SIGKDD
2002
13 years 11 months ago
2002
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...
DEXAW
2005
IEEE
14 years 1 months ago
2005
IEEE
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...
BALT
2006
14 years 3 months ago
2006
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...
CINQ
2004
Springer
14 years 3 months ago
2004
Springer
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...
PKDD
1998
Springer
14 years 3 months ago
1998
Springer
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...
DAWAK
2004
Springer
14 years 4 months ago
2004
Springer
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...