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» Mining evolving data streams for frequent patterns
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PAKDD
2010
ACM
193views Data Mining» more  PAKDD 2010»
14 years 8 months ago
As Time Goes by: Discovering Eras in Evolving Social Networks
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
FIMI
2004
212views Data Mining» more  FIMI 2004»
14 years 11 months ago
A Space Optimization for FP-Growth
Frequency mining problem comprises the core of several data mining algorithms. Among frequent pattern discovery algorithms, FP-GROWTH employs a unique search strategy using compac...
Eray Özkural, Cevdet Aykanat
PAKDD
2010
ACM
189views Data Mining» more  PAKDD 2010»
15 years 2 months ago
Subsequence Matching of Stream Synopses under the Time Warping Distance
In this paper, we propose a method for online subsequence matching between histogram-based stream synopsis structures under the dynamic warping distance. Given a query synopsis pat...
Su-Chen Lin, Mi-Yen Yeh, Ming-Syan Chen
IDEAS
2000
IEEE
90views Database» more  IDEAS 2000»
15 years 2 months ago
StreamJoin: A Generic Database Approach to Support the Class of Stream-Oriented Applications
Today many applications routinely generate large quantities of data. The data often takes the form of (time) series, or more generally streams, i.e. an ordered sequence of records...
Clara Nippl, Ralf Rantzau, Bernhard Mitschang
FQAS
2004
Springer
146views Database» more  FQAS 2004»
15 years 1 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina