PAKDD
2000
ACM
14 years 5 days ago
2000
ACM
PAKDD
2000
ACM
14 years 5 days ago
2000
ACM
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
PAKDD
2000
ACM
14 years 5 days ago
2000
ACM
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
PAKDD
2000
ACM
14 years 5 days ago
2000
ACM
Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
PAKDD
2000
ACM
14 years 5 days ago
2000
ACM
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
PAKDD
2000
ACM
14 years 5 days ago
2000
ACM
This paper addresses personal E-mail filtering by casting it in the framework of text classification. Modeled as semi-structured documents, Email messages consist of a set of field...
PAKDD
2000
ACM
14 years 5 days ago
2000
ACM
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
PADL
2000
Springer
14 years 5 days ago
2000
Springer
The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationally-intensive subproblem of data mining involves ...
KDD
2000
ACM
14 years 5 days ago
2000
ACM
The traditional association rule mining framework produces many redundant rules. The extent of redundancy is a lot larger than previously suspected. We present a new framework for...
KDD
2000
ACM
14 years 5 days ago
2000
ACM
Periodicy detection in time series data is a challenging problem of great importance in many applications. Most previous work focused on mining synchronous periodic patterns and d...