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» Detecting Significant Multidimensional Spatial Clusters
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SSD
2007
Springer
131views Database» more  SSD 2007»
13 years 11 months ago
Efficiently Mining Regional Outliers in Spatial Data
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
Richard Frank, Wen Jin, Martin Ester
CSB
2003
IEEE
123views Bioinformatics» more  CSB 2003»
13 years 10 months ago
Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data
DNA microarray technology provides a broad snapshot of the state of the cell by measuring the expression levels of thousands of genes simultaneously. Visualization techniques can ...
Li Zhang, Aidong Zhang, Murali Ramanathan
ITCC
2005
IEEE
13 years 10 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...
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
13 years 10 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
ICIP
2008
IEEE
14 years 6 months ago
Adaptive decoding for halftone orientation-based data hiding
Halftone image watermarking techniques that allow automated extraction of the embedded watermark data are useful in a variety of document security and workflow applications. The p...
Orhan Bulan, Gaurav Sharma, Vishal Monga