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116
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JCS
2000
148views more  JCS 2000»
15 years 3 months ago
Using Sample Size to Limit Exposure to Data Mining
Data mining introduces new problems in database security. The basic problem of using non-sensitive data to infer sensitive data is made more difficult by the "prob abilistic&...
Chris Clifton
143
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BMCBI
2005
189views more  BMCBI 2005»
15 years 3 months ago
A sentence sliding window approach to extract protein annotations from biomedical articles
Background: Within the emerging field of text mining and statistical natural language processing (NLP) applied to biomedical articles, a broad variety of techniques have been deve...
Martin Krallinger, Maria Padron, Alfonso Valencia
252
Voted
ICDE
2001
IEEE
192views Database» more  ICDE 2001»
16 years 5 months ago
Integrating Data Mining with SQL Databases: OLE DB for Data Mining
The integration of data mining with traditional database systems is key to making it convenient, easy to deploy in real applications, and to growing its user base. In this paper w...
Amir Netz, Surajit Chaudhuri, Usama M. Fayyad, Jef...
248
Voted
ICTAI
2010
IEEE
15 years 26 days ago
Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments
Abstract--Pocket Data Mining PDM is our new term describing collaborative mining of streaming data in mobile and distributed computing environments. With sheer amounts of data stre...
Frederic T. Stahl, Mohamed Medhat Gaber, Max Brame...
126
Voted
FGCS
2008
148views more  FGCS 2008»
15 years 3 months ago
Grid-enabling data mining applications with DataMiningGrid: An architectural perspective
The DataMiningGrid system has been designed to meet the requirements of modern and distributed data mining scenarios. Based on the Globus Toolkit and other open technology and sta...
Vlado Stankovski, Martin T. Swain, Valentin Kravts...