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Št. zadetkov: 8
Learning novel concepts: beyond one-class
Joao Gama
Video in druga učna gradiva
Oznake:
OLINDDA (OnLIne Novelty and Drift Detection Algorithm) addresses the problem of novelty detection in an online continuous learning scenario as an extension to a single-class classification problem. This paper presents its current version, that evolved toward the discovery of new concepts initially a ...
Leto: 2007 Vir: videolectures.net
State of the Art in Data Stream Mining
Joao Gama
Video in druga učna gradiva
Oznake: computer science;data mining
Leto: 2007 Vir: videolectures.net
Data Stream Mining for Ubiquitous Environments
Joao Gama
Video in druga učna gradiva
Oznake: computer science;data mining
In the data stream computational model examples are processed once, using restricted computational resources and storage capabilities. The goal of data stream mining consists of learning a decision model, under these constraints, from sequences of observations generated from environments with unknow ...
Leto: 2012 Vir: videolectures.net
Issues in Evaluation of Stream Learning Algorithms
Joao Gama
Video in druga učna gradiva
Oznake: computer science;data mining;temporal & streams mining
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that continuously evolve over time, run in resource-aware environments, detect and react to changes in the environment generati ...
Leto: 2009 Vir: videolectures.net
An introduction to learning from data streams
Joao Gama
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2014 Vir: videolectures.net
Mining streaming data and networks
João Gama
Video in druga učna gradiva
Oznake: computer science;data science
Leto: 2016 Vir: videolectures.net
Clustering Distributed Sensor Data Streams
Pedro Pereira Rodrigues , Joao Gama , Luis Lopes
Video in druga učna gradiva
Oznake: computer science;machine learning;clustering;sensor networks
In this work we study the problem of continuously maintain a cluster structure over the data points generated by a sensor network. We propose DGClust, a new distributed algorithm which reduces both the dimensionality and the communication burdens, by allowing each local sensor to keep an online disc ...
Leto: 2008 Vir: videolectures.net
IoT Big Data Stream Mining
Latifur Khan , João Gama , Albert Bifet
Video in druga učna gradiva
Oznake: computer science;data science
The challenge of deriving insights from the Internet of Things (IoT) has been recognized as one of the most exciting and key opportunities for both academia and industry. Advanced analysis of big data streams from sensors and devices is bound to become a key area of data mining research as the numbe ...
Leto: 2016 Vir: videolectures.net
Št. zadetkov: 8
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