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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»
14 years 4 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»
13 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»
14 years 19 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
12 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
14 years 2 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...