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» Massive Data Pre-Processing with a Cluster Based Approach
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SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
16 years 3 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim
VR
2000
IEEE
103views Virtual Reality» more  VR 2000»
15 years 11 months ago
Extending Locales: Awareness Management in MASSIVE-3
Locales (as first embodied in the SPLINE system) are a very good approach to constructing and organising large virtual environments, especially for distributed and multiuser syste...
Jim Purbrick, Chris Greenhalgh
ITS
2004
Springer
105views Multimedia» more  ITS 2004»
16 years 2 days ago
The Massive User Modelling System (MUMS)
Developing a learner model containing an accurate representation of a learner’s knowledge is made more difficult in distributed learning environments where the learner uses mult...
Christopher A. Brooks, Mike Winter, Jim E. Greer, ...
ICDCS
2011
IEEE
14 years 6 months ago
Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...
ICDS
2009
IEEE
16 years 1 months ago
A Hybrid Approach for Clustering-Based Data Aggregation in Wireless Sensor Networks
—In a wireless sensor network application for tracking multiple mobile targets, large amounts of sensing data can be generated by a number of sensors. These data must be controll...
Woo Sung Jung, Keun Woo Lim, Young-Bae Ko, Sang-Jo...