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» Approximate data mining in very large relational data
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DEXAW
2003
IEEE
164views Database» more  DEXAW 2003»
15 years 6 months ago
Towards an Open Service Architecture for Data Mining on the Grid
Across a wide variety of fields, huge datasets are being collected and accumulated at a dramatical pace. The datasets addressed by individual applications are very often heteroge...
Peter Brezany, Jürgen Hofer, Alexander Wö...
SSDBM
2003
IEEE
164views Database» more  SSDBM 2003»
15 years 6 months ago
Approximate String Joins
String data is ubiquitous, and its management has taken on particular importance in the past few years. Approximate queries are very important on string data especially for more c...
Divesh Srivastava
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 2 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
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IJISTA
2008
95views more  IJISTA 2008»
15 years 1 months ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach
BMCBI
2008
132views more  BMCBI 2008»
15 years 1 months ago
Very Important Pool (VIP) genes - an application for microarray-based molecular signatures
Background: Advances in DNA microarray technology portend that molecular signatures from which microarray will eventually be used in clinical environments and personalized medicin...
Zhenqiang Su, Huixiao Hong, Hong Fang, Leming M. S...