Ict And Data Sciences

Author : Archana Singh,Vinod Kumar Shukla,Ashish Seth,Sai Sabitha
Publisher : CRC Press
Page : 304 pages
File Size : 49,6 Mb
Release : 2022-05-15
Category : Computers
ISBN : 9781000550375

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ICT and Data Sciences by Archana Singh,Vinod Kumar Shukla,Ashish Seth,Sai Sabitha Pdf

This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems. ICT and Data Sciences brings together IoT and Machine Learning and provides the careful integration of both, along with many examples and case studies. It illustrates the merging of two technologies while presenting basic to high-level concepts covering different fields and domains such as the Hospitality and Tourism industry, Smart Clothing, Cyber Crime, Programming, Communications, Business Intelligence, all in the context of the Internet of Things. The book is written for researchers and practitioners, working in Information Communication Technology and Computer Science.

Author : Archana Singh,Vinod Kumar Shukla,Ashish Seth,Sai Sabitha
Publisher : CRC Press
Page : 294 pages
File Size : 48,8 Mb
Release : 2022-05-15
Category : Computers
ISBN : 9781000550344

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ICT and Data Sciences by Archana Singh,Vinod Kumar Shukla,Ashish Seth,Sai Sabitha Pdf

This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems. ICT and Data Sciences brings together IoT and Machine Learning and provides the careful integration of both, along with many examples and case studies. It illustrates the merging of two technologies while presenting basic to high-level concepts covering different fields and domains such as the Hospitality and Tourism industry, Smart Clothing, Cyber Crime, Programming, Communications, Business Intelligence, all in the context of the Internet of Things. The book is written for researchers and practitioners, working in Information Communication Technology and Computer Science.

Author : Patrick Mukosha
Publisher : Patrick Mukosha
Page : 0 pages
File Size : 44,9 Mb
Release : 2024-04-24
Category : Computers
ISBN : 9798224168415

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"Careers in Information Technology by Patrick Mukosha Pdf

In "Careers in Information Technology: Data Scientist," readers embark on a comprehensive journey into the dynamic world of data science. Authored by an experienced IT expert, this book serves as a roadmap for aspiring data scientists, offering valuable insights into the roles, responsibilities, and opportunities within the field. The book begins by introducing the fundamental concepts of data science, highlighting its significance in the IT industry and tracing its evolution over time. Readers gain a clear understanding of the role of a data scientist, including the essential skills and qualifications required to excel in this profession. Throughout the chapters, readers delve into the foundational aspects of data science, from statistical analysis and programming languages to data collection and preprocessing techniques. Practical guidance is provided on exploratory data analysis, visualization methods, and feature engineering, empowering readers to extract meaningful insights from complex datasets. The book explores various machine learning models, covering both supervised and unsupervised learning algorithms, along with advanced topics such as ensemble learning and deep neural networks. Real-world applications of data science are illuminated, showcasing its diverse uses across industries such as healthcare, marketing, manufacturing, and cybersecurity. In addition to technical skills, the book emphasizes the importance of soft skills and offers tips for success in the field, including networking strategies, staying updated on industry trends, and honing communication abilities. Readers gain valuable insights into career paths and opportunities, with guidance on career progression and continuing education. As the book concludes, readers are presented with a glimpse into the future of data science, exploring emerging trends, technological advancements, and the potential impact on society. With its comprehensive coverage and practical advice, "Careers in Information Technology: Data Scientist" equips readers with the knowledge and tools needed to embark on a rewarding and fulfilling career journey in data science.

Author : Andrea Scozzari,Steve Mounce,Dawei Han,Francesco Soldovieri,Dimitri Solomatine
Publisher : Springer Nature
Page : 342 pages
File Size : 47,5 Mb
Release : 2020-11-28
Category : Technology & Engineering
ISBN : 9783030619732

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ICT for Smart Water Systems: Measurements and Data Science by Andrea Scozzari,Steve Mounce,Dawei Han,Francesco Soldovieri,Dimitri Solomatine Pdf

Today, Information and Communication Technologies (ICT) have a pervasive presence in almost every aspect of the management of water. There is no question that the collection of big data from sensing and the insights gained by smart analytics can bring massive benefits. This book focuses on new perspectives for the monitoring, assessment and control of water systems, based on tools and concepts originating from the ICT sector. It presents a portrait of up-to-date sensing techniques for water, and introduces concepts and implications with the analysis of the acquired data. Particular attention is given to the advancements in developing novel devices and data processing approaches. The chapters guide the reader through multiple disciplinary contexts, without aiming to be exhaustive, but with the effort to present relevant topics in such a highly multi-disciplinary framework. This book will be of interest to advanced students, researchers and stakeholders at various levels.

Author : Ogunleye, Olalekan Samuel
Publisher : IGI Global
Page : 358 pages
File Size : 48,9 Mb
Release : 2024-03-27
Category : Political Science
ISBN : 9781668497180

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Machine Learning and Data Science Techniques for Effective Government Service Delivery by Ogunleye, Olalekan Samuel Pdf

In our data-rich era, extracting meaningful insights from the vast amount of information has become a crucial challenge, especially in government service delivery where informed decisions are paramount. Traditional approaches struggle with the enormity of data, highlighting the need for a new approach that integrates data science and machine learning. The book, Machine Learning and Data Science Techniques for Effective Government Service Delivery, becomes a vital resource in this transformation, offering a deep understanding of these technologies and their applications. Within the complex landscape of modern governance, this book stands as a solution-oriented guide. Recognizing data's value in the 21st century, it navigates the world of data science and machine learning, enhancing the mechanics of government service. By addressing citizens' evolving needs, these advanced methods counter inefficiencies in traditional systems. Tailored for experts across technology, academia, and government, the book bridges theory and practicality. Covering foundational concepts and innovative applications, it explores the potential of data-driven decision-making for a more efficient and citizen-centric government future.

Author : Hiram Ponce,Jorge Brieva,Octavio Lozada,Lourdes Martínez-Villaseñor,Ernesto Moya-Albor
Publisher : Springer
Page : 0 pages
File Size : 52,8 Mb
Release : 2024-04-28
Category : Computers
ISBN : 3031542762

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Data-Driven Innovation for Intelligent Technology by Hiram Ponce,Jorge Brieva,Octavio Lozada,Lourdes Martínez-Villaseñor,Ernesto Moya-Albor Pdf

​ This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value. It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others. This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.

Author : Brajendra Panda,Sudeep Sharma,Nihar Ranjan Roy
Publisher : Springer
Page : 656 pages
File Size : 43,6 Mb
Release : 2018-03-07
Category : Computers
ISBN : 9789811085277

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Data Science and Analytics by Brajendra Panda,Sudeep Sharma,Nihar Ranjan Roy Pdf

This book constitutes the refereed proceedings of the 4th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2017, held in Gurgaon, India, in October 2017. The 66 revised full papers presented were carefully reviewed and selected from 329 submissions. The papers are organized in topical sections on big data analysis, data centric programming, next generation computing, social and web analytics, security in data science analytics.

Author : Juan J. Cuadrado-Gallego,Yuri Demchenko
Publisher : Springer Nature
Page : 194 pages
File Size : 45,7 Mb
Release : 2020-10-01
Category : Computers
ISBN : 9783030510237

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The Data Science Framework by Juan J. Cuadrado-Gallego,Yuri Demchenko Pdf

This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader. The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used to develop new courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.

Author : Peter Haber,Thomas Lampoltshammer,Manfred Mayr
Publisher : Springer-Verlag
Page : 103 pages
File Size : 41,8 Mb
Release : 2019-10-09
Category : Computers
ISBN : 9783658274955

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Data Science – Analytics and Applications by Peter Haber,Thomas Lampoltshammer,Manfred Mayr Pdf

This book offers the proceedings of the Second International Data Science Conference (iDSC2019), organized by Salzburg University of Applied Sciences, Austria. The Conference brought together researchers, scientists, and business experts to discuss new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The papers gathered here include case studies of applied techniques, and theoretical papers that push the field into the future. The full-length scientific-track papers on Data Analytics are broadly grouped by category, including Complexity; NLP and Semantics; Modelling; and Comprehensibility. Included among real-world applications of data science are papers on Exploring insider trading using hypernetworks Data-driven approach to detection of autism spectrum disorder Anonymization and sentiment analysis of Twitter posts Theoretical papers in the book cover such topics as Optimal Regression Tree Models Through Mixed Integer Programming; Chance Influence in Datasets with Large Number of Features; Adversarial Networks — A Technology for Image Augmentation; and Optimal Regression Tree Models Through Mixed Integer Programming. Five shorter student-track papers are also published here, on topics such as State-of-the-art Deep Learning Methods to effect Neural Machine Translation from Natural Language into SQL A Smart Recommendation System to Simplify Projecting for a HMI/SCADA Platform Use of Adversarial Networks as a Technology for Image Augmentation Using Supervised Learning to Predict the Reliability of a Welding Process The work collected in this volume of proceedings will provide researchers and practitioners with a detailed snapshot of current progress in the field of data science. Moreover, it willstimulate new study, research, and the development of new applications.

