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» Data Mining via Support Vector Machines
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KDD
2012
ACM
247views Data Mining» more  KDD 2012»
13 years 9 days ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
IPPS
2010
IEEE
14 years 7 months ago
A GPU-inspired soft processor for high-throughput acceleration
There is building interest in using FPGAs as accelerators for high-performance computing, but existing systems for programming them are so far inadequate. In this paper we propose...
Jeffrey Kingyens, J. Gregory Steffan
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 2 months ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
ICSEA
2007
IEEE
15 years 4 months ago
An Extensible Architecture for Network-Attached Device Management
The development of network-attached devices has ushered in an era of autonomous, multi-function equipment demanding minimal human interaction: the only requirements are data and e...
Michael J. McMahon Jr., Sergiu M. Dascalu, Frederi...
IEEEPACT
2000
IEEE
15 years 2 months ago
Global Register Partitioning
Modern computers have taken advantage of the instruction-level parallelism (ILP) available in programs with advances in both architecture and compiler design. Unfortunately, large...
Jason Hiser, Steve Carr, Philip H. Sweany