Modern Technologies for Big Data Classification and Clustering

Modern Technologies for Big Data Classification and Clustering

Author: Seetha, Hari

Publisher: IGI Global

ISBN: 9781522528067

Category: Computers

Page: 360

View: 144

Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.

Data Visualization

Data Visualization

Author: S. Margret Anouncia

Publisher: Springer Nature

ISBN: 9789811522826

Category: Computers

Page: 179

View: 477

This book discusses the recent trends and developments in the fields of information processing and information visualization. In view of the increasing amount of data, there is a need to develop visualization techniques to make that data easily understandable. Presenting such approaches from various disciplines, this book serves as a useful resource for graduates.

Innovative Supply Chain Management via Digitalization and Artificial Intelligence

Innovative Supply Chain Management via Digitalization and Artificial Intelligence

Author: Kumaresan Perumal

Publisher: Springer Nature

ISBN: 9789811902406

Category: Computers

Page: 207

View: 249

This book focuses on the impact of artificial intelligence (AI) and machine learning (ML) models on supply chain operations in industry 4.0. The chapters illustrate the AI and ML models for all functional areas of operations in SCM. The book also includes examples using ML models like handling supply-to-demand imbalances, triggering automated responses, and reinforcing customer relationships. It describes the evolution of blockchain technology coupled with the ability to automate business logic for the transparency of goods, infrastructure, products, and licenses in software. The book also includes case studies that provide a problem statement and industry overcome by applying ML and AI technologies. This book is suitable for undergraduates, postgraduates, industrial professionals, business executives, entrepreneurs, and freelancers to encourage practical learning on AI and ML algorithms in SCM 4.0. Additionally, this book will provide computer science and information system professionals with the latest technologies embedded in the corporate world.

Applied Social Network Analysis With R: Emerging Research and Opportunities

Applied Social Network Analysis With R: Emerging Research and Opportunities

Author: Gençer, Mehmet

Publisher: IGI Global

ISBN: 9781799819141

Category: Computers

Page: 284

View: 338

Understanding the social relations within the fields of business and economics is vital for the promotion of success within a certain organization. Analytics and statistics have taken a prominent role in marketing and management practices as professionals are constantly searching for a competitive advantage. Converging these technological tools with traditional methods of business relations is a trending area of research. Applied Social Network Analysis With R: Emerging Research and Opportunities is an essential reference source that materializes and analyzes the issue of structure in terms of its effects on human societies and the state of the individuals in these communities. Even though the theme of the book is business-oriented, an approach underlining and strengthening the ties of this field of study with social sciences for further development is adopted throughout. Therefore, the knowledge presented is valid for analyzing not only the organization of the business world but also for the organization of any given community. Featuring research on topics such as network visualization, graph theory, and micro-dynamics, this book is ideally designed for researchers, practitioners, business professionals, managers, programmers, academicians, and students seeking coverage on analyzing social and business networks using modern methods of statistics, programming, and data sets.

Proceedings of 2nd International Conference on Artificial Intelligence : Advances and Applications

Proceedings of 2nd International Conference on Artificial Intelligence : Advances and Applications

Author: Garima Mathur

Publisher: Springer Nature

ISBN: 9789811663321

Category: Artificial intelligence

Page: 850

View: 570

This book gathers outstanding research papers presented in the 2nd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2021), held in Poornima College of Engineering, Jaipur, India during 27-28 March 2021. This book covers research works carried out by various students such as bachelor, master and doctoral scholars, faculty and industry persons in the area of artificial intelligence, machine learning, deep learning applications in healthcare, agriculture, business, security, etc. It will also cover research in core concepts of computer networks, intelligent system design and deployment, real time systems, WSN, sensors and sensor nodes, SDN, NFV, etc.

Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities

Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities

Author: Usman, Muhammad

Publisher: IGI Global

ISBN: 9781522550303

Category: Computers

Page: 177

View: 427

Data analysis forms the basis of many modes of research ranging from scientific discoveries to governmental findings. With the advent of machine intelligence and neural networks, extracting and modeling, approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities provides emerging information on extraction and prediction patterns in data mining along with knowledge discovery. While highlighting the current issues in data extraction, readers will learn new methodologies comprising of different algorithms that automate the multidimensional schema that remove the manual processes. This book is a vital resource for researchers, academics, and those seeking new information on data mining techniques and trends.

Biotechnology: Concepts, Methodologies, Tools, and Applications

Biotechnology: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781522589044

Category: Science

Page: 2183

View: 107

Biotechnology can be defined as the manipulation of biological process, systems, and organisms in the production of various products. With applications in a number of fields such as biomedical, chemical, mechanical, and civil engineering, research on the development of biologically inspired materials is essential to further advancement. Biotechnology: Concepts, Methodologies, Tools, and Applications is a vital reference source for the latest research findings on the application of biotechnology in medicine, engineering, agriculture, food production, and other areas. It also examines the economic impacts of biotechnology use. Highlighting a range of topics such as pharmacogenomics, biomedical engineering, and bioinformatics, this multi-volume book is ideally designed for engineers, pharmacists, medical professionals, practitioners, academicians, and researchers interested in the applications of biotechnology.

Handbook of Research on Big Data Storage and Visualization Techniques

Handbook of Research on Big Data Storage and Visualization Techniques

Author: Segall, Richard S.

Publisher: IGI Global

ISBN: 9781522531432

Category: Computers

Page: 917

View: 568

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Information Systems in the Big Data Era

Information Systems in the Big Data Era

Author: Jan Mendling

Publisher: Springer

ISBN: 9783319929019

Category: Computers

Page: 270

View: 498

This book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2018 held in Tallinn, Estonia, as part of the 30th International Conference on Advanced Information Systems Engineering, CAiSE 2018, in June 2018. The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. This year’s theme was “Information Systems in the Big Data Era”. The 10 full and 12 short papers in this volume were carefully reviewed and selected from 17 direct submissions (of which 2 full and 7 short papers were selected), plus 13 transfers from the CAiSE main conference (which resulted in another 8 full and 5 short papers).

Privacy and Security Issues in Big Data

Privacy and Security Issues in Big Data

Author: Pradip Kumar Das

Publisher: Springer Nature

ISBN: 9789811610073

Category: Computers

Page: 211

View: 576

This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of “Business Intelligence”. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.

Emerging Trends in Cyber Ethics and Education

Emerging Trends in Cyber Ethics and Education

Author: Blackburn, Ashley

Publisher: IGI Global

ISBN: 9781522559344

Category: Education

Page: 307

View: 439

Cyber environments have become a fundamental part of educational institutions, causing a need for understanding the impact and general principles of ethical computer use in academia. With the rapid increase in the use of digital technologies in classrooms and workplaces worldwide, it is important that part of the training that takes place for students is how to be good cyber citizens, who are ethical in the decisions that they make and in their interactions with others across digital platforms. Emerging Trends in Cyber Ethics and Education is a pivotal reference source that provides vital research on the application of ethics and education within online environments. While highlighting topics such as computer simulation, corporate e-learning, and plagiarism detection, this publication explores effective ways of utilizing digital landscapes for online education, as well as the methods of improving cyber security frameworks. This book is ideally designed for educators, IT developers, education professionals, education administrators, researchers, and upper-level graduate students seeking current research on secure and educational interactions in digital landscapes.

Distributed and Parallel Architectures for Spatial Data

Distributed and Parallel Architectures for Spatial Data

Author: Alberto Belussi

Publisher: MDPI

ISBN: 9783039367504

Category: Technology & Engineering

Page: 170

View: 359

This book aims at promoting new and innovative studies, proposing new architectures or innovative evolutions of existing ones, and illustrating experiments on current technologies in order to improve the efficiency and effectiveness of distributed and cluster systems when they deal with spatiotemporal data.