Information Systems And Data Analysis
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Information Systems Engineering
Information systems belong to the most complex artifacts built in today's society. Developing, maintaining, and using an information system raises a large number of difficult problems, ranging from purely technical to organizational and social. ""Information Systems Engineering"" presents the most current research on existing and emergent trends on conceptual modeling and information systems engineering, bridging the gap between research and practice by providing a much-needed reference point on the design of software systems that evolve seamlessly to adapt to rapidly changing business and organizational practices.
Computational Intelligence and Big Data Analytics
This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.
Electronic Government and the Information Systems Perspective
This book constitutes the refereed proceedings of the 6th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2017, held in Lyon, France, in August 2017. The 20 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers areorganized in the following topical sections: digitalization and transparency; open data ecosystems; intelligent systems in e-government; e-government research and intelligent systems; m-government and inclusion; e-government cases - data knowledge management; and knowledge management in the context of e-government.