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CHI
2011
ACM
12 years 11 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
EDBT
2004
ACM
141views Database» more  EDBT 2004»
14 years 7 months ago
HEAVEN: A Hierarchical Storage and Archive Environment for Multidimensional Array Database Management Systems
Abstract. The intention of this paper is to present HEAVEN, a solution of intelligent management of large-scale datasets held on tertiary storage systems. We introduce the common s...
Bernd Reiner, Karl Hahn
ICDCS
2003
IEEE
14 years 20 days ago
Decision-Support Workload Characteristics on a Clustered Database Server from the OS Perspective
A range of database services are being offered on clusters of workstations today to meet the demanding needs of applications with voluminous datasets, high computational and I/O r...
Yanyong Zhang, Jianyong Zhang, Anand Sivasubramani...
WWW
2005
ACM
14 years 8 months ago
Learning domain ontologies for Web service descriptions: an experiment in bioinformatics
The reasoning tasks that can be performed with semantic web service descriptions depend on the quality of the domain ontologies used to create these descriptions. However, buildin...
Marta Sabou, Chris Wroe, Carole A. Goble, Gilad Mi...
COLING
2000
13 years 8 months ago
Automatic Acquisition of Domain Knowledge for Information Extraction
In developing an Infbrmation Extraction tIE) system tbr a new class of events or relations, one of the major tasks is identifying the many ways in which these events or relations ...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen, ...