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» Lattice-Structured Domains, Imperfect Data and Inductive Que...
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BALT
2006
13 years 8 months ago
Introducing Softness into Inductive Queries on String Databases
In many application domains (e.g., WWW mining, molecular biology), large string datasets are available and yet under-exploited. The inductive database framework assumes that both s...
Ieva Mitasiunaite, Jean-François Boulicaut
CINQ
2004
Springer
157views Database» more  CINQ 2004»
13 years 8 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
CAISE
2004
Springer
13 years 10 months ago
Data Integration Using ID-Logic
Abstract. ID-Logic is a knowledge representation language that extends first-order logic with non-monotone inductive definitions. This paper introduces an ID-Logic based framewor...
Bert Van Nuffelen, Alvaro Cortés-Calabuig, ...
JASIS
2000
143views more  JASIS 2000»
13 years 4 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
DEBU
2010
205views more  DEBU 2010»
13 years 4 months ago
Spatio-Temporal Stream Processing in Microsoft StreamInsight
Microsoft StreamInsight is a platform for developing and deploying streaming applications. StreamInsight embraces a temporal stream model to unify and further enrich query languag...
Mohamed H. Ali, Badrish Chandramouli, Balan Sethu ...