Advances In Data Science Methodologies And Applications
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Advances In Data Science Methodologies And Applications
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Author : Gloria Phillips-Wren
language : en
Publisher: Springer Nature
Release Date : 2020-08-26
Advances In Data Science Methodologies And Applications written by Gloria Phillips-Wren and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-26 with Technology & Engineering categories.
Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.
Advanced Methods In Statistics Data Science And Related Applications
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Author : Matilde Bini
language : en
Publisher: Springer Nature
Release Date : 2024-10-16
Advanced Methods In Statistics Data Science And Related Applications written by Matilde Bini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Computers categories.
This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific community of Italian statistics, which gathers around the SIS, is paying particular attention to the development of statistical techniques increasingly oriented toward the processing of large data, mainly, of complex data. The main goal is to provide the analysis of the data and the interpretability of the obtained results, with a view to decision support and the reliability of the data outcomes. The aim of this volume is to show some of the most relevant contributions of statistical and data analysis methods in preserving the quality of the information to be processed, especially when it comes from different, often non-official sources; as well as in the extraction of knowledge from complex data (textual, network, unstructured and multivalue) and in the explicability of results. Data Science today represents a broad domain of knowledge development from data, where statistical and data analysis methods can make an important contribution in the different domains where data management and processing are required. This volume is addressed to researchers but also to Ph.D. and MSc students in the field of Statistics and Data Science to acquaint them with some of the most recent developments towards which statistical research is orienting, in prevalence in Italy.
Advanced Mathematical Applications In Data Science
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Author : Biswadip Basu Mallik
language : en
Publisher: Bentham Science Publishers
Release Date : 2023-08-24
Advanced Mathematical Applications In Data Science written by Biswadip Basu Mallik and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-24 with Computers categories.
Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses. Key Features: Comprehensive coverage of advanced mathematical concepts and techniques in data science Contributions from established scientists, researchers, and academicians Real-world case studies and practical applications of mathematical methods Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence Scholarly references for each chapter Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.
Data Science For Economics And Finance
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Author : Sergio Consoli
language : en
Publisher: Springer Nature
Release Date : 2021-06-09
Data Science For Economics And Finance written by Sergio Consoli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-09 with Computers categories.
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Handbook Of Research On Advanced Data Mining Techniques And Applications For Business Intelligence
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Author : Trivedi, Shrawan Kumar
language : en
Publisher: IGI Global
Release Date : 2017-02-14
Handbook Of Research On Advanced Data Mining Techniques And Applications For Business Intelligence written by Trivedi, Shrawan Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-14 with Computers categories.
The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.
Advanced Interdisciplinary Applications Of Machine Learning Python Libraries For Data Science
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Author : Biju, Soly Mathew
language : en
Publisher: IGI Global
Release Date : 2023-09-13
Advanced Interdisciplinary Applications Of Machine Learning Python Libraries For Data Science written by Biju, Soly Mathew and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-13 with Computers categories.
The world is approaching a point where big data will start to play a beneficial role in many industries and organizations. Today, analyzing data for new insights has become an everyday norm, increasing the need for data analysts to use efficient and appropriate tools to provide quick and valuable results to clients. Existing research in the field currently lacks a full coverage of all essential algorithms, leaving a knowledge void for practical implementation and code in Python with all needed libraries and links to datasets used. Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science serves as a one-stop book to help emerging data scientists gain hands-on skills needed through real-world data and completely up-to-date Python code. It covers all the technical details, from installing the needed software to importing libraries and using the latest data sets; deciding on the right model; training, testing, and evaluating the model; and including NumPy, Pandas, and matplotlib. With coverage on various machine learning algorithms like regression, linear and logical regression, classification, support vector machine (SVM), clustering, k-nearest neighbor, market basket analysis, Apriori, k-means clustering, and visualization using Seaborne, it is designed for academic researchers, undergraduate students, postgraduate students, executive education program leaders, and practitioners.
