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Data Management, Analytics and Innovation

Data Management, Analytics and Innovation
Author: Neha Sharma
Publisher: Springer Nature
Total Pages: 740
Release: 2019-10-24
Genre: Technology & Engineering
ISBN: 9813299495

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This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.


Data Management, Analytics and Innovation

Data Management, Analytics and Innovation
Author: Neha Sharma
Publisher: Springer Nature
Total Pages: 530
Release: 2021-09-19
Genre: Technology & Engineering
ISBN: 9811629374

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This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.


Data Management, Analytics and Innovation

Data Management, Analytics and Innovation
Author: Valentina Emilia Balas
Publisher: Springer
Total Pages: 504
Release: 2018-08-09
Genre: Technology & Engineering
ISBN: 9811314020

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The book presents the latest, high-quality, technical contributions and research findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It discusses state-of-the-art topics as well as the challenges and solutions for future development. It includes original and previously unpublished international research work highlighting research domains from different perspectives. This book is mainly intended for researchers and practitioners in academia and industry.


Data Management, Analytics and Innovation

Data Management, Analytics and Innovation
Author: Neha Sharma
Publisher: Springer Nature
Total Pages: 454
Release: 2020-09-18
Genre: Technology & Engineering
ISBN: 9811556199

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This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.


Data Analytics in Marketing, Entrepreneurship, and Innovation

Data Analytics in Marketing, Entrepreneurship, and Innovation
Author: Mounir Kehal
Publisher: CRC Press
Total Pages: 193
Release: 2021-01-12
Genre: Business & Economics
ISBN: 0429591683

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Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at: Business analytics Applying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship Disruptive versus incremental innovation The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.


Data Management, Analytics and Innovation

Data Management, Analytics and Innovation
Author: Neha Sharma
Publisher: Springer Nature
Total Pages: 494
Release: 2019-09-24
Genre: Technology & Engineering
ISBN: 9811393648

Download Data Management, Analytics and Innovation Book in PDF, ePub and Kindle

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.


Data Management, Analytics and Innovation

Data Management, Analytics and Innovation
Author: Saptarsi Goswami
Publisher: Springer Nature
Total Pages: 717
Release: 2022-09-21
Genre: Computers
ISBN: 981192600X

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This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 14–16, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.


Data Management, Analytics and Innovation

Data Management, Analytics and Innovation
Author: Valentina Emilia Balas
Publisher:
Total Pages:
Release: 2019
Genre: COMPUTERS
ISBN: 9789811312755

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The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art topics and provides challenges and solutions for future development. Original, unpublished research work highlighting specific research domains from all viewpoints are contributed from scientists throughout the globe. This volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry.


Data Management, Analytics and Innovation

Data Management, Analytics and Innovation
Author: Neha Sharma
Publisher: Springer Nature
Total Pages: 460
Release: 2021-08-04
Genre: Technology & Engineering
ISBN: 981162934X

Download Data Management, Analytics and Innovation Book in PDF, ePub and Kindle

This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.


Data Management, Analytics and Innovation

Data Management, Analytics and Innovation
Author: Neha Sharma
Publisher: Springer Nature
Total Pages: 476
Release: 2020-08-18
Genre: Technology & Engineering
ISBN: 9811556164

Download Data Management, Analytics and Innovation Book in PDF, ePub and Kindle

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.