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KDD
2006
ACM
228views Data Mining» more  KDD 2006»
14 years 10 months ago
Algorithms for time series knowledge mining
Temporal patterns composed of symbolic intervals are commonly formulated with Allen's interval relations originating in temporal reasoning. This representation has severe dis...
Fabian Mörchen
GRC
2008
IEEE
13 years 10 months ago
MovStream: An Efficient Algorithm for Monitoring Clusters Evolving in Data Streams
Monitoring cluster evolution in data streams is a major research topic in data streams mining. Previous clustering methods for evolving data streams focus on global clustering res...
Liang Tang, Chang-jie Tang, Lei Duan, Chuan Li, Ye...
PAKDD
2005
ACM
146views Data Mining» more  PAKDD 2005»
14 years 3 months ago
An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
Abstract. The data stream model of computation is often used for analyzing huge volumes of continuously arriving data. In this paper, we present a novel algorithm called DUCstream ...
Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning ...
KDD
1998
ACM
160views Data Mining» more  KDD 1998»
14 years 2 months ago
Algorithms for Characterization and Trend Detection in Spatial Databases
1 The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
13 years 11 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison