BMCBI
2008
13 years 5 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...
GRC
2008
IEEE
13 years 5 months ago
2008
IEEE
Knowledge in knowledge bases have two categories: complete and incomplete. In this paper, through uniformly expressing these two kinds of knowledge, we first address four operator...
AAAI
1996
13 years 6 months ago
1996
Many applications of knowledge discovery require the knowledge to be consistent with data. Examples include discovering rules for query optimization, database integration, decisio...
PAKM
2000
13 years 6 months ago
2000
In this paper we introduce our departments organizational and technical infrastructure for knowledge-intensive and weak-structured processes: A framework for Knowledge Management ...
PAKM
1998
13 years 6 months ago
1998
Knowledge Discovery in Databases (KDD), also known as data mining, focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns wi...
IADIS
2003
13 years 6 months ago
2003
This paper stresses the contribution of the process of knowledge discovery in databases for the effective creation and sharing of organizational knowledge. The focus on the proces...
PDCN
2004
13 years 6 months ago
2004
The Grid is the computing and data management infrastructure, which is transforming science, business, health and society. This paper deals with a challenging task addressing know...
FLAIRS
2001
13 years 6 months ago
2001
We present a novel approach to describe the knowledge discovery process, focusing on a generalized form of attribute called view. It is observed that the process of knowledge disc...
CLA
2006
13 years 6 months ago
2006
In this paper, we present research trends carried out in the Orpailleur team at loria, showing how knowledge discovery and knowledge processing may be combined. The knowledge disco...
AUSDM
2008
Springer
13 years 7 months ago
2008
Springer
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...