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Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends

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Release : 2011-12-31
Genre : Computers
Kind : eBook
Book Rating : 756/5 ( reviews)

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Book Synopsis Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends by : Taniar, David

Download or read book Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends written by Taniar, David. This book was released on 2011-12-31. Available in PDF, EPUB and Kindle. Book excerpt: "This book is an updated look at the state of technology in the field of data mining and analytics offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining"--Provided by publisher.

Complex Networks & Their Applications V

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Release : 2016-11-25
Genre : Technology & Engineering
Kind : eBook
Book Rating : 012/5 ( reviews)

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Book Synopsis Complex Networks & Their Applications V by : Hocine Cherifi

Download or read book Complex Networks & Their Applications V written by Hocine Cherifi. This book was released on 2016-11-25. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights cutting-edge research in the field of network science, offering scientists, researchers and graduate students a unique opportunity to catch up on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the fifth International Workshop on Complex Networks & their Applications (COMPLEX NETWORKS 2016), which took place in Milan during the last week of November 2016. The carefully selected papers are divided into 11 sections reflecting the diversity and richness of research areas in the field. More specifically, the following topics are covered: Network models; Network measures; Community structure; Network dynamics; Diffusion, epidemics and spreading processes; Resilience and control; Network visualization; Social and political networks; Networks in finance and economics; Biological and ecological networks; and Network analysis.

Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems

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Release : 2013-04-30
Genre : Computers
Kind : eBook
Book Rating : 474/5 ( reviews)

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Book Synopsis Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems by : Papajorgji, Petraq

Download or read book Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems written by Papajorgji, Petraq. This book was released on 2013-04-30. Available in PDF, EPUB and Kindle. Book excerpt: Many factors can impact large-scale enterprise management systems, and maintaining these systems can be a complicated and challenging process. Therefore, businesses can benefit from an assortment of models and management styles to track and collect data for processes. Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems supplies a wide array of research on the intersections of business modeling, information systems, and optimization techniques. These various business models and structuring methods are proposed to provide ideas, methods, and points of view for managers, practitioners, entrepreneurs, and researchers on how to improve business processes.

Advances in Data Science and Analytics

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Release : 2022-11-01
Genre : Computers
Kind : eBook
Book Rating : 800/5 ( reviews)

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Book Synopsis Advances in Data Science and Analytics by : M. Niranjanamurthy

Download or read book Advances in Data Science and Analytics written by M. Niranjanamurthy. This book was released on 2022-11-01. Available in PDF, EPUB and Kindle. Book excerpt: ADVANCES in DATA SCIENCE and ANALYTICS Presenting the concepts and advances of data science and analytics, this volume, written and edited by a global team of experts, also goes into the practical applications that can be utilized across multiple disciplines and industries, for both the engineer and the student, focusing on machining learning, big data, business intelligence, and analytics. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning, and big data. Data analytics software is a more focused version of this and can even be considered part of the larger process. Analytics is devoted to realizing actionable insights that can be applied immediately based on existing queries. For the purposes of this volume, data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. While a data scientist is expected to forecast the future based on past patterns, data analysts extract meaningful insights from various data sources. Although data mining and other related areas have been around for a few decades, data science and analytics are still quickly evolving, and the processes and technologies change, almost on a day-to-day basis. This volume provides an overview of some of the most important advances in these areas today, including practical coverage of the daily applications. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in these areas, this is a must-have for any library.

Data Science and Interdisciplinary Research: Recent Trends and Applications

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Release : 2023-09-27
Genre : Computers
Kind : eBook
Book Rating : 018/5 ( reviews)

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Book Synopsis Data Science and Interdisciplinary Research: Recent Trends and Applications by : Brojo Kishore Mishra

Download or read book Data Science and Interdisciplinary Research: Recent Trends and Applications written by Brojo Kishore Mishra. This book was released on 2023-09-27. Available in PDF, EPUB and Kindle. Book excerpt: Data Science and Interdisciplinary Research: Recent Trends and Applications is a compelling edited volume that offers a comprehensive exploration of the latest advancements in data science and interdisciplinary research. Through a collection of 10 insightful chapters, this book showcases diverse models of machine learning, communications, signal processing, and data analysis, illustrating their relevance in various fields. Key Themes: Advanced Rainfall Prediction: Presents a machine learning model designed to tackle the challenging task of predicting rainfall across multiple countries, showcasing its potential to enhance weather forecasting. Efficient Cloud Data Clustering: Explains a novel computational approach for clustering large-scale cloud data, addressing the scalability of cloud computing and data analysis. Secure In-Vehicle Communication: Explores the critical topic of secure communication in in-vehicle networks, emphasizing message authentication and data integrity. Smart Irrigation 4.0: Details a decision model designed for smart irrigation, integrating agricultural sensor data reliability analysis to optimize water usage in precision agriculture. Smart Electricity Monitoring: Highlights machine learning-based smart electricity monitoring and fault detection systems, contributing to the development of smart cities. Enhanced Learning Environments: Investigates the effectiveness of mobile learning in higher education, shedding light on the role of technology in shaping modern learning environments. Coastal Socio-Economy Study: Presents a case study on the socio-economic conditions of coastal fishing communities, offering insights into the livelihoods and challenges they face. Signal Noise Removal: Shows filtering techniques for removing noise from ECG signals, enhancing the accuracy of medical data analysis and diagnosis. Deep Learning in Biomedical Research: Explores deep learning techniques for biomedical research, particularly in the realm of gene identification using Next Generation Sequencing (NGS) data. Medical Diagnosis through Machine Learning: Concludes with a chapter on breast cancer detection using machine learning concepts, demonstrating the potential of AI-driven diagnostics.

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