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» Issues in evaluation of stream learning algorithms
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AINA
2007
IEEE
14 years 2 months ago
Data Stream Based Algorithms For Wireless Sensor Network Applications
Abstract— A wireless sensor network (WSN) is energy constrained, and the extension of its lifetime is one of the most important issues in its design. Usually, a WSN collects a la...
André L. L. de Aquino, Carlos Mauricio S. F...
JMLR
2010
130views more  JMLR 2010»
13 years 2 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
14 years 8 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
14 years 9 months ago
Randomized Synopses for Query Assurance on Data Streams
The overwhelming flow of information in many data stream applications forces many companies to outsource to a third-party the deployment of a Data Stream Management System (DSMS) f...
Ke Yi, Feifei Li, Marios Hadjieleftheriou, George ...
KDD
1998
ACM
181views Data Mining» more  KDD 1998»
13 years 12 months ago
Approaches to Online Learning and Concept Drift for User Identification in Computer Security
The task in the computer security domain of anomaly detection is to characterize the behaviors of a computer user (the `valid', or `normal' user) so that unusual occurre...
Terran Lane, Carla E. Brodley