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» Data Modelling in Complex Application Domains
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DIS
2004
Springer
15 years 10 months ago
Predictive Graph Mining
Abstract. Graph mining approaches are extremely popular and effective in molecular databases. The vast majority of these approaches first derive interesting, i.e. frequent, patte...
Andreas Karwath, Luc De Raedt
ERCIMDL
2004
Springer
104views Education» more  ERCIMDL 2004»
15 years 10 months ago
Servicing the Federation: The Case for Metadata Harvesting
The paper presents a comparative analysis of data harvesting and distributed computing as complementary models of service delivery within large-scale federated digital libraries. I...
Fabio Simeoni
HPDC
1998
IEEE
15 years 9 months ago
Metascheduling: A Scheduling Model for Metacomputing Systems
Abstract Metacomputing is the seamless application of geographically-separated distributed computing resources to user applications. We consider the scheduling of metaapplications;...
Jon B. Weissman
144
Voted
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
16 years 5 months ago
A generalized framework for mining spatio-temporal patterns in scientific data
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...
Hui Yang, Srinivasan Parthasarathy, Sameep Mehta
161
Voted
SDM
2003
SIAM
123views Data Mining» more  SDM 2003»
15 years 6 months ago
Fast Online SVD Revisions for Lightweight Recommender Systems
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
Matthew Brand