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NPC
2004
Springer
15 years 3 months ago
Online Mining in Sensor Networks
Online mining in large sensor networks just starts to attract interest. Finding patterns in such an environment is both compelling and challenging. The goal of this position paper ...
Xiuli Ma, Dongqing Yang, Shiwei Tang, Qiong Luo, D...
ICISC
2004
169views Cryptology» more  ICISC 2004»
14 years 11 months ago
ADWICE - Anomaly Detection with Real-Time Incremental Clustering
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
Kalle Burbeck, Simin Nadjm-Tehrani
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
14 years 11 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
14 years 7 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
CF
2010
ACM
15 years 1 months ago
Hybrid parallel programming with MPI and unified parallel C
The Message Passing Interface (MPI) is one of the most widely used programming models for parallel computing. However, the amount of memory available to an MPI process is limited ...
James Dinan, Pavan Balaji, Ewing L. Lusk, P. Saday...