Data Realm
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Author : Kalyanasundaram K
language : en
Publisher: Kalyanasundaram K
Release Date :
Data Realm written by Kalyanasundaram K and has been published by Kalyanasundaram K this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Mastering Data Science: Advanced Techniques and Practical Applications" is a comprehensive guide that takes readers on a journey through the intricate realms of data science, from foundational principles to cutting-edge applications. This book is designed for aspiring data scientists, seasoned practitioners, and anyone keen on mastering the intricacies of the data-driven landscape. Starting with an introduction to the core concepts of data science, readers embark on a learning adventure that encompasses statistical analysis, machine learning, and advanced modeling techniques. The book goes beyond traditional data science approaches, exploring topics such as hyperparameter tuning, transfer learning, and Bayesian methods. Each chapter is crafted to deepen the reader's understanding of complex data science methodologies, providing practical insights and hands-on guidance. The latter part of the book delves into the practical side of data science with real-world applications, including two hands-on projects: Advanced Image Classification with Transfer Learning and Time Series Forecasting with Advanced Models. These projects serve as immersive experiences, allowing readers to apply the acquired knowledge in solving tangible problems. Throughout the journey, ethical considerations in data science are emphasized, ensuring that readers not only gain technical proficiency but also develop a strong sense of responsibility in handling data and making informed decisions. "Mastering Data Science" is not just a guide; it's a companion for those looking to elevate their data science skills and thrive in a rapidly evolving field. Whether you are a seasoned professional or a newcomer to data science, this book equips you with the tools and insights needed to master the advanced techniques and practical applications that define the future of data science.
Advances In Sports Science And Technology
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Author : D. Prasanna Balaji
language : en
Publisher: CRC Press
Release Date : 2025-04-29
Advances In Sports Science And Technology written by D. Prasanna Balaji and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Technology & Engineering categories.
It focused on the strategies, challenges and choices in the renaissance of modern sports. It brought together scientists, sports persons, decision makers and executives from across the globe to share research approaches, methods and results. It analyzed ways for implementing adaptable and observable improvement which have direct impact on sports.
Advanced Research Methodology Innovative Approaches And Applications
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Author : Dr. Subash Chandra Sahu
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-09-18
Advanced Research Methodology Innovative Approaches And Applications written by Dr. Subash Chandra Sahu and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Study Aids categories.
“Advanced Research Methodology: Innovative Approaches and Applications” is a comprehensive guide designed to address the evolving needs of researchers in various disciplines. This book bridges the gap between traditional methodologies and cutting-edge practices, offering a well-rounded perspective on advanced research techniques. The text covers a wide array of topics, including experimental and non-experimental designs, data collection methods, and data analysis techniques. Special emphasis is placed on the integration of technology and innovative tools that enhance research quality and efficiency. Each chapter is meticulously crafted to provide not only theoretical foundations but also practical applications that researchers can implement in their work. Furthermore, this book highlights the importance of ethical considerations, collaboration, and adaptability in research practices. By examining real-world case studies and emerging trends, readers will gain insights into how to effectively address contemporary challenges in research methodology. Ultimately, this book aims to empower researchers with the skills and knowledge necessary to conduct high-quality, impactful research in an increasingly complex world.
Environmental Information Systems Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2018-09-07
Environmental Information Systems Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-07 with Technology & Engineering categories.
This three-volume publication is an IGI Global Core Reference for 2019 as it provides over 75 chapters containing the latest research on information systems, remote sensing, and geographic information science that is utilized for the management of environmental data. Bringing together the international perspectives of researchers in the U.S., Australia, China, Canada, Italy, and more, this title is an ideal reference for engineers, data scientists, practitioners, academicians, and researchers interested solving conceptual, methodological, technical, and managerial issues within Environmental Information Systems. Environmental Information Systems: Concepts, Methodologies, Tools, and Applications is an innovative reference source containing the latest research on the use of information systems to track and organize environmental data for use in an overall environmental management system. Highlighting a range of topics such as environmental analysis, remote sensing, and geographic information science, this multi-volume book is designed for engineers, data scientists, practitioners, academicians, and researchers interested in all aspects of environmental information systems.