PAKDD
2000
ACM
15 years 25 days ago
2000
ACM
PAKDD
2000
ACM
15 years 25 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
15 years 25 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
15 years 25 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
15 years 25 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
15 years 25 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...
101
click to vote
PAKDD
2000
ACM
15 years 25 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
15 years 25 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 ...
110
click to vote
KDD
2000
ACM
15 years 25 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
15 years 25 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...