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A Review of Data Mining with Big Data towards Its Applications in the Electronics Industry
- Source :
- Applied Sciences, Vol 8, Iss 4, p 582 (2018)
- Publication Year :
- 2018
- Publisher :
- MDPI AG, 2018.
-
Abstract
- Data mining (DM) with Big Data has been widely used in the lifecycle of electronic products that range from the design and production stages to the service stage. A comprehensive analysis of DM with Big Data and a review of its application in the stages of its lifecycle will not only benefit researchers to develop strong research themes and identify gaps in the field but also help practitioners for DM application system development. In this paper, a brief clarification of DM-related topics is presented first. A flowchart of DM and the main content of the flowchart steps are given in which commonly used data preparation and preprocessing approaches, DM functions and techniques, and performances indicators are summarized. Then, a comprehensive review covering 105 articles from 2007 to 2017 on DM or Big Data applications in the electronics industry is provided according to the flowchart from various points of view such as data handling, applications of DM, or Big Data at different lifecycle stages, and the software used in the applications. On this basis, a diagram of data content for different knowledge areas and a framework for DM and Big Data applications in the electronics industry are established. Finally, conclusions and future research directions are given.
- Subjects :
- 0209 industrial biotechnology
Service (systems architecture)
Group method of data handling
Computer science
Big data
wafer
02 engineering and technology
computer.software_genre
lcsh:Technology
Field (computer science)
law.invention
lcsh:Chemistry
020901 industrial engineering & automation
Product lifecycle
Software
law
big data
0202 electrical engineering, electronic engineering, information engineering
Preprocessor
General Materials Science
product lifecycle management
print circuit board
Instrumentation
lcsh:QH301-705.5
Fluid Flow and Transfer Processes
Flowchart
knowledge discovery in databases
business.industry
lcsh:T
Process Chemistry and Technology
General Engineering
data mining
semiconductor
lcsh:QC1-999
Computer Science Applications
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
electronics industry
020201 artificial intelligence & image processing
Data mining
business
lcsh:Engineering (General). Civil engineering (General)
computer
lcsh:Physics
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 8
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....1b030541a4c80cabf7e675a1df638cfa