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» Query Languages for Knowledge Discovery in Databases
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CINQ
2004
Springer
157views Database» more  CINQ 2004»
15 years 1 months ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut
ICDM
2008
IEEE
138views Data Mining» more  ICDM 2008»
15 years 4 months ago
Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective
INGENS is a prototype of GIS which integrates a geographic knowledge discovery engine to mine several kinds of spatial KDD objects from the topographic maps stored in a spatial da...
Annalisa Appice, Anna Ciampi, Antonietta Lanza, Do...
AAAI
1996
14 years 11 months ago
Discovering Robust Knowledge from Dynamic Closed World Data
Many applications of knowledge discovery require the knowledge to be consistent with data. Examples include discovering rules for query optimization, database integration, decisio...
Chun-Nan Hsu, Craig A. Knoblock
SAC
2005
ACM
15 years 3 months ago
Mining concept associations for knowledge discovery in large textual databases
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...
Xiaowei Xu, Mutlu Mete, Nurcan Yuruk
SEMWEB
2001
Springer
15 years 2 months ago
An RDF Framework for Resource Discovery
Resource discovery is a problem common to almost all distributed systems. Instead of resulting in a one or a small number of discovery mechanisms, completely different and incompa...
Franklin Reynolds