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» Sequential Change Detection on Data Streams
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ICTAI
2007
IEEE
14 years 2 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
ICDE
2007
IEEE
127views Database» more  ICDE 2007»
14 years 9 months ago
Supporting Streaming Updates in an Active Data Warehouse
Active Data Warehousing has emerged as an alternative to conventional warehousing practices in order to meet the high demand of applications for up-to-date information. In a nutsh...
Neoklis Polyzotis, Spiros Skiadopoulos, Panos Vass...
WWW
2009
ACM
14 years 2 months ago
A general framework for adaptive and online detection of web attacks
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
Wei Wang 0012, Florent Masseglia, Thomas Guyet, Re...
PDP
2008
IEEE
14 years 2 months ago
Distributed Sparse Spatial Selection Indexes
Searching for similar objects in metric-space databases can be efficiently solved by using index data structures. A number of alternative sequential indexes have been proposed in...
Veronica Gil Costa, Mauricio Marín
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 8 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu