TY  - BOOK
AU  - Şen,Zekâi
ED  - SpringerLink (Online service)
TI  - Innovative Trend Methodologies in Science and Engineering
SN  - 9783319523385
AV  - TA703-705.4 
U1  - 624.151 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Geotechnical engineering
KW  - Statistics 
KW  - Artificial intelligence
KW  - Management
KW  - Industrial management
KW  - Geotechnical Engineering & Applied Earth Sciences
KW  - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
KW  - Statistical Theory and Methods
KW  - Statistics for Social Sciences, Humanities, Law
KW  - Artificial Intelligence
KW  - Innovation/Technology Management
N1  - Trend definition and analysis -- Trend in some disciplines -- Pros and cons of trend analysis -- Future research directions -- Purpose of this book; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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.
UR  - https://doi.org/10.1007/978-3-319-52338-5
ER  -