148
Voted
PAKDD
15 years 7 months ago
2009 ACM 
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
133
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PAKDD
15 years 5 months ago
2009 ACM
Abstract. Over the last decade several prediction methods have been developed for determining structural and functional properties of individual protein residues using sequence and...
100
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PAKDD
15 years 5 months ago
2009 ACM 
A large proportion of the massive amounts of data that are being collected by many organisations today is about people, and often contains identifying information like names, addre...
101
Voted
PAKDD
15 years 9 months ago
2009 ACM
Detecting changes in spatial datasets is important for many fields. In this paper, we introduce a methodology for change analysis in spatial datasets that combines contouring algor...
125
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PAKDD
15 years 9 months ago
2009 ACM 
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
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Data Mining