Author : Hiram Ponce
Publisher : Springer Nature
Page : 255 pages
File Size : 42,6 Mb
Release : 2024-06-19
Category : Electronic
ISBN : 9783031542770

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Data-Driven Innovation for Intelligent Technology by Hiram Ponce Pdf

Author : Pallavi Vijay Chavan,Parikshit N Mahalle,Ramchandra Mangrulkar,Idongesit Williams
Publisher : CRC Press
Page : 322 pages
File Size : 54,8 Mb
Release : 2022-08-15
Category : Computers
ISBN : 9781000613421

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Data Science by Pallavi Vijay Chavan,Parikshit N Mahalle,Ramchandra Mangrulkar,Idongesit Williams Pdf

This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion on a wide range of applications of data science and widely used techniques in data science. Key Features • Provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science. • Presents predictive outcomes by applying data science techniques to real-life applications. • Provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. • Gives the reader a variety of intelligent applications that can be designed using data science and its allied fields. The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful.

Author : Kavita Taneja,Harmunish Taneja,Kuldeep Kumar,Arvind Selwal,Eng Lieh Ouh
Publisher : CRC Press
Page : 382 pages
File Size : 46,9 Mb
Release : 2021-10-01
Category : Technology & Engineering
ISBN : 9781000456158

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Data Science and Innovations for Intelligent Systems by Kavita Taneja,Harmunish Taneja,Kuldeep Kumar,Arvind Selwal,Eng Lieh Ouh Pdf

Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era. This book will be useful for the research community, start-up entrepreneurs, academicians, and data centered industries and professors that are interested in exploring innovations in varied applications and areas of data science.

Author : Heru Susanto,Fang-Yie Leu,Chin Kang Chen
Publisher : CRC Press
Page : 261 pages
File Size : 44,7 Mb
Release : 2019-03-29
Category : Business & Economics
ISBN : 9781351241236

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The Emerging Technology of Big Data by Heru Susanto,Fang-Yie Leu,Chin Kang Chen Pdf

Big Data is now highly regarded and accepted as a useful tool to help organizations manage their data and information effectively and efficiently. This new volume, The Emerging Technology of Big Data: Its Impact as a Tool for ICT Development, looks at the new technology that has emerged to meet the growing need and demand and studies the impact of Big Data in several areas of today’s society, including social media, business process re-engineering, science, e-learning, higher education, business intelligence, and green computing. In today’s modern society, information system (IS) through Big Data contributes to the success of organizations because it provides a solid foundation for increasing both efficiency and productivity. Many business organizations and educational institutions realize that compliance with Big Data will affect their prospects for success. Everyday, the amount of data collected from digital tools grows tremendously. As the amount of data increases, the use of IS becomes more and more essential. The book looks at how large datasets and analytics have slowly crept into the world of education and discusses methods of teaching and learning and the collection of student-learning data. The final chapter of the book considers the environmental impacts of ICT and emphasizes green ICT awareness as a corporate strategy through information systems. The global ICT industry accounts for approximately 2 percent of global carbon dioxide (CO2) emissions, and the manufacture, shipping, and disposal of ICT equipment also contributes environmentally. This chapter addresses these issues. The information provided here will be valuable information for education professionals, businesses, faculty, scientists and researchers, and others.

Author : Bhatt, Chintan,Sajja, Priti Srinivas,Liyanage, Sidath
Publisher : IGI Global
Page : 166 pages
File Size : 41,5 Mb
Release : 2019-08-02
Category : Education
ISBN : 9781799800125

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Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities by Bhatt, Chintan,Sajja, Priti Srinivas,Liyanage, Sidath Pdf

Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science techniques to manage educational data, the safekeeping, delivery, and use of knowledge can be increased for better quality education. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data mining and management techniques that promote the improvement and optimization of educational data systems. The book intends to provide new models, platforms, tools, and protocols in data science for educational data analysis and introduces innovative hybrid system models dedicated to data science. Including topics such as automatic assessment, educational analytics, and machine learning, this book is essential for IT specialists, data analysts, computer engineers, education professionals, administrators, policymakers, researchers, academicians, and technology experts.

Author : Jinan Fiaidhi,Debnath Bhattacharyya,N. Thirupathi Rao
Publisher : Springer Nature
Page : 318 pages
File Size : 41,7 Mb
Release : 2020-03-30
Category : Technology & Engineering
ISBN : 9789811524073

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Smart Technologies in Data Science and Communication by Jinan Fiaidhi,Debnath Bhattacharyya,N. Thirupathi Rao Pdf

This book features high-quality, peer-reviewed research papers presented at the International Conference on Smart Technologies in Data Science and Communication (Smart-DSC 2019), held at Vignan’s Institute of Information Technology (Autonomous), Visakhapatnam, Andhra Pradesh, India on 13–14 December 2019. It includes innovative and novel contributions in the areas of data analytics, communication and soft computing.