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ITCC
2005
IEEE
14 years 1 months ago
Mining Biomedical Images with Density-Based Clustering
Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...
TIME
2000
IEEE
14 years 6 days ago
Navigating through Hierarchical Change Propagation in Spatiotemporal Queries
In spatiotemporal applications, meaningful changes vary according to object type, level of detail, and nature of application. In this paper, we introduce a dynamic classification ...
Giorgos Mountrakis, Peggy Agouris, Anthony Stefani...
FLAIRS
2000
13 years 9 months ago
Inferencing Bayesian Networks from Time Series Data Using Natural Selection
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
Andrew J. Novobilski, Farhad Kamangar
FLAIRS
2004
13 years 9 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
BMCBI
2006
100views more  BMCBI 2006»
13 years 7 months ago
Design of microarray probes for virus identification and detection of emerging viruses at the genus level
Background: Most virus detection methods are geared towards the detection of specific single viruses or just a few known targets, and lack the capability to uncover the novel viru...
Cheng-Chung Chou, Te-Tsui Lee, Chun-Houh Chen, Hsi...