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» Automatic Detection of Structural Changes in Data Warehouses
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HICSS
2002
IEEE
143views Biometrics» more  HICSS 2002»
14 years 18 days ago
Business Intelligence in Healthcare Organizations
The management of healthcare organizations starts to recognize the relevance of the definition of care products in relation to management information. In the turmoil between costs...
Ton A. M. Spil, Robert A. Stegwee, Christian J. A....
HT
2003
ACM
14 years 27 days ago
The connectivity sonar: detecting site functionality by structural patterns
Web sites today serve many different functions, such as corporate sites, search engines, e-stores, and so forth. As sites are created for different purposes, their structure and...
Einat Amitay, David Carmel, Adam Darlow, Ronny Lem...
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
14 years 2 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer
CIVR
2009
Springer
141views Image Analysis» more  CIVR 2009»
13 years 11 months ago
Automatic retrieval of visual continuity errors in movies
Continuity errors occur in many movies and television series, in spite of careful checking by those employed to minimise them. In this work we develop a scheme for automatically d...
Lyndsey C. Pickup, Andrew Zisserman
IJCAI
2007
13 years 9 months ago
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization
Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qia...