Big Data Analytics Techniques for Market Intelligence

Big Data Analytics Techniques for Market Intelligence PDF Author: Darwish, Dina
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 536

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Book Description
The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.

Big Data Analytics Techniques for Market Intelligence

Big Data Analytics Techniques for Market Intelligence PDF Author: Darwish, Dina
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 536

Get Book Here

Book Description
The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.

Asia Pacific Advanced Network

Asia Pacific Advanced Network PDF Author: Damayanthi Herath
Publisher: Springer Nature
ISBN: 3031511352
Category : Computers
Languages : en
Pages : 149

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Book Description
This book constitutes the refereed proceedings of the 56th International Conference on Asia Pacific Advanced Network, APANConf 2023, held in, Colombo, Sri Lanka,during August 24–25, 2023. The 10 full papers and 1 short papers included in this book were carefully reviewed andselected from 37 submissions. They are organized in topical sections as follows: artificial intelligence and machine learning, accelerated computing and distributed systems and communications and networking.

Generative Intelligence and Intelligent Tutoring Systems

Generative Intelligence and Intelligent Tutoring Systems PDF Author: Angelo Sifaleras
Publisher: Springer Nature
ISBN: 3031630319
Category :
Languages : en
Pages : 330

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Book Description


Big Data, Cloud Computing, and Data Science Engineering

Big Data, Cloud Computing, and Data Science Engineering PDF Author: Roger Lee
Publisher: Springer
ISBN: 9783031196072
Category : Computers
Languages : en
Pages : 0

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Book Description
This book presents scientific results of the 7th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2021) which was held on August 4-6, 2022 in Danang, Vietnam. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. All aspects (theory, applications, and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here in the results of the articles featured in this book. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 15 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.

2021 IEEE ACIS 6th International Conference on Big Data, Cloud Computing, and Data Science (BCD)

2021 IEEE ACIS 6th International Conference on Big Data, Cloud Computing, and Data Science (BCD) PDF Author: IEEE Staff
Publisher:
ISBN: 9781728176826
Category :
Languages : en
Pages :

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Book Description
The 6th International Conference on Big Data, Cloud Computing, and Data Science (BCD 2021) brings together researchers, scientists, engineers, industry practitioners, and students to discuss, encourage and exchange new ideas, research results, and experiences on all aspects of Big Data, Cloud Computing, and Data Science

Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges

Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges PDF Author: V. Vijayakumar
Publisher: Springer Nature
ISBN: 9813298898
Category : Computers
Languages : en
Pages : 190

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Book Description
The book presents papers from the 6th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2019), held at the University of Missouri, Kansas City, USA, on September 9 and 10, 2019 and organized in collaboration with VIT Chennai. The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on how to address the current challenges in the field. As such it is a valuable reference resource for researchers and practitioners in academia and industry.

Big Data, Cloud Computing, Data Science & Engineering

Big Data, Cloud Computing, Data Science & Engineering PDF Author: Roger Lee
Publisher: Springer
ISBN: 3319968033
Category : Technology & Engineering
Languages : en
Pages : 196

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Book Description
This book presents the outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2018), which was held on July 10–12, 2018 in Kanazawa. The aim of the conference was to bring together researchers and scientists, businesspeople and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science, to share their experiences, and to exchange new ideas and information in a meaningful way. All aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here. The conference organizers selected the best papers from among those accepted for presentation. The papers were chosen on the basis of review scores submitted by members of the program committee and subsequently underwent further rigorous review. Following this second round of review, 13 of the conference’s most promising papers were selected for this Springer (SCI) book. We eagerly await the important contributions that we know these authors will make to the field of computer and information science.

Expert Clouds and Applications

Expert Clouds and Applications PDF Author: I. Jeena Jacob
Publisher: Springer Nature
ISBN: 9811621268
Category : Technology & Engineering
Languages : en
Pages : 703

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Book Description
This book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2021), organized by GITAM School of Technology, Bangalore, India during February 18–19, 2021. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies.

Intelligent and Cloud Computing

Intelligent and Cloud Computing PDF Author: Debahuti Mishra
Publisher: Springer Nature
ISBN: 9811562024
Category : Technology & Engineering
Languages : en
Pages : 676

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Book Description
This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on December 20, 2019. Including contributions on system and network design that can support existing and future applications and services, it covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.

2023 IEEE ACIS 8th International Conference on Big Data, Cloud Computing, and Data Science (BCD)

2023 IEEE ACIS 8th International Conference on Big Data, Cloud Computing, and Data Science (BCD) PDF Author: IEEE Staff
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
The 8th International Conference on Big Data, Cloud Computing, and Data Science (BCD 2023) brings together researchers, scientists, engineers, industry practitioners, and students to discuss, encourage and exchange new ideas, research results, and experiences on all aspects of Big Data, Cloud Computing, and Data Science