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ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
15 years 6 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
APLAS
2004
ACM
15 years 4 months ago
Translation of Tree-Processing Programs into Stream-Processing Programs Based on Ordered Linear Type
There are two ways to write a program for manipulating tree-structured data such as XML documents: One is to write a tree-processing program focusing on the logical structure of t...
Koichi Kodama, Kohei Suenaga, Naoki Kobayashi
PKDD
2004
Springer
131views Data Mining» more  PKDD 2004»
15 years 4 months ago
Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...
ICIP
2003
IEEE
16 years 28 days ago
Rate-distortion optimized streaming of compressed light fields
We propose a framework for the streaming of light fields over a lossy error-prone packet network. This system is optimized for the end-user according to a rate-distortion criterio...
Prashant Ramanathan, Mark Kalman, Bernd Girod
PAKDD
2010
ACM
189views Data Mining» more  PAKDD 2010»
15 years 4 months ago
Subsequence Matching of Stream Synopses under the Time Warping Distance
In this paper, we propose a method for online subsequence matching between histogram-based stream synopsis structures under the dynamic warping distance. Given a query synopsis pat...
Su-Chen Lin, Mi-Yen Yeh, Ming-Syan Chen