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» Large Scale Data Mining: Challenges and Responses
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KDD
2003
ACM
145views Data Mining» more  KDD 2003»
16 years 6 months ago
Carpenter: finding closed patterns in long biological datasets
The growth of bioinformatics has resulted in datasets with new characteristics. These datasets typically contain a large number of columns and a small number of rows. For example,...
Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang...
DAWAK
2007
Springer
16 years 8 days ago
Mining Top-K Multidimensional Gradients
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...
Ronnie Alves, Orlando Belo, Joel Ribeiro
BMCBI
2007
176views more  BMCBI 2007»
15 years 6 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...
IPPS
2002
IEEE
15 years 11 months ago
Parallel Incremental 2D-Discretization on Dynamic Datasets
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
Srinivasan Parthasarathy, Arun Ramakrishnan
CAMP
2005
IEEE
15 years 11 months ago
Virtual Astronomy, Information Technology, and the New Scientific Methodology
—All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transfor...
S. George Djorgovski