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JCP
2008
166views more  JCP 2008»
15 years 7 months ago
Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as...
Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Ts...
203
Voted
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
15 years 8 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
182
Voted
ISPASS
2008
IEEE
16 years 1 months ago
Conservative vs. Optimistic Parallelization of Stateful Network Intrusion Detection
This paper presents and experimentally evaluates two parallelization strategies for the popular open-source Snort network intrusion detection system (NIDS). Snort identifies intr...
Derek L. Schuff, Yung Ryn Choe, Vijay S. Pai
SIGMETRICS
2003
ACM
16 years 15 days ago
Fluid models and solutions for large-scale IP networks
In this paper we present a scalable model of a network of Active Queue Management (AQM) routers serving a large population of TCP flows. We present efficient solution techniques...
Yong Liu, Francesco Lo Presti, Vishal Misra, Donal...
216
Voted

Publication
203views
15 years 7 months ago
Multigraph Sampling of Online Social Networks
State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation. While powerful, these methods ...
Minas Gjoka, Carter T. Butts, Maciej Kurant, Athin...