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Ensemble learning for data stream analysis: A survey
In many applications of information systems learning algorithms have to act in dynamic
environments where data are collected in the form of transient data streams. Compared to …
environments where data are collected in the form of transient data streams. Compared to …
A survey on ensemble learning for data stream classification
Ensemble-based methods are among the most widely used techniques for data stream
classification. Their popularity is attributable to their good performance in comparison to …
classification. Their popularity is attributable to their good performance in comparison to …
Learning in nonstationary environments: A survey
The prevalence of mobile phones, the internet-of-things technology, and networks of
sensors has led to an enormous and ever increasing amount of data that are now more …
sensors has led to an enormous and ever increasing amount of data that are now more …
A survey on concept drift adaptation
Concept drift primarily refers to an online supervised learning scenario when the relation
between the input data and the target variable changes over time. Assuming a general …
between the input data and the target variable changes over time. Assuming a general …
Characterizing concept drift
Most machine learning models are static, but the world is dynamic, and increasing online
deployment of learned models gives increasing urgency to the development of efficient and …
deployment of learned models gives increasing urgency to the development of efficient and …
A voting ensemble classifier for wafer map defect patterns identification in semiconductor manufacturing
A wafer map contains a graphical representation of the locations about defect pattern on the
semiconductor wafer, which can provide useful information for quality engineers. Various …
semiconductor wafer, which can provide useful information for quality engineers. Various …
A survey of techniques for event detection in twitter
Twitter is among the fastest‐growing microblogging and online social networking services.
Messages posted on Twitter (tweets) have been reporting everything from daily life stories to …
Messages posted on Twitter (tweets) have been reporting everything from daily life stories to …
Learned lessons in credit card fraud detection from a practitioner perspective
Billions of dollars of loss are caused every year due to fraudulent credit card transactions.
The design of efficient fraud detection algorithms is key for reducing these losses, and more …
The design of efficient fraud detection algorithms is key for reducing these losses, and more …
[کتاب][B] Encyclopedia of machine learning
This comprehensive encyclopedia, with over 250 entries in an AZ format, provides easy
access to relevant information for those seeking entry into any aspect within the broad field …
access to relevant information for those seeking entry into any aspect within the broad field …
From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews
Recommending products to consumers means not only understanding their tastes, but also
understanding their level of experience. For example, it would be a mistake to recommend …
understanding their level of experience. For example, it would be a mistake to recommend …