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ESANN
2004
13 years 8 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
VLDB
2005
ACM
141views Database» more  VLDB 2005»
14 years 27 days ago
Automatic Data Fusion with HumMer
Heterogeneous and dirty data is abundant. It is stored under different, often opaque schemata, it represents identical real-world objects multiple times, causing duplicates, and ...
Alexander Bilke, Jens Bleiholder, Christoph Bö...
SIGMOD
2003
ACM
166views Database» more  SIGMOD 2003»
14 years 7 months ago
Statistical Schema Matching across Web Query Interfaces
Schema matching is a critical problem for integrating heterogeneous information sources. Traditionally, the problem of matching multiple schemas has essentially relied on finding ...
Bin He, Kevin Chen-Chuan Chang
BMCBI
2008
226views more  BMCBI 2008»
13 years 7 months ago
ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining
Background: New systems biology studies require researchers to understand how interplay among myriads of biomolecular entities is orchestrated in order to achieve high-level cellu...
Tianxiao Huan, Andrey Y. Sivachenko, Scott H. Harr...
VDA
2010
206views Visualization» more  VDA 2010»
13 years 9 months ago
Visual discovery in multivariate binary data
This paper presents the concept of Monotone Boolean Function Visual Analytics (MBFVA) and its application to the medical domain. The medical application is concerned with discover...
Boris Kovalerchuk, Florian Delizy, Logan Riggs, Ev...