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» Intensional Associations in Dataspaces
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VLDB
2004
ACM
121views Database» more  VLDB 2004»
13 years 10 months ago
An Automatic Data Grabber for Large Web Sites
We demonstrate a system to automatically grab data from data intensive web sites. The system first infers a model that describes at the intensional level the web site as a collec...
Valter Crescenzi, Giansalvatore Mecca, Paolo Meria...
HLPPP
1991
13 years 8 months ago
Reasoning About Synchronic Groups
Swarm is a computational model which extends the UNITY model in three important ways: (1) UNITY’s fixed set of variables is replaced by an unbounded set of tuples which are add...
Gruia-Catalin Roman, H. Conrad Cunningham
SEMWEB
2009
Springer
13 years 11 months ago
Mapping-chains for Studying Concept Shift in Political Ontologies
Abstract. For some years now ontologies have been used in Social Science, e.g. , in annotation of newspaper articles for disambiguating concepts within Media Analysis. These ontolo...
Shenghui Wang, Stefan Schlobach, Janet Takens, Wou...
DAWAK
1999
Springer
13 years 9 months ago
Modeling KDD Processes within the Inductive Database Framework
One of the most challenging problems in data manipulation in the future is to be able to e ciently handle very large databases but also multiple induced properties or generalizatio...
Jean-François Boulicaut, Mika Klemettinen, ...
PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
13 years 9 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...