It is widely agreed that complex diseases are typically caused by the joint effects of multiple instead of a single genetic variation. These genetic variations may show very little...
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Data integration has been a long standing challenge to the database and data mining communities. This need has become critical in numerous contexts, including building e-commerce ...
Sourav S. Bhowmick, Le Gruenwald, Mizuho Iwaihara,...
This paper describes the application of online analytical processing (OLAP) in the field of data mining. We discuss knowledge discovery in enterprise databases as well as data war...
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...