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» Intensional Associations in Dataspaces
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VLDB
2004
ACM
121views Database» more  VLDB 2004»
13 years 11 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 9 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
14 years 9 days 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 10 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 10 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, ...