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MOA

Known as: MOA (Massive Online Analysis), Massive online analysis, Moa (disambiguation) 
MOA (Massive Online Analysis) is a free open-source software specific for Data stream mining with Concept drift. It is written in Java and developed… 
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Related topics

Related topics

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Active learning (machine learning)Concept driftData stream miningJava

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
An Online Machine Learning Algorithm for Heat Load Forecasting in District Heating Systems
Context. Heat load forecasting is an important part of district heating optimization. In particular, energy companies aim at… 
2012
2012
Permanent raised beds improved soil structure and yield of spring wheat in arid north‐western China
In arid north‐western China, soil degradation, limited water and subsequent yield decline, largely as a result of excessive… 
2011
2011
Time-Domain Finite-Element Method for the Transient Response of Multiconductor Transmission Lines Excited by an Electromagnetic Field
The calculation of voltages induced by external electromagnetic fields on multiconductor transmission lines (MTLs) has been the… 
2009
2009
Myths and Mechanics of Deterrence: The Role of Lawsuits in Law Enforcement Decisionmaking
Judicial and scholarly descriptions of the deterrent power of civil rights damages actions rely heavily on the assumption that… 
2009
2009
Adaptive parameter-free learning from evolving data streams
We propose and illustrate a method for developing algorithms that can adaptively learn from data streams that change over time… 
2009
2009
Missouri Department of Social Services
The Chronic Care Improvement Program integrates disease management, case management and electronic care in order to improve the… 
2000
2000
Yrkes- och arbetsplatsinlåsning En empirisk studie av omfattning och hälsokonsekvenser
Highly Cited
1999
Highly Cited
1999
Transparent semiconducting ZnO:Al thin films prepared by spray pyrolysis
1993
1993
Simultaneous estimation of seed-fertilizer adoption decisions: An application to hybrid maize in Malawi
1990
1990
Morphological Analysis and Synthesis by Automated Discovery and Acquisition of Linguistic Rules
This paper describes a rule-based machine learning approach to morphological processing in the system called XMAS. XMAS discovers… 
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