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KDD
1998
ACM
164views Data Mining» more  KDD 1998»
13 years 9 months ago
A Data Mining Support Environment and its Application on Insurance Data
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
Martin Staudt, Jörg-Uwe Kietz, Ulrich Reimer
DILS
2005
Springer
13 years 10 months ago
Cluster Based Integration of Heterogeneous Biological Databases Using the AutoMed Toolkit
This paper presents an extensible architecture that can be used to support the integration of heterogeneous biological data sets. In our architecture, a clustering approach has bee...
Michael Maibaum, Lucas Zamboulis, Galia Rimon, Chr...
CORR
2010
Springer
218views Education» more  CORR 2010»
13 years 1 months ago
User Centered and Ontology Based Information Retrieval System for Life Sciences
Because of the increasing number of electronic data, designing efficient tools to retrieve and exploit documents is a major challenge. Current search engines suffer from two main d...
Sylvie Ranwez, Vincent Ranwez, Mohameth-Fran&ccedi...
ICDE
2010
IEEE
252views Database» more  ICDE 2010»
14 years 4 months ago
Semantic Ranking and Result Visualization for Life Sciences Publications
An ever-increasing amount of data and semantic knowledge in the domain of life sciences is bringing about new data management challenges. In this paper we focus on adding the seman...
Julia Stoyanovich, Kenneth A. Ross, William Mee
CIDR
2009
155views Algorithms» more  CIDR 2009»
13 years 6 months ago
LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases
Workloads that comb through vast amounts of data are gaining importance in the sciences. These workloads consist of "needle in a haystack" queries that are long running ...
Xiaodan Wang, Randal C. Burns, Tanu Malik