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Self-Adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network
Fong, Simon1; Fang, Charlie1; Tian, Neal1; Wong, raymond2; Yap, Bee Wah3
2016-05-19
Source PublicationBig Data Applications and Use Cases
PublisherSpringer, Cham
Pages175-196
Abstract

Big Data is being touted as the next big thing arousing technical challenges that confront both academic research communities and commercial IT deployment. The root sources of Big Data are founded on infinite data streams and the curse of dimensionality. It is generally known that data which are sourced from data streams accumulate continuously making traditional batch-based model induction algorithms infeasible for real-time data mining. In the past many methods have been proposed for incrementally data mining by modifying classical machine learning algorithms, such as artificial neural network. In this paper we propose an incremental learning process for supervised learning with parameters optimization by neural network over data stream. The process is coupled with a parameters optimization module which searches for the best combination of input parameters values based on a given segment of data stream. The drawback of the optimization is the heavy consumption of time. To relieve this limitation, a loss function is proposed to look ahead for the occurrence of concept-drift which is one of the main causes of performance deterioration in data mining model. Optimization is skipped intermittently along the way so to save computation costs. Computer simulation is conducted to confirm the merits by this incremental optimization process for neural network.

KeywordNeural Network Incremental Machine Learning Classification Big Data Parameter Optimization
DOIhttps://doi.org/10.1007/978-3-319-30146-4_8
URLView the original
Language英语
ISBN978-3-319-30146-4
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Document TypeBook chapter
专题Faculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Department of Computer and Information Science, University of Macau, Macau, SAR, China
2.School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia
3.Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Selangor, Malaysia
First Author AffilicationUniversity of Macau
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Fong, Simon,Fang, Charlie,Tian, Neal,et al. Self-Adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network:Springer, Cham,2016:175-196.
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