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SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 5 months 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
126
Voted
SCN
2008
Springer
136views Communications» more  SCN 2008»
15 years 2 months ago
An efficient data structure for network anomaly detection
Abstract-- Despite the rapid advance in networking technologies, detection of network anomalies at high-speed switches/routers is still far from maturity. To push the frontier, two...
Jieyan Fan, Dapeng Wu, Kejie Lu, Antonio Nucci
129
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ICDE
2010
IEEE
273views Database» more  ICDE 2010»
16 years 2 months ago
WikiAnalytics: Ad-hoc Querying of Highly Heterogeneous Structured Data
Searching and extracting meaningful information out of highly heterogeneous datasets is a hot topic that received a lot of attention. However, the existing solutions are based on e...
Andrey Balmin, Emiran Curtmola
WEBDB
2010
Springer
168views Database» more  WEBDB 2010»
15 years 7 months ago
WikiAnalytics: Disambiguation of Keyword Search Results on Highly Heterogeneous Structured Data
Wikipedia infoboxes is an example of a seemingly structured, yet extraordinarily heterogeneous dataset, where any given record has only a tiny fraction of all possible fields. Su...
Andrey Balmin, Emiran Curtmola
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
15 years 7 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter