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SSDBM
2008
IEEE
107views Database» more  SSDBM 2008»
16 years 23 days ago
ProUD: Probabilistic Ranking in Uncertain Databases
There are a lot of application domains, e.g. sensor databases, traffic management or recognition systems, where objects have to be compared based on vague and uncertain data. Feat...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
ICDM
2007
IEEE
182views Data Mining» more  ICDM 2007»
16 years 21 days ago
Co-ranking Authors and Documents in a Heterogeneous Network
The problem of evaluating scientific publications and their authors is important, and as such has attracted increasing attention. Recent graph-theoretic ranking approaches have d...
Ding Zhou, Sergey A. Orshanskiy, Hongyuan Zha, C. ...
HICSS
2006
IEEE
99views Biometrics» more  HICSS 2006»
16 years 13 days ago
A Framework for Automatic Online Personalization
Inexpensive data collection and storage technologies and a global thirst for information have led to data repositories so large that users may become disoriented and unable to loc...
Paul Ralph, Jeff Parsons
ICPR
2006
IEEE
16 years 12 days ago
Fast Feature Extraction Approach for Multi-Dimension Feature Space Problems
Recently, we proposed a fast feature extraction approach denoted FSOM utilizes Self Organizing Map (SOM). FSOM [1] overcomes the slowness of traditional SOM search algorithm. We i...
Alaa El. Sagheer, Naoyuki Tsuruta, Rin-ichiro Tani...
CIARP
2005
Springer
15 years 12 months ago
Dynamic Hierarchical Compact Clustering Algorithm
Abstract. In this paper we introduce a general framework for hierarchical clustering that deals with both static and dynamic data sets. From this framework, different hierarchical...
Reynaldo Gil-García, José Manuel Bad...