Transactions On Large Scale Data And Knowledge Centered Systems Xlvii
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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII
Author: Abdelkader Hameurlain
language: en
Publisher: Springer Nature
Release Date: 2021-01-16
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 47th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, constitutes a special issue focusing on Digital Ecosystems and Social Networks. The 9 revised selected papers cover topics that include Social Big Data, Data Analysis, Cloud-Based Feedback, Experience Ecosystems, Pervasive Environments, and Smart Systems.
Hypothesis Generation and Interpretation
This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques. The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on “social infrastructure” applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases. The novel methods and technologies proposed in Hypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns. Academic investigators and practitioners working on the further development and application of hypothesis generation and interpretation in big data computing, with backgrounds in data science and engineering, or the study of problem solving and scientific methods or who employ those ideas in fields like machine learning will find this book of considerable interest.
Advances in Information Architecture
This volume reveals the history of Information Architecture (IA), reflects on the relationship between practice and research within the discipline, and presents educators with the latest models, frameworks and theories that have emerged from the Information Architecture Academics and Practitioners Roundtable between 2014 and 2019. The most comprehensive and up-to-date overview of Information Architecture so far, this collection is a valuable tool for teachers, researchers, and practitioners interested in recent advances in information architecture in areas such as pervasive computing and embodiment, artificial intelligence, design practice, diversity and ethics in design, and critique. The information landscape has grown more complex, porous and connected–the information challenges of smart phones, sensors and IoT demand focused attention from organizations that often embrace a ‘move fast and break things’ ethos. This book not only explores the shift from Classical IA to Contemporary IA–it asks, are today’s creators prepared to solve the challenges ahead? Have industry-led disciplines abdicated their responsibility to the people who inhabit current information environments? Will this discipline persist? Advances in Information Architecture examines the maturity of the field, revisits the discipline’s efforts to transform itself in 2013 with the publication of "Reframing Information Architecture", and considers the opportunities that remain to bridge the academic and practitioner communities.