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DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
13 years 8 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
CINQ
2004
Springer
151views Database» more  CINQ 2004»
13 years 10 months ago
Query Languages Supporting Descriptive Rule Mining: A Comparative Study
Recently, inductive databases (IDBs) have been proposed to tackle the problem of knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of very diffe...
Marco Botta, Jean-François Boulicaut, Cyril...
SEBD
1997
132views Database» more  SEBD 1997»
13 years 7 months ago
Amore: An Integrated Environment for Database Mining
Abstract. While extensive e orts have been devoted to the development of e cient ad-hoc algorithms for association rules mining, little or no interest has been paid to the integrat...
Elena Baralis, Stefano Ceri, Rosa Meo, Giuseppe Ps...
IDEAS
2000
IEEE
96views Database» more  IDEAS 2000»
13 years 10 months ago
A Cost Function for Uniformly Partitioned UB-Trees
Most operations of the relational algebra or SQL - like projection with duplicate elimination, join, ordering, group by and aggregations - are efficiently processed using a sorted...
Volker Markl, Rudolf Bayer
DKE
2006
118views more  DKE 2006»
13 years 6 months ago
KDDML: A middleware language and system for knowledge discovery in databases
KDDML (KDD Markup Language) is a middleware language and system designed to support the development of final applications or higher level systems which deploy a mixture of data acc...
Andrea Romei, Salvatore Ruggieri, Franco Turini