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» A Framework for Clustering Massive-Domain Data Streams
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VLDB
2004
ACM
126views Database» more  VLDB 2004»
14 years 1 months ago
A Framework for Projected Clustering of High Dimensional Data Streams
Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Phil...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 9 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
DASFAA
2007
IEEE
178views Database» more  DASFAA 2007»
14 years 2 months ago
ClusterSheddy : Load Shedding Using Moving Clusters over Spatio-temporal Data Streams
Abstract. Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the loa...
Rimma V. Nehme, Elke A. Rundensteiner
DAWAK
2004
Springer
14 years 1 months ago
SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...
Kok-Leong Ong, Wenyuan Li, Wee Keong Ng, Ee-Peng L...
CIDM
2007
IEEE
14 years 2 months ago
A Prototype-driven Framework for Change Detection in Data Stream Classification
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
Hamed Valizadegan, Pang-Ning Tan