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» Unsupervised Clustering In Streaming Data
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EVOW
2006
Springer
15 years 1 months ago
Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology
Abstract. The increased availability of biological databases containing representations of complex objects permits access to vast amounts of data. In spite of the recent renewed in...
Rocío Romero-Záliz, Cristina Rubio-E...
ICML
2007
IEEE
15 years 10 months ago
Maximum margin clustering made practical
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Kai Zhang, Ivor W. Tsang, James T. Kwok
CLUSTER
2009
IEEE
15 years 4 months ago
Granules: A lightweight, streaming runtime for cloud computing with support, for Map-Reduce
— Cloud computing has gained significant traction in recent years. The Map-Reduce framework is currently the most dominant programming model in cloud computing settings. In this ...
Shrideep Pallickara, Jaliya Ekanayake, Geoffrey Fo...
WWW
2009
ACM
15 years 4 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...
ICMCS
2005
IEEE
129views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Video handover for retrieval in a ubiquitous environment using floor sensor data
A system for retrieving video captured in a ubiquitous environment is presented. Data from pressure-based floor sensors are obtained as a supplementary input together with video f...
Gamhewage C. de Silva, Toshihiko Yamasaki, Takayuk...