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Concept drift
In predictive analytics and machine learning, the concept drift means that the statistical properties of the target variable, which the model is…
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9 relations
Broader (2)
Data mining
Machine learning
Data stream mining
ECML PKDD
Incremental decision tree
MOA
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Handling Concept Drift in Data Streams by Using Drift Detection Methods
M. Patil
Data Management, Analytics and Innovation
2018
Corpus ID: 70124466
The growth and development of the information and communication technology of the present era resulted in huge amount data…
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2015
2015
Dynamic Bayesian modeling for risk prediction in credit operations
Hanen Borchani
,
Ana M. Martínez
,
+6 authors
R. Sáez
Scandinavian Conference on AI
2015
Corpus ID: 998896
Hanen BORCHANI a,1, Ana M. MARTINEZ a,2,1, Andres R. MASEGOSA b,1, Helge LANGSETH b, Thomas D. NIELSEN a, Antonio SALMERON c…
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2013
2013
Exploring concept drift using interactive simulations
Jeremiah Smith
,
Naranker Dulay
,
M. Tóth
,
O. Amft
,
Yanxia Zhang
IEEE International Conference on Pervasive…
2013
Corpus ID: 17130086
In machine learning, concept drift can cause the optimal solution to a given problem to change as time passes, leading to less…
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2012
2012
Discovering Evolution Chains in Dynamic Networks
Corrado Loglisci
,
Michelangelo Ceci
,
Donato Malerba
NFMCP
2012
Corpus ID: 2556942
Most of the works on learning from networked data assume that the network is static. In this paper we consider a different…
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2010
2010
Cost-sensitive Boosting for Concept Drift
A. Venkatesan
,
N. C. Krishnan
,
S. Panchanathan
2010
Corpus ID: 15965729
Concept drift is a phenomenon typically experienced when data distributions change continuously over a period of time. In this…
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2010
2010
Drift Prospecting within the QUEST Project Area , Central British Columbia ( NTS 093 J ) : Potential for Porphyry Copper-Gold , Volcanogenic Massive Sulphide Mineralization and Gold-Copper Veins
B. Ward
2010
Corpus ID: 54009792
The In te rior Pla teau re gion of cen tral Brit ish Co lum bia has ex pe ri enced a ma jor out break of moun tain pine bee tle…
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2008
2008
Detecting sudden concept drift with knowledge of human behavior
Kyosuke Nishida
,
Shohei Shimada
,
S. Ishikawa
,
K. Yamauchi
IEEE International Conference on Systems, Man and…
2008
Corpus ID: 28542768
Concept drift, the change over time of the statistical properties of the target variable, is a serious problem for online…
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2008
2008
RUSE-WARMR: Rule Selection for Classifier Induction in Multi-relational Data-Sets
C. Ferreira
,
João Gama
,
V. S. Costa
IEEE International Conference on Tools with…
2008
Corpus ID: 14426863
One of the major challenges in knowledge discovery is how to extract meaningful and useful knowledge from the complex structured…
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1998
1998
Do different predators affect distance, direction, and destination of movements by a stream mayfly?
A. Mcintosh
,
C. Townsend
1998
Corpus ID: 54780182
We observed the directions and distances travelled by Nesameletus ornatus mayfly nymphs in stream channels (current velocity 18…
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1996
1996
Modelling the variability of the drift of blue whiting larvae and its possible importance for recruitment
E. Svendsen
,
M. Skogen
,
T. Monstad
,
S. Coombs
1996
Corpus ID: 133277781
by Einar Svendsen, Morten Skogen, Terje Monstad Institute if Marine Research, Bergen, Norway Stephen Coombs Plymouth Marine…
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