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» On demand classification of data streams
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SAC
2004
ACM
14 years 1 months ago
LEMP: Lightweight Efficient Multicast Protocol for video on demand
In this paper, we propose a new scalable application-layer protocol, specifically designed for data streaming applications with large client sets. This is based upon a control hie...
Panayotis E. Fouliras, Spiros Xanthos, Nikolaos Ts...
PAKDD
2010
ACM
165views Data Mining» more  PAKDD 2010»
13 years 10 months ago
Classification and Novel Class Detection in Data Streams with Active Mining
We present ActMiner, which addresses four major challenges to data stream classification, namely, infinite length, concept-drift, conceptevolution, and limited labeled data. Most o...
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei ...
JLP
2000
109views more  JLP 2000»
13 years 8 months ago
Demand Transformation Analysis for Concurrent Constraint Programs
interpretation. In the context of stream parallelism, this analysis identi es an amount of input data for which predicate execution can safely wait without danger of introducing de...
Moreno Falaschi, Patrick Hicks, William H. Winsbor...
MM
1994
ACM
90views Multimedia» more  MM 1994»
14 years 18 days ago
Scheduling Policies for an On-Demand Video Server with Batching
In an on-demand video server environment, clients make requests for movies to a centralized video server. Due to the stringent response time requirements, continuous delivery of a...
Asit Dan, Dinkar Sitaram, Perwez Shahabuddin
ECOI
2010
117views more  ECOI 2010»
13 years 8 months ago
Ensemble extraction for classification and detection of bird species
Advances in technology have enabled new approaches for sensing the environment and collecting data about the world. Once collected, sensor readings can be assembled into data stre...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage