IDA
2009
Springer
13 years 2 months ago
2009
Springer
Abstract. One of the most interesting challenges in Knowledge Discovery in Databases (KDD) eld is giving support to users in the composition of tools for forming a valid and useful...
BMCBI
2008
13 years 4 months ago
2008
Complexity of post-genomic data and multiplicity of mining strategies are two limits to Knowledge Discovery in Databases (KDD) in life sciences. Because they provide a semantic fr...
AAI
2007
13 years 4 months ago
2007
In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately with a single query...
15
Voted
IADIS
2008
13 years 6 months ago
2008
In the last years there has been a huge growth and consolidation of the Data Mining field. Some efforts are being done that seek the establishment of standards in the area. Includ...
DEXAW
2005
IEEE
13 years 6 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...
KDD
1997
ACM
13 years 8 months ago
1997
ACM
KDD (Knowledge Discovery in Databases) processhas become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recentl...
EDBT
2000
ACM
13 years 8 months ago
2000
ACM
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
DAWAK
2004
Springer
13 years 10 months ago
2004
Springer
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does not always convey successfully the inherent information fr...