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» Discovering Robust Knowledge from Databases that Change
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ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
14 years 2 months ago
Mining Temporal Patterns with Quantitative Intervals
In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated da...
Thomas Guyet, Rene Quiniou
SEBD
2004
143views Database» more  SEBD 2004»
13 years 9 months ago
The coDB Robust Peer-to-Peer Database System
In this paper we give an overview of the coDB semantically well-founded P2P DB system. A network of databases, possibly with different schemas, are interconnected by means of GLAV ...
Enrico Franconi, Gabriel M. Kuper, Andrei Lopatenk...
FSKD
2005
Springer
90views Fuzzy Logic» more  FSKD 2005»
14 years 1 months ago
Direct Candidates Generation: A Novel Algorithm for Discovering Complete Share-Frequent Itemsets
The value of the itemset share is one way of evaluating the magnitude of an itemset. From business perspective, itemset share values reflect more the significance of itemsets for m...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
14 years 9 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
PR
2002
202views more  PR 2002»
13 years 7 months ago
3D C-string: a new spatio-temporal knowledge representation for video database systems
In video database systems, one of the most important methods for discriminating the videos is by using the objects and the perception of spatial and temporal relations that exist ...
Anthony J. T. Lee, Han-Pang Chiu, Ping Yu