago
An Efficient Approach to Clustering Real-Estate Listings
World Wide Web (WWW) is a vast source of information, the problem of information overload is more acute than ever. Due to noise in WWW, it is becoming hard to find usable informati...
Maciej Grzenda, Deepak Thukral
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 11 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...