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BDA
2001
15 years 5 months ago
Query-Driven Knowledge Discovery via OLAP manipulations
We study KDD (Knowledge Discovery in Databases) processes on OLAP (multidimensional and multilevel) data from a query point of view. Focusing on association rule mining, we consid...
Jean-François Boulicaut, Patrick Marcel, Ch...
FLAIRS
2000
15 years 5 months ago
Structural Knowledge Discovery Used to Analyze Earthquake Activity
The Subdue structural discovery system is being used as the Data Mining tool to study the "Orizaba Fault" located in Mexico, as part of a research project of the geologi...
Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Co...
KDD
2006
ACM
222views Data Mining» more  KDD 2006»
16 years 4 months ago
A component-based framework for knowledge discovery in bioinformatics
Motivation: In the field of bioinformatics there is an emerging need to integrate all knowledge discovery steps into a standardized modular framework. Indeed, component-based deve...
Julien Etienne, Bernd Wachmann, Lei Zhang
148
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BMCBI
2006
174views more  BMCBI 2006»
15 years 4 months ago
Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...
DKE
2006
118views more  DKE 2006»
15 years 4 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