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EDBT
2004
ACM
268views Database» more  EDBT 2004»
16 years 6 months ago
DBDC: Density Based Distributed Clustering
Abstract. Clustering has become an increasingly important task in modern application domains such as marketing and purchasing assistance, multimedia, molecular biology as well as m...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
ICDS
2009
IEEE
16 years 1 months ago
A Hybrid Approach for Clustering-Based Data Aggregation in Wireless Sensor Networks
—In a wireless sensor network application for tracking multiple mobile targets, large amounts of sensing data can be generated by a number of sensors. These data must be controll...
Woo Sung Jung, Keun Woo Lim, Young-Bae Ko, Sang-Jo...
ICDCS
2012
IEEE
13 years 8 months ago
NEAT: Road Network Aware Trajectory Clustering
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
Binh Han, Ling Liu, Edward Omiecinski
APWEB
2006
Springer
15 years 10 months ago
Generalized Projected Clustering in High-Dimensional Data Streams
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
Ting Wang
CIMCA
2005
IEEE
16 years 2 days ago
Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
George E. Tsekouras