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PKDD
2007
Springer
109views Data Mining» more  PKDD 2007»
16 years 1 months ago
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
Abstract. When seeking for small clusters it is very intricate to distinguish between incidental agglomeration of noisy points and true local patterns. We present the PAMALOC algor...
Frank Höppner, Mirko Böttcher
ICSE
1999
IEEE-ACM
15 years 11 months ago
Identifying Objects Using Cluster and Concept Analysis
Many approaches to support (semi-automatic) identification of objects in legacy code take the data structures as starting point for candidate classes. Unfortunately, legacy data ...
Arie van Deursen, Tobias Kuipers
DMIN
2006
120views Data Mining» more  DMIN 2006»
15 years 9 months ago
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
R. Pradeep Kumar, P. Nagabhushan
KDD
2002
ACM
228views Data Mining» more  KDD 2002»
16 years 8 months ago
Mammography Classification By an Association Rule-based Classifier
This paper proposes a new classification method based on association rule mining. This association rule-based classifier is experimented on a real dataset; a database of medical i...
Alexandru Coman, Maria-Luiza Antonie, Osmar R. Za&...
EDBTW
2006
Springer
15 years 11 months ago
Constructing Optimal Wavelet Synopses
The wavelet decomposition is a proven tool for constructing concise synopses of massive data sets and rapid changing data streams, which can be used to obtain fast approximate, wit...
Dimitris Sacharidis