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» CURE: An Efficient Clustering Algorithm for Large Databases
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CIKM
1997
Springer
15 years 8 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
226
Voted
GIS
2003
ACM
16 years 5 months ago
An efficient r-tree implementation over flash-memory storage systems
For many applications with spatial data management such as Geographic Information Systems (GIS), block-oriented access over flash memory could introduce a significant number of no...
Chin-Hsien Wu, Li-Pin Chang, Tei-Wei Kuo
SIGMOD
2010
ACM
151views Database» more  SIGMOD 2010»
15 years 4 months ago
Exploring schema similarity at multiple resolutions
Large, dynamic, and ad-hoc organizations must frequently initiate data integration and sharing efforts with insufficient awareness of how organizational data sources are related. ...
Ken Smith, Craig Bonaceto, Chris Wolf, Beth Yost, ...

Publication
331views
17 years 3 months ago
On Accurate and Efficient Statistical Counting in Sensor-Based Surveillance Systems
Sensor networks have been used in many surveillance systems, providing statistical information about monitored areas. Accurate counting information (e.g., the distribution of the ...
Shuo Guo, Tian He, Mohamed F. Mokbel, John A. Stan...
EMMCVPR
1997
Springer
15 years 8 months ago
Deterministic Annealing for Unsupervised Texture Segmentation
Abstract. In this paper a rigorous mathematical framework of deterministic annealing and mean-field approximation is presented for a general class of partitioning, clustering and ...
Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann