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» Using Rough Sets as Tools for Knowledge Discovery
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DAWAK
1999
Springer
15 years 2 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 ...
SIGKDD
2000
237views more  SIGKDD 2000»
14 years 9 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
WIDM
2006
ACM
15 years 3 months ago
The GEON portal: accelerating knowledge discovery in the geosciences
Geoscience studies produce data from various observations, experiments, and simulations at an enormous rate. With proliferation of applications and data formats, the geoscience re...
Ullas Nambiar, Bertram Ludäscher, Kai Lin, Ch...
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
14 years 12 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo
BMCBI
2008
99views more  BMCBI 2008»
14 years 10 months ago
NestedMICA as an ab initio protein motif discovery tool
Background: Discovering overrepresented patterns in amino acid sequences is an important step in protein functional element identification. We adapted and extended NestedMICA, an ...
Mutlu Dogruel, Thomas A. Down, Tim J. P. Hubbard