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Metasynthetic Computing and Engineering of Complex Systems
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The article was published on 2015-05-29 and is currently open access. It has received 42 citations till now. The article focuses on the topics: Complex system.read more
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Data science: challenges and directions
TL;DR: While it may not be possible to build a data brain identical to a human, data science can still aspire to imaginative machine thinking.
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A Survey on Session-based Recommender Systems
TL;DR: A systematic and comprehensive review on SBRS is provided and a hierarchical framework is created to categorize the related research issues and methods of SBRS and to reveal its intrinsic challenges and complexities.
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Data Science: A Comprehensive Overview
TL;DR: This article provides a comprehensive survey and tutorial of the fundamental aspects of data science: the evolution from data analysis to data science, the data science concepts, a big picture of the era of dataScience, the major challenges and directions in data innovation, the nature of data analytics, new industrialization and service opportunities in the data economy, the profession and competency of data education, and the future of datascience.
Journal ArticleDOI
Data Science: A Comprehensive Overview
TL;DR: A comprehensive survey and tutorial of the fundamental aspects of data science: the evolution from data analysis to data science, the data science concepts, a big picture of the era of Data Science, the major challenges and directions in data innovation, the nature of data analytics, new industrialization and service opportunities in the data economy, the profession and competency of data education, and the future of Data science as discussed by the authors.
References
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Emergence of Scaling in Random Networks
TL;DR: A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
BookDOI
Swarm intelligence: from natural to artificial systems
TL;DR: This chapter discusses Ant Foraging Behavior, Combinatorial Optimization, and Routing in Communications Networks, and its application to Data Analysis and Graph Partitioning.
Book
Multiagent Systems : A Modern Approach to Distributed Artificial Intelligence
TL;DR: This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence and will be a useful reference not only for computer scientists and engineers, but for social scientists and management and organization scientists as well.
ReportDOI
Introduction to cybernetics
TL;DR: This book contains the collected and unified material necessary for the presentation of such branches of modern cybernetics as the theory of electronic digital computers, Theory of discrete automata, theory of discrete self-organizing systems, automation of thought processes, theoryof image recognition, etc.
Journal ArticleDOI
On agent-based software engineering
TL;DR: It will be argued that the development of robust and scalable software systems requires autonomous agents that can complete their objectives while situated in a dynamic and uncertain environment, that can engage in rich, high-level social interactions, and that can operate within flexible organisational structures.