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03751nam a22005535i 4500 |
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20210623193227.0 |
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|a 9783319523385
|9 978-3-319-52338-5
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|a 10.1007/978-3-319-52338-5
|2 doi
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|a 624.151
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|a Şen, Zekâi.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Innovative Trend Methodologies in Science and Engineering
|h [electronic resource] /
|c by Zekâi Şen.
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|a 1st ed. 2017.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a XIII, 349 p. 163 illus., 51 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Trend definition and analysis -- Trend in some disciplines -- Pros and cons of trend analysis -- Future research directions -- Purpose of this book.
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|a This book covers all types of literature on existing trend analysis approaches, but more than 60% of the methodologies are developed here and some of them are reflected to scientific literature and others are also innovative versions, modifications or improvements. The suggested methodologies help to design, develop, manage and deliver scientific applications and training to meet the needs of interested staff in companies, industries and universities including students. Technical content and expertise are also provided from different theoretical and especially active roles in the design, development and delivery of science in particular and economics and business in general. It is also ensured that, wherever possible and technically appropriate, priority is given to the inclusion and integration of real life data, examples and processes within the book content. The time seems right, because available books just focus on special sectors (fashion, social, business). This book reviews all the available trend approaches in the present literature on rational and logical bases. .
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|a Statistics .
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|a Artificial intelligence.
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|a Management.
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|a Industrial management.
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|a Geotechnical Engineering & Applied Earth Sciences.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/G37010
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|a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/S17020
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|a Statistical Theory and Methods.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/S11001
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|a Statistics for Social Sciences, Humanities, Law.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/S17040
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|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
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|a Innovation/Technology Management.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/518000
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319523378
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