Описание: Poor data quality is known to compromise the credibility and efficiency of public endeavours. The importance of managing data quality has increased manifold as the diversity of sources, formats and volume of data grows. This work targets the data quality in the light of collaborative information systems where ownership is difficult to establish.
Описание: This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Описание: 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.
Автор: Gupta Deepak, Polkowski Zdzislaw, Khanna Ashish Название: Proceedings of Data Analytics and Management: ICDAM 2021, Volume 2 ISBN: 9811662843 ISBN-13(EAN): 9789811662843 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks.
Описание: This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.
Описание: The 12 full papers presented together with 15 short papers in this volume were carefully reviewed and selected from a total of 71 submissions. The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense.
Описание: This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-21), held virtually on June 14-16, 2021. and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.
Описание: This book presents the proceedings of the ‘2nd International Conference on Advanced Surface Enhancement’, INCASE 2021. It comprehensively reviews the state-of-the-arts in surface engineering related techniques and strategies, towards industrialization. The topics include ‘Advances in Surface Engineering’, ‘Surface and sub-surface Characterisation’, ‘Surface Coatings’ and ‘Modeling and Simulation’. With the opportunities and challenges discussed, this book identifies the gaps between research and manufacturing. The innovative ideas presented promote technology adoption in industry, for the future of manufacturing.
Описание: This book gathers high-quality papers presented at International Conference on Science, Technology and Innovation for Society (CITIS 2021), held in Guayaquil, Ecuador, on May 26–28, 2021. This book will present the recent research trends in the fields of software engineering, big data analysis, cloud computing, data engineering, data management and data mining, machine learning, deep learning, artificial intelligence, smart systems, robotics and automation, mechatronic design, and industrial processes design.
To navigate the complex ecosystem of societal challenges, the International Conference on Knowledge Management Conference (ICKM 2017) focused on big data and data analytics as part of the relationship to the wider concept of knowledge management processes and practices.
This book includes top papers presenting the major, and diverse, topics discussed at the conference. The papers covered various aspects of big data ranging from enhancing access to the big data to facilitating its wide applications in healthcare, social media, library and information centers, governments, and corporations.
Описание: Comprehensive Guide to Implementation of Data Warehouse in Education.- Computational Biology Tool Towards Studying the Interaction Between Azadirachtin Plant Compound with Cervical Cancer Proteins.- Intelligent Agent Based Organization For Studying the Big Five Personality Traits.- Automatic Pruning of Rules Through Multi-Objective Optimization - A Case Study With a Multi-Objective Cultural Algorithm.- Knowledge Genesis And Dissemination: Impact On Performance In Information Technology Services.- Artificial Intelligence Based Load Balancing In Cloud Computing Environment: A Study.- Implementation of Statistical Data Analytics in Data Science Life Cycle.- A Big Data Analytics-Based Design for Viable Evolution of Retail Sector.- Document Content Analysis Based on Random Forest Algorithm.- Sensing The Prostatectomy in Neuroendocrine Metastatic Active Surveillance in Data Mining Techniques.- Work Load Forecasting Based On Big Data Characteristics In Cloud Systems.- Phrase Extraction Using Pattern Based Bootstrapping Approach.- IOT Based Trash Collection Bin Using Arduino.
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