PAKDD
2001
ACM
14 years 1 months ago
2001
ACM
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...
PAKDD
2001
ACM
14 years 1 months ago
2001
ACM
PAKDD
2001
ACM
14 years 1 months ago
2001
ACM
PAKDD
2001
ACM
14 years 1 months ago
2001
ACM
Information extraction (IE) from semi-structured Web documents is a critical issue for information integration systems on the Internet. Previous work in wrapper induction aim to so...
PAKDD
2001
ACM
14 years 1 months ago
2001
ACM
Inclusion of domain knowledge in a process of knowledge discovery in databases is a complex but very important part of successful knowledge discovery solutions. In real-life data m...
LSO
2001
Springer
14 years 1 months ago
2001
Springer
Knowledge is a vital component for organisational growth and data mining provides the technological basis for automated knowledge elicitation from data sources. The emergence of Ap...
KDD
2001
ACM
14 years 1 months ago
2001
ACM
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
INCDM
2001
Springer
14 years 1 months ago
2001
Springer
: Experience Management (EM) is an area that is increasingly gaining importance. Its roots lie in Experimental Software Engineering ("Experience Factory"), in Artificial ...
DBPL
2001
Springer
14 years 1 months ago
2001
Springer
Abstract. We present a simple Data Mining Logic (DML) that can express common data mining tasks, like “Find Boolean association rules” or “Find inclusion dependencies.” At ...
DAWAK
2001
Springer
14 years 1 months ago
2001
Springer
Data mining has been defined as the non- trivial extraction of implicit, previously unknown and potentially useful information from data. Association mining is one of the important...