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CINQ
2004
Springer
157views Database» more  CINQ 2004»
14 years 12 days 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
DASFAA
2005
IEEE
171views Database» more  DASFAA 2005»
14 years 2 months ago
Mining Succinct Systems of Minimal Generators of Formal Concepts
Formal concept analysis has become an active field of study for data analysis and knowledge discovery. A formal concept C is determined by its extent (the set of objects that fall...
Guozhu Dong, Chunyu Jiang, Jian Pei, Jinyan Li, Li...
IDA
2008
Springer
13 years 8 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
SIGMOD
1990
ACM
76views Database» more  SIGMOD 1990»
14 years 21 days ago
Querying Database Knowledge
The role of database knowledge 1susually limited to the evaluation of data queries In this paper we argue that when this knowledge 1sof substantial volume and complexity, there 1s...
Amihai Motro, Qiuhui Yuan
IFIP
1992
Springer
14 years 22 days ago
Intelligent Access to Data and Knowledge Bases via User's Topics of Interest
Retrieving relevant information in Data and Knowledge Bases containing a large number of di erent types of information is a non trivial problem. That is the reason why, in areas l...
Sylvie Cazalens, Robert Demolombe