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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 11 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
PODC
2006
ACM
16 years 12 days ago
Grouped distributed queues: distributed queue, proportional share multiprocessor scheduling
We present Grouped Distributed Queues (GDQ), the first proportional share scheduler for multiprocessor systems that scales well with a large number of processors and processes. G...
Bogdan Caprita, Jason Nieh, Clifford Stein
MICRO
2005
IEEE
105views Hardware» more  MICRO 2005»
16 years 22 hour ago
Incremental Commit Groups for Non-Atomic Trace Processing
We introduce techniques to support efficient non-atomic execution of very long traces on a new binary translation based, x86-64 compatible VLIW microprocessor. Incrementally comm...
Matt T. Yourst, Kanad Ghose
IJMMS
2007
91views more  IJMMS 2007»
15 years 6 months ago
Mining communities and their relationships in blogs: A study of online hate groups
Blogs, often treated as the equivalence of online personal diaries, have become one of the fastest growing types of Web-based media. Everyone is free to express their opinions and...
Michael Chau, Jennifer Jie Xu
ICDCS
2008
IEEE
16 years 27 days ago
Performance Analysis of Group Based Detection for Sparse Sensor Networks
In this paper, we analyze the performance of group based detection in sparse sensor networks, when the system level detection decision is made based on the detection reports gener...
Jingbin Zhang, Gang Zhou, Sang Hyuk Son, John A. S...