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» Distributed Data Management for Large Volume Visualization
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KDD
2008
ACM
165views Data Mining» more  KDD 2008»
16 years 6 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...
APVIS
2009
15 years 7 months ago
Interactive feature extraction and tracking by utilizing region coherency
The ability to extract and follow time-varying flow features in volume data generated from large-scale numerical simulations enables scientists to effectively see and validate mod...
Chris Muelder, Kwan-Liu Ma
GIS
2007
ACM
16 years 7 months ago
High-level web service for 3D building information visualization and analysis
This paper presents an approach to visualize and analyze 3D building information models within virtual 3D city models. Building information models (BIMs) formalize and represent d...
Benjamin Hagedorn, Jürgen Döllner
JCP
2007
148views more  JCP 2007»
15 years 6 months ago
P3ARM-t: Privacy-Preserving Protocol for Association Rule Mining with t Collusion Resistance
— The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets dis...
Iman Saleh, Mohamed Eltoweissy
IPPS
2006
IEEE
16 years 13 days ago
A study of MPI performance analysis tools on Blue Gene/L
Applications on todays massively parallel supercomputers rely on performance analysis tools to guide them toward scalable performance on thousands of processors. However, conventi...
I-Hsin Chung, Robert Walkup, Hui-Fang Wen, Hao Yu