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PKDD
2004
Springer
131views Data Mining» more  PKDD 2004»
14 years 1 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,...
AMDO
2010
Springer
13 years 11 months ago
Data-Driven On-Line Generation of Interactive Gait Motion
In this paper, we present a novel constraint-based method that is able to adapt captured gait motions to new paths while preserving the original gait style. Foot-plant constraints ...
Liang Zhang, Stephan Rusdorf, Guido Brunnett
SIGMOD
2003
ACM
158views Database» more  SIGMOD 2003»
14 years 8 months ago
Processing Set Expressions over Continuous Update Streams
There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. In ...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
ICN
2005
Springer
14 years 1 months ago
A Bandwidth Allocation Algorithm Based on Historical QoS Metric for Adaptive Video Streaming
This paper introduces a dynamic bandwidth allocation algorithm in a video streaming multicast system. The approach is to introduce the vibration of received video quality into the ...
Ling Guo, Yuanchun Shi, Wei Duan
CORR
2008
Springer
113views Education» more  CORR 2008»
13 years 8 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac