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» Efficient Discovery of Confounders in Large Data Sets
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KDD
1997
ACM
221views Data Mining» more  KDD 1997»
13 years 11 months ago
MineSet: An Integrated System for Data Mining
MineSetTM , Silicon Graphics’ interactive system for data mining, integrates three powerful technologies: database access, analytical data mining, and data visualization. It sup...
Clifford Brunk, James Kelly, Ron Kohavi
DIS
2001
Springer
14 years 4 days ago
Dynamic Aggregation to Support Pattern Discovery: A Case Study with Web Logs
Rapid growth of digital data collections is overwhelming the capabilities of humans to comprehend them without aid. The extraction of useful data from large raw data sets is someth...
Lida Tang, Ben Shneiderman
ICDT
2007
ACM
74views Database» more  ICDT 2007»
13 years 11 months ago
World-Set Decompositions: Expressiveness and Efficient Algorithms
Uncertain information is commonplace in real-world data management scenarios. The ability to represent large sets of possible instances (worlds) while supporting efficient storage ...
Lyublena Antova, Christoph Koch, Dan Olteanu
BMCBI
2008
119views more  BMCBI 2008»
13 years 7 months ago
A new method for 2D gel spot alignment: application to the analysis of large sample sets in clinical proteomics
Background: In current comparative proteomics studies, the large number of images generated by 2D gels is currently compared using spot matching algorithms. Unfortunately, differe...
Sabine Pérès, Laurence Molina, Nicol...
DAWAK
1999
Springer
13 years 12 months ago
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases
Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on efficient quer...
Stefan Berchtold, Christian Böhm, Hans-Peter ...