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KDD
2010
ACM
195views Data Mining» more  KDD 2010»
15 years 8 months ago
Universal multi-dimensional scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
CSE
2009
IEEE
15 years 7 months ago
Using Qtag to Extract Dominant Public Opinion in Very Large-Scale Conversation
— These days VLSC (Very Large-Scale Conversation) is a particular type of online conversation, that is large scale, public, text-based, many-to-many and persistent. The nature of...
Sung Eob Lee, Taeksoo Chun, Steve SangKi Han
CLOUDCOM
2010
Springer
15 years 2 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
SIGCOMM
2012
ACM
13 years 6 months ago
AutoNetkit: simplifying large scale, open-source network experimentation
We present a methodology that brings simplicity to large and comt labs by using abstraction. The networking community has appreciated the value of large scale test labs to explore...
Simon Knight, Askar Jaboldinov, Olaf Maennel, Iain...
ECOOP
2009
Springer
16 years 5 months ago
Scaling CFL-Reachability-Based Points-To Analysis Using Context-Sensitive Must-Not-Alias Analysis
Pointer analyses derived from a Context-Free-Language (CFL) reachability formulation achieve very high precision, but they do not scale well to compute the points-to solution for a...
Guoqing Xu, Atanas Rountev, Manu Sridharan