Sciweavers

SIGKDD
2002
93views more  SIGKDD 2002»
13 years 5 months ago
A Perspective on Inductive Databases
Inductive databases tightly integrate databases with data mining. The key ideas are that data and patterns (or models) are handled in the same way and that an inductive query lang...
Luc De Raedt
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
13 years 7 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo
BALT
2006
13 years 9 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 9 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
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, ...
DAWAK
2004
Springer
13 years 10 months ago
Inductive Databases as Ranking
Abstract. Most of the research in data mining has been focused on developing novel algorithms for specific data mining tasks. However, finding the theoretical foundations of data...
Taneli Mielikäinen