25 search results - page 2 / 5 » ScalParC: A New Scalable and Efficient Parallel Classificati... |
DPD
2002
13 years 5 months ago
2002
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
IPPS
2006
IEEE
13 years 11 months ago
2006
IEEE
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
KDD
1998
ACM
13 years 10 months ago
1998
ACM
For a wide variety of classification algorithms, scalability to large databases can be achieved by observing that most algorithms are driven by a set of sufficient statistics that...
IFIP12
2008
13 years 7 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
DMKD
1997
ACM
13 years 10 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...