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Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments. The needs for CCI techniques and tools have grown signi- cantly recently as many information systems work in distributed environments and use distributed resources. Web-based systems, social networks and multi-agent systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. Therefore, CCI is of great importance for today’s and future distributed systems....
This book collects research studies connecting Finance, Marketing and Operations to Sustainable Business. Readers can find the output of scholars’ efforts worldwide, from Latin America to Asia through Europe and Africa. Each chapter addresses the challenges to making business sustainable through several lenses, e.g. using various research methodologies, focusing on several geographical locations, or examining one or more specific businesses and industries. This book targets several audiences: Students looking for insights into interdisciplinary studies bridging business and sustainability; research scholars; and practitioners, who will find helpful research findings to steer their decision-making towards more sustainable business. Sections include Environmental Protection; Marketing and Consumer Insights; Local and Global Operations; Organizational Culture; and Human Capital.
This book constitutes the thoroughly refereed post-conference proceedings of the 7th EAI International Conference on Sensor Systems and Software, S-Cube 2016, held in Sophia Antipolis, Nice, France, in December 2016. The 15 revised full papers and 5 invited papers cover technologies for wireless sensor networks, smart city and industry 4.0 applications, and smart sensing.
This edited book collects state-of-the-art research related to large-scale data analytics that has been accomplished over the last few years. This is among the first books devoted to this important area based on contributions from diverse scientific areas such as databases, data mining, supercomputing, hardware architecture, data visualization, statistics, and privacy. There is increasing need for new approaches and technologies that can analyze and synthesize very large amounts of data, in the order of petabytes, that are generated by massively distributed data sources. This requires new distributed architectures for data analysis. Additionally, the heterogeneity of such sources imposes sig...
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