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These proceedings gather outstanding research papers presented at the Second International Conference on Data Engineering 2015 (DaEng-2015) and offer a consolidated overview of the latest developments in databases, information retrieval, data mining and knowledge management. The conference brought together researchers and practitioners from academia and industry to address key challenges in these fields, discuss advanced data engineering concepts and form new collaborations. The topics covered include but are not limited to: * Data engineering * Big data * Data and knowledge visualization * Data management * Data mining and warehousing * Data privacy & security * Database theory * Heterogeneous databases * Knowledge discovery in databases * Mobile, grid and cloud computing * Knowledge management * Parallel and distributed data * Temporal data * Web data, services and information engineering * Decision support systems * E-Business engineering and management * E-commerce and e-learning * Geographical information systems * Information management * Information quality and strategy * Information retrieval, integration and visualization * Information security * Information systems and technologies
Music is an expression of feelings of the soul conveyed through the medium of sound. But not all sounds are music. It might be said that only an organised sound or series of sounds can be called music. Thus, music is connected to the eternal and constant flow and order of the universe, to the laws and rhythms of nature. It can also be said that musical order is comparable to the natural order of the universe. There are laws of a certain nature in the natural sciences and likewise in music there are structures and procedures, or even rules, that should be followed to produce beautiful music. The International Conference "Innovations for 21st Century Music Education and Research" provided a timely opportunity to take stock of the latest developments in music education and brought together educators, researchers and members of the broader community in a welcoming forum in which they were able to express theoretical and practical views, concepts, research results and principles to help support the further development of music education.
Music is an expression of feelings of the soul conveyed through the medium of sound. But not all sounds are music. It might be said that only an organised sound or series of sounds can be called music. Thus, music is connected to the eternal and constant flow and order of the universe, to the laws and rhythms of nature. It can also be said that musical order is comparable to the natural order of the universe. There are laws of a certain nature in the natural sciences and likewise in music there are structures and procedures, or even rules, that should be followed to produce beautiful music. The International Conference "Innovations for 21st Century Music Education and Research" provided a timely opportunity to take stock of the latest developments in music education and brought together educators, researchers and members of the broader community in a welcoming forum in which they were able to express theoretical and practical views, concepts, research results and principles to help support the further development of music education.
Addressing the applications of computational intelligence algorithms in energy, this book presents a systematic procedure that illustrates the practical steps required for applying bio-inspired, meta-heuristic algorithms in energy, such as the prediction of oil consumption and other energy products. Contributions include research findings, projects, surveying work and industrial experiences that describe significant advances in the applications of computational intelligence algorithms in energy. For easy understanding, the text provides practical simulation results, convergence and learning curves as well as illustrations and tables. Providing a valuable resource for undergraduate and postgraduate students alike, it is also intended for researchers in the fields of computational intelligence and energy.
This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data. The book is based on the Soft Computing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th-20th 2016 to discuss the state of the art in soft computing techniques, and offer participants sufficient knowledge to tackle a wide range of complex systems. The scope of the conference is reflected in the book, which presents a balance of soft computing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem.
This book constitutes the refereed proceedings of the First International Conference on Soft Computing and Data Mining, SCDM 2014, held in Universiti Tun Hussein Onn Malaysia, in June 16th-18th, 2014. The 65 revised full papers presented in this book were carefully reviewed and selected from 145 submissions, and organized into two main topical sections; Data Mining and Soft Computing. The goal of this book is to provide both theoretical concepts and, especially, practical techniques on these exciting fields of soft computing and data mining, ready to be applied in real-world applications. The exchanges of views pertaining future research directions to be taken in this field and the resultant dissemination of the latest research findings makes this work of immense value to all those having an interest in the topics covered.
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