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DIS
2006
Springer
15 years 10 months ago
Incremental Algorithm Driven by Error Margins
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
Gonzalo Ramos-Jiménez, José del Camp...
PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
15 years 10 months ago
A Comparative Study of Classification Based Personal E-mail Filtering
This paper addresses personal E-mail filtering by casting it in the framework of text classification. Modeled as semi-structured documents, Email messages consist of a set of field...
Yanlei Diao, Hongjun Lu, Dekai Wu
DCOSS
2010
Springer
15 years 10 months ago
Data Spider: A Resilient Mobile Basestation Protocol for Efficient Data Collection in Wireless Sensor Networks
Traditional deployments of wireless sensor networks (WSNs) rely on static basestations to collect data. For applications with highly spatio-temporal and dynamic data generation, su...
Onur Soysal, Murat Demirbas
WSC
2008
15 years 9 months ago
The improved sweep metaheuristic for simulation optimization and application to job shop scheduling
We present an improved sweep metaheuristic for discrete event simulation optimization. The sweep algorithm is a tree search similar to beam search. The basic idea is to run a limi...
George Jiri Mejtsky
ADC
2008
Springer
143views Database» more  ADC 2008»
15 years 8 months ago
TRACK : A Novel XML Join Algorithm for Efficient Processing Twig Queries
In order to find all occurrences of a tree/twig pattern in an XML database, a number of holistic twig join algorithms have been proposed. However, most of these algorithms focus o...
Dongyang Li, Chunping Li