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AI
2005
Springer
14 years 1 months ago
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
Xin Wang, Howard J. Hamilton
GIS
2007
ACM
14 years 8 months ago
Cluster By: a new sql extension for spatial data aggregation
The development of areas such as remote and airborne sensing, location based services, and geosensor networks enables the collection of large volumes of spatial data. These datase...
Chengyang Zhang, Yan Huang
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 9 months ago
Robust Clustering in Arbitrarily Oriented Subspaces
In this paper, we propose an efficient and effective method to find arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set of possi...
Elke Achtert, Christian Böhm, Jörn David...
KAIS
2006
164views more  KAIS 2006»
13 years 7 months ago
On efficiently summarizing categorical databases
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
Jianyong Wang, George Karypis
KDD
2002
ACM
1075views Data Mining» more  KDD 2002»
14 years 8 months ago
CLOPE: a fast and effective clustering algorithm for transactional data
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
Yiling Yang, Xudong Guan, Jinyuan You