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» Large Scale Data Mining: Challenges and Responses
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ICDE
2005
IEEE
164views Database» more  ICDE 2005»
16 years 7 months ago
Knowledge Discovery from Transportation Network Data
Transportation and Logistics are a major sector of the economy, however data analysis in this domain has remained largely in the province of optimization. The potential of data mi...
Wei Jiang, Jaideep Vaidya, Zahir Balaporia, Chris ...
KDD
2010
ACM
195views Data Mining» more  KDD 2010»
15 years 10 months ago
Universal multi-dimensional scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
TMA
2010
Springer
206views Management» more  TMA 2010»
16 years 26 days ago
Collection and Exploration of Large Data Monitoring Sets Using Bitmap Databases
Collecting and exploring monitoring data is becoming increasingly challenging as networks become larger and faster. Solutions based on both SQL-databases and specialized binary for...
Luca Deri, Valeria Lorenzetti, Steve Mortimer
RECOMB
2007
Springer
16 years 6 months ago
QNet: A Tool for Querying Protein Interaction Networks
Molecular interaction databases can be used to study the evolution of molecular pathways across species. Querying such pathways is a challenging computational problem, and recent e...
Banu Dost, Tomer Shlomi, Nitin Gupta 0002, Eytan R...
ISCA
2011
IEEE
269views Hardware» more  ISCA 2011»
14 years 9 months ago
Power management of online data-intensive services
Much of the success of the Internet services model can be attributed to the popularity of a class of workloads that we call Online Data-Intensive (OLDI) services. These workloads ...
David Meisner, Christopher M. Sadler, Luiz Andr&ea...