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SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 19 days ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
VLDB
2006
ACM
190views Database» more  VLDB 2006»
15 years 10 months ago
Online summarization of dynamic time series data
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
SIGKDD
2008
149views more  SIGKDD 2008»
14 years 9 months ago
Knowledge discovery from sensor data (SensorKDD)
Wide-area sensor infrastructures, remote sensors, RFIDs, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. As such sen...
Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gam...
CIKM
2009
Springer
15 years 1 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
PAMI
2002
135views more  PAMI 2002»
14 years 9 months ago
Density-Based Multiscale Data Condensation
Pabitra Mitra, C. A. Murthy, Sankar K. Pal