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FEGC
2009
86views Biometrics» more  FEGC 2009»
14 years 9 months ago
Binary Sequences and Association Graphs for Fast Detection of Sequential Patterns
We develop an efficient algorithm for detecting frequent patterns that occur in sequence databases under certain constraints. By combining the use of bit vector representations of ...
Selim Mimaroglu, Dan A. Simovici
KDD
1994
ACM
118views Data Mining» more  KDD 1994»
15 years 3 months ago
Discovering Informative Patterns and Data Cleaning
Wepresent a methodfor discovering informative patterns from data. With this method,large databases can be reducedto only a few representative data entries. Ourframeworkencompasses...
Isabelle Guyon, Nada Matic, Vladimir Vapnik
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 8 days ago
Characteristic relational patterns
Research in relational data mining has two major directions: finding global models of a relational database and the discovery of local relational patterns within a database. While...
Arne Koopman, Arno Siebes
CINQ
2004
Springer
157views Database» more  CINQ 2004»
15 years 3 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
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
15 years 1 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