Deep Learning Techniques and Optimization Strategies in Big Data Analytics (Advances in Systems Analysis, Software Engineering, and High Performance) - Image 1

£197.49

Engineering Science Reference Deep Learning Techniques and Optimization Strategies in Big Data Analytics (Advances in Systems Analysis, Software Engineering, and High Performance)

Name: Deep Learning Techniques and Optimization Strategies in Big Data Analytics (Advances in Systems Analysis, Software Engineering, and High Performance)
Brand: Engineering Science Reference
Price: 197.49 GBP
Availability: InStock

Architecture & Microprocessors

This is the usual price. Wait for it to drop, or tell us your number.

£197 today · usual range £0–£0 · best ever £92

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 618 days • 618 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 618 days • 3 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £158-180 (342 days, 55.3%)

Price range: £92 - £202

Price levels: 3 price ranges over 618 days

Description

Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry. About the Author Pinar Karagoz received her PhD. degree from Middle East Technical University (METU), Computer Engineering Department, in 2003. She worked as a visiting researcher in State University of New York (SUNY) at Stony Brook. Her research interests include data mining, web usage mining, social network analysis, information extraction from the web, semantic web services, web service discovery and composition. Dr. Karagoz has authored several publications in international journals and leading conferences. Some of her papers were published in journals such as IEEE TKDE, IEEE Industrial Informatics, ACM TWEB, Information Systems Journal, SIGMOD Record, Knowledge and Information Systems and her research were presented and published in conferences including VLDB, CIKM, ASONAM, DAWAK, ICWS. In addition to nationally funded research projects, she took part in two international collaboration projects. Recently she served in the management commitee of the COST Action ENERGIC (European Network Exploring Research into Geospatial Information Crowdsourcing). Dr. Pandian Vasant is a senior lecturer at Department of Fundamental and Applied Sciences, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS in Malaysia. He holds PhD (UNEM, Costa Rica) in Computational Intelligence, MSc (UMS, Malaysia, Engineering Mathematics) and BSc (2nd Class Upper- Hons, UM, Malaysia) in Mathematics. His research interests include Soft Computing, Hybrid Optimization, Holistic Optimization, Innovative Computing and Applications. He has co-authored research papers and articles in national journals, international journals, conference proceedings, conference paper presentation, and special issues lead guest editor, lead guest editor for book chapters' project, conference abstracts, edited books , keynote lecture and book chapters (175 publications indexed in SCOPUS). In the year 2009, Dr. Pandian Vasant was awarded top reviewer for the journal Applied Soft Computing (Elsevier) and awarded outstanding reviewer in the year 2015 for ASOC (Elsevier) journal. He has 26 years of working experience at the various universities from 1989-2017. Currently he is Editor-in-Chief of IJCO, IJSIEC, IEM, IJEOE and Editor of GJTO.

Product Specifications

Brand: Engineering Science Reference
Format: paperback
ASIN: 179981193X
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 29 November 2019
Listed Since: 02 September 2019

Barcode

No barcode data available

Engineering Science Reference Deep Learning Techniques and Optimization Strategies in Big Data Analytics (Advances in Systems Analysis, Software Engineering, and High Performance)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Handbook of Research on Renewable Energy and Electric Resources for Sustainable Rural Development (Advances in Environmental Engineering and Green Technologies)

Recent Developments in Intelligent Nature-Inspired Computing (Advances in Computational Intelligence and Robotics)

Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach

Cognitive Computing Using Green Technologies: Modeling Techniques and Applications (Green Engineering and Technology)

Disruptive Trends in Computer Aided Diagnosis (Chapman & Hall/CRC Computational Intelligence and Its Applications)

Computational Intelligence and Optimization Methods for Control Engineering: 150 (Springer Optimization and Its Applications, 150)

Machine Learning and Information Processing: Proceedings of ICMLIP 2019: 1101 (Advances in Intelligent Systems and Computing, 1101)

Advances in Smart Vehicular Technology, Transportation, Communication and Applications: Proceeding of the Third International Conference on VTCA, ... Innovation, Systems and Technologies, 226)

Evolutionary Computing and Mobile Sustainable Networks: Proceedings of ICECMSN 2020: 53 (Lecture Notes on Data Engineering and Communications Technologies, 53)

Internet of Things and Analytics for Agriculture, Volume 2: 67 (Studies in Big Data, 67)

Intelligent Computing in Control and Communication: Proceeding of the First International Conference on Intelligent Computing in Control and ... Notes in Electrical Engineering, 702)

Computational Intelligence and Its Applications in Healthcare

Green Computing and Predictive Analytics for Healthcare

AI-Based Services for Smart Cities and Urban Infrastructure

Proceedings of Fourth International Conference on Soft Computing for Problem Solving: SocProS 2014, Volume 2: 336 (Advances in Intelligent Systems and Computing, 336)

Learning Approaches in Signal Processing (Jenny Stanford Series on Digital Signal Processing)

SOCIAL JUSTICE EMPOWERMENT OF DISADVANTA: Policies & Programmes

Communication and Intelligent Systems: Proceedings of ICCIS 2019: 120 (Lecture Notes in Networks and Systems, 120)

Cunning Machines: Your Pocket Guide to the World of Artificial Intelligence (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)

Internet of Things and Analytics for Agriculture, Volume 2: 67 (Studies in Big Data, 67)

Proceedings of Fourth International Conference on Soft Computing for Problem Solving: SocProS 2014, Volume 1: 335 (Advances in Intelligent Systems and Computing, 335)

ICT Analysis and Applications: Proceedings of ICT4SD 2020, Volume 2: 154 (Lecture Notes in Networks and Systems, 154)

Algorithms in Machine Learning Paradigms: 870 (Studies in Computational Intelligence, 870)

Soft-Computing-Based Nonlinear Control Systems Design (Advances in Computer and Electrical Engineering)