Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications


Book Description

With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.




Big Data Analytics for Smart and Connected Cities


Book Description

To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities. Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research on the application of the integration of interconnected technologies and big data analytics into the creation of smart cities. While highlighting topics such as energy conservation, public transit planning, and performance measurement, this publication explores technology integration in urban environments as well as the methods of planning cities to implement these new technologies. This book is ideally designed for engineers, professionals, researchers, and technology developers seeking current research on technology implementation in urban settings.




Data Management, Analytics and Innovation


Book Description

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.




Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)


Book Description

This is an open access book. In the current situation of rapid economic development, the competition in the market is increasingly fierce. The drawbacks of traditional enterprise management and the backward management concept have seriously hindered the normal development of enterprises. In order to improve their competitive advantages and market share, enterprises must optimize their management methods and build a modern business administration system. In this situation, enterprises can only promote their development process by improving their business management mode and formulating scientific business management policies. Data science is one of the most important tools for optimizing business administration. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract value from data. Data scientists use a combination of skills (including statistics, computer science and business knowledge) to analyze data collected from the Web, smartphones, customers, sensors and other sources. Data is the cornerstone of innovation, and data scientists gather information from data, discovering hidden trends from raw data and generating insights that companies can use to transform business problems into research projects that can then be translated back into practical solutions. Based on this, BADS 2023 discusses the state of modern business administration and the corresponding improvement measures in the context of the current reality, and It also provides a platform for scholars in related fields to exchange and share information, discuss how the two affect each other, and promote the modernization of business administration by studying certain business administration issues. To open new perspectives, broaden horizons, and examine the issues being discussed by the participants. Create an international-level forum for sharing, research and exchange that will expose participants to the latest research directions, results and content in different fields, thus inspiring them to come up with new research ideas.




Handbook of IoT and Big Data


Book Description

This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the information into one resource. The book is divided into 4 sections that covers IoT and technologies, the future of Big Data, algorithms, and case studies showing IoT and Big Data in various fields such as health care, manufacturing and automation. Features Focuses on the latest workings of IoT and Big Data Discusses the emerging role of technologies and the fast-growing market of Big Data Covers the movement toward automation with hardware, software, and sensors, and trying to save on energy resources Offers the latest technology on IoT Presents the future horizons on Big Data




Innovation in the University 4.0 System based on Smart Technologies


Book Description

This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms. The book: presents an empirical analysis of the impact of information technology in the education system discusses student performance in university 4.0 using novel artificial intelligence algorithm with whale optimization elaborates the management of higher education based on information technology in the university 4.0 era explains the implementation of university 4.0 based on artificial intelligence focuses on the transformation of education system using artificial intelligence The text is primarily written for graduate students, postgraduate students, and academic researchers working in the fields of computer science and engineering, information technology and machine learning.