Cognitive And Computational Paradigms For Future Social Networks

Download Cognitive And Computational Paradigms For Future Social Networks full books in PDF, epub, and Kindle. Read online Cognitive And Computational Paradigms For Future Social Networks ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Cognitive and Computational Paradigms for Future Social Networks

Author : A. Pasumpon Pandian
Publisher : Springer
ISBN 13 : 9783031039898
Total Pages : 0 pages
Book Rating : 4.0/5 (398 download)

DOWNLOAD NOW!

Book Synopsis Cognitive and Computational Paradigms for Future Social Networks by : A. Pasumpon Pandian

Download or read book Cognitive and Computational Paradigms for Future Social Networks written by A. Pasumpon Pandian and published by Springer. This book was released on 2022-09-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers novel research works that simulate human intelligence in cognitive and non-cognitive tasks like learning, problem-solving, and adaptation. Its focus is on the use of cognitive computational paradigms like neural networks, fuzzy systems, machine learning, cognition, deep learning, and hybrid parameters like neuro-fuzzy computing systems to address and overcome real-world complexities. The respective chapters highlight recent research advances and promising results obtained in the area of social networks by leveraging novel recommender systems, optimized resources, sustainable networking practices and autonomous decision-making models, and by developing new opportunities to enhance worldwide user interaction. In addition, the contributing authors have dedicated significant research attention to analyzing Big Data on social interactions. In addition, the book has a special focus on state-of-the-art applications that take human-computer interaction and social behavior into consideration. Given its scope, the book will be of interest and appeal to: · Information and Communication Technologies [ICT] researchers · Artificial Intelligence [AI] research communities · Social Network analysis and online communities · Community networking and control researchers · Researchers and practitioners whose work focuses on various aspects of cognitive computing, deep learning, expert systems, etc.

Computational Social Network Analysis

Author : Ajith Abraham
Publisher : Springer
ISBN 13 : 9781447125327
Total Pages : 0 pages
Book Rating : 4.1/5 (253 download)

DOWNLOAD NOW!

Book Synopsis Computational Social Network Analysis by : Ajith Abraham

Download or read book Computational Social Network Analysis written by Ajith Abraham and published by Springer. This book was released on 2012-03-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites, surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information, reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities, examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation, discusses team selection based on members’ social context, presents social network applications, including music recommendation and face recognition in photographs, explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services. This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas.

Social Networks: A Framework of Computational Intelligence

Author : Witold Pedrycz
Publisher : Springer
ISBN 13 : 3319029932
Total Pages : 440 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Social Networks: A Framework of Computational Intelligence by : Witold Pedrycz

Download or read book Social Networks: A Framework of Computational Intelligence written by Witold Pedrycz and published by Springer. This book was released on 2013-12-09 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and evaluation of social networks. The volume involves studies devoted to key issues of social networks including community structure detection in networks, online social networks, knowledge growth and evaluation, and diversity of collaboration mechanisms. The book engages a wealth of methods of Computational Intelligence along with well-known techniques of linear programming, Formal Concept Analysis, machine learning, and agent modeling. Human-centricity is of paramount relevance and this facet manifests in many ways including personalized semantics, trust metric, and personal knowledge management; just to highlight a few of these aspects. The contributors to this volume report on various essential applications including cyber attacks detection, building enterprise social networks, business intelligence and forming collaboration schemes. Given the subject area, this book is aimed at a broad audience of researchers and practitioners. Owing to the nature of the material being covered and a way it is organized, the volume will appeal to the well-established communities including those active in various disciplines in which social networks, their analysis and optimization are of genuine relevance. Those involved in operations research, management, various branches of engineering, and economics will benefit from the exposure to the subject matter.

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Author : Nitin Agarwal
Publisher : Springer
ISBN 13 : 3319941054
Total Pages : 282 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining by : Nitin Agarwal

Download or read book Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining written by Nitin Agarwal and published by Springer. This book was released on 2018-09-17 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.

Computational Social Network Analysis

Author : Ajith Abraham
Publisher : Springer Science & Business Media
ISBN 13 : 1848822294
Total Pages : 487 pages
Book Rating : 4.8/5 (488 download)

DOWNLOAD NOW!

Book Synopsis Computational Social Network Analysis by : Ajith Abraham

Download or read book Computational Social Network Analysis written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2009-12-10 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites, surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information, reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities, examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation, discusses team selection based on members’ social context, presents social network applications, including music recommendation and face recognition in photographs, explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services. This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas.

Online Social Networks

Author : Chee Wei Tan
Publisher : Nova Science Publishers
ISBN 13 : 9781536173888
Total Pages : 231 pages
Book Rating : 4.1/5 (738 download)

DOWNLOAD NOW!

Book Synopsis Online Social Networks by : Chee Wei Tan

Download or read book Online Social Networks written by Chee Wei Tan and published by Nova Science Publishers. This book was released on 2020 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book consists of contributions from preeminent experts in the field of network science, signal processing and machine learning, focusing on the theoretical and algorithmic aspects of online social networking technologies. As online social networks provide an important and diverse medium for spreading and disseminating various types of information, this book offers new perspectives and applications of these large-scale networks in engineering cyber intelligence. The book introduces and explains how to design predictive analytics and computational tools, but also presents insights into forward-engineering new applications such as community detection, rumor source detection and large-scale online learning. Mathematical tools based on statistical inference, graph theory and machine learning as well as real-world data analysis are provided to help readers understand the advances in cyber intelligence. As such it is a valuable resource for graduate students and researchers in understanding the developments of online social networking technologies"--

Learning from Multiple Social Networks

Author : Liqiang Nie
Publisher : Springer Nature
ISBN 13 : 3031023005
Total Pages : 102 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Learning from Multiple Social Networks by : Liqiang Nie

Download or read book Learning from Multiple Social Networks written by Liqiang Nie and published by Springer Nature. This book was released on 2022-05-31 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the proliferation of social network services, more and more social users, such as individuals and organizations, are simultaneously involved in multiple social networks for various purposes. In fact, multiple social networks characterize the same social users from different perspectives, and their contexts are usually consistent or complementary rather than independent. Hence, as compared to using information from a single social network, appropriate aggregation of multiple social networks offers us a better way to comprehensively understand the given social users. Learning across multiple social networks brings opportunities to new services and applications as well as new insights on user online behaviors, yet it raises tough challenges: (1) How can we map different social network accounts to the same social users? (2) How can we complete the item-wise and block-wise missing data? (3) How can we leverage the relatedness among sources to strengthen the learning performance? And (4) How can we jointly model the dual-heterogeneities: multiple tasks exist for the given application and each task has various features from multiple sources? These questions have been largely unexplored to date. We noticed this timely opportunity, and in this book we present some state-of-the-art theories and novel practical applications on aggregation of multiple social networks. In particular, we first introduce multi-source dataset construction. We then introduce how to effectively and efficiently complete the item-wise and block-wise missing data, which are caused by the inactive social users in some social networks. We next detail the proposed multi-source mono-task learning model and its application in volunteerism tendency prediction. As a counterpart, we also present a mono-source multi-task learning model and apply it to user interest inference. We seamlessly unify these models with the so-called multi-source multi-task learning, and demonstrate several application scenarios, such as occupation prediction. Finally, we conclude the book and figure out the future research directions in multiple social network learning, including the privacy issues and source complementarity modeling. This is preliminary research on learning from multiple social networks, and we hope it can inspire more active researchers to work on this exciting area. If we have seen further it is by standing on the shoulders of giants.

Online Social Networks

Author : Valerio Arnaboldi
Publisher : Elsevier
ISBN 13 : 0128030429
Total Pages : 118 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!

Book Synopsis Online Social Networks by : Valerio Arnaboldi

Download or read book Online Social Networks written by Valerio Arnaboldi and published by Elsevier. This book was released on 2015-09-25 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior. As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties. Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments. Provides an analysis of the structural properties of ego networks in online social networks Presents quantitative evidence of the Dunbar’s number in online environments Discusses original structural and dynamic properties of human social network through OSN analysis

Computational Social Networks

Author : Hien T. Nguyen
Publisher : Springer
ISBN 13 : 3319423452
Total Pages : 366 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Computational Social Networks by : Hien T. Nguyen

Download or read book Computational Social Networks written by Hien T. Nguyen and published by Springer. This book was released on 2016-07-11 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Computational Social Networks, CSoNet 2016, held in Ho Chi Minh City, Vietnam, in August 2016. The 30 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers cover topics on common principles, algorithms and tools that govern social network structures/topologies, functionalities, social interactions, security and privacy, network behaviors, information diffusions and influence, social recommendation systems which are applicable to all types of social networks and social media.

Proceedings of the International Conference on Cognitive and Intelligent Computing

Author : Amit Kumar
Publisher : Springer Nature
ISBN 13 : 9811923507
Total Pages : 899 pages
Book Rating : 4.8/5 (119 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the International Conference on Cognitive and Intelligent Computing by : Amit Kumar

Download or read book Proceedings of the International Conference on Cognitive and Intelligent Computing written by Amit Kumar and published by Springer Nature. This book was released on 2022-10-31 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC – 2021), held on December 11–12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human–Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.

Cognitive Computing Systems

Author : Vishal Jain
Publisher : CRC Press
ISBN 13 : 1000164365
Total Pages : 425 pages
Book Rating : 4.0/5 (1 download)

DOWNLOAD NOW!

Book Synopsis Cognitive Computing Systems by : Vishal Jain

Download or read book Cognitive Computing Systems written by Vishal Jain and published by CRC Press. This book was released on 2021-05-10 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume, Cognitive Computing Systems: Applications and Technological Advancements, explores the emerging area of artificial intelligence that encompasses machine self-learning, human-computer interaction, natural language processing, data mining and more. It introduces cognitive computing systems, highlights their key applications, discusses the technologies used in cognitive systems, and explains underlying models and architectures. Focusing on scientific work for real-world applications, each chapter presents the use of cognitive computing and machine learning in specific application areas. These include the use of speech recognition technology, application of neural networks in construction management, elevating competency in education, comprehensive health monitoring systems, predicting type 2 diabetes, applications for smart agricultural technology, human resource management, and more. With chapters from knowledgeable researchers in the area of artificial intelligence, cognitive computing, and allied areas, this book will be an asset for researchers, faculty, advances students, and industry professionals in many fields.

Cognitive Computing for Big Data Systems Over IoT

Author : Arun Kumar Sangaiah
Publisher : Springer
ISBN 13 : 3319706888
Total Pages : 383 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Cognitive Computing for Big Data Systems Over IoT by : Arun Kumar Sangaiah

Download or read book Cognitive Computing for Big Data Systems Over IoT written by Arun Kumar Sangaiah and published by Springer. This book was released on 2017-12-30 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.

Understanding and Reshaping Social Networks with Advanced Computational Techniques

Author : Yuan Yuan (Expert on online social networks)
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)

DOWNLOAD NOW!

Book Synopsis Understanding and Reshaping Social Networks with Advanced Computational Techniques by : Yuan Yuan (Expert on online social networks)

Download or read book Understanding and Reshaping Social Networks with Advanced Computational Techniques written by Yuan Yuan (Expert on online social networks) and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social networks are powerful in modeling interdependence among individuals. Recently, the availability of large-scale social network data and advances in computational tools have facilitated the rapid development in social network research. However, a few important aspects of social networks have been understudied, and advanced computational tools may not directly help social scientists draw scientific knowledge. My thesis thus aims to move towards applying and developing computational tools that help investigate important questions on social networks. The first component of my thesis focuses on understanding social interactions and networks, which offers implications for reshaping social networks to improve social cohesion. Specifically, I examine the formation and dynamics of social networks, with a focus on social exchange and "long ties." Utilizing large-scale social network data and computational tools, I first discuss benefits of the social exchange with dissimilar people in social networks; and then I proceed to study dynamic social networks and focus on long ties, or the social ties that bridge different communities in dynamic networks. Methodologically, I develop a novel interdisciplinary approach that combines game theory and machine learning techniques Second, I study what features on online platforms may improve social interactions and reshape social networks. To do so, I utilize large-scale data of online social media and provide two examples in the field. The first example is the identification of social contagion of online gift giving. This study examines how receiving a gift would promote the person to pay forward the gift, and also discusses how this social contagion can promote social interactions and tight social bonds. The other example is to examine how the designs of peer effects and prosociality on online social platforms encourage users' offline fitness behavior. Methodologically, both studies involve advanced causal inference and machine learning techniques to test the main hypotheses. Moreover, I develop computational tools that analyze social network data. In the final component of my thesis, I introduce an algorithm for controlled experiments in social networks. This algorithm detects heterogeneous spillover effects -- how the treatment assignments received by one's network neighbors affect a person's behavior -- in the data of networked experiments. This interdisciplinary algorithm combines approaches in causal inference, machine learning, and network science.

Natural Computing

Author : Yasuhiro Suzuki
Publisher : Springer Science & Business Media
ISBN 13 : 4431889817
Total Pages : 260 pages
Book Rating : 4.4/5 (318 download)

DOWNLOAD NOW!

Book Synopsis Natural Computing by : Yasuhiro Suzuki

Download or read book Natural Computing written by Yasuhiro Suzuki and published by Springer Science & Business Media. This book was released on 2008-12-18 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the refereed proceedings of the Second International Workshop on Natural Computing, IWNC 2007, held in Noyori Conference Hall, Nagoya University in December 2007. IWNC aims to bring together computer scientists, biologists, mathematicians, electronic engineers, physicists, and humanitarians, to critically assess present findings in the field, and to outline future developments in nature-inspired computing.

Towards Cognitive Cities

Author : Edy Portmann
Publisher : Springer
ISBN 13 : 331933798X
Total Pages : 226 pages
Book Rating : 4.3/5 (193 download)

DOWNLOAD NOW!

Book Synopsis Towards Cognitive Cities by : Edy Portmann

Download or read book Towards Cognitive Cities written by Edy Portmann and published by Springer. This book was released on 2016-06-09 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the readers to the new concept of cognitive cities. It demonstrates why cities need to become cognitive and why therefore a concept of cognitive city is needed. It highlights the main building blocks of cognitive cities and illustrates the concept by various cases. Following a concise introductory chapter the book features nine chapters illustrating various aspects and dimensions of cognitive cities. The logic of its structure proceeds from more general considerations to more specific illustrations. All chapters offer a comprehensive view of the different research endeavours about cognitive cities and will help pave the way for this new and innovative approach to governing cