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ICDCS
2002
IEEE
15 years 4 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
BMCBI
2007
154views more  BMCBI 2007»
14 years 12 months ago
PepBank - a database of peptides based on sequence text mining and public peptide data sources
Background: Peptides are important molecules with diverse biological functions and biomedical uses. To date, there does not exist a single, searchable archive for peptide sequence...
Timur Shtatland, Daniel Guettler, Misha Kossodo, M...
DEXA
2005
Springer
148views Database» more  DEXA 2005»
15 years 5 months ago
XG: A Data-Driven Computation Grid for Enterprise-Scale Mining
In this paper we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. We show how such an architecture can be le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Wen-...
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
16 years 6 days ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
IPPS
2006
IEEE
15 years 5 months ago
Supporting self-adaptation in streaming data mining applications
There are many application classes where the users are flexible with respect to the output quality. At the same time, there are other constraints, such as the need for real-time ...
Liang Chen, Gagan Agrawal