184 search results - page 22 / 37 » Data Mining for Selective Visualization of Large Spatial Dat... |
TCBB
2011
13 years 2 months ago
2011
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
MIR
2006
ACM
14 years 1 months ago
2006
ACM
We describe a framework for automatically selecting a summary set of photos from a large collection of geo-referenced photographs. Such large collections are inherently difficult ...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
ADMA
2009
Springer
14 years 2 months ago
2009
Springer
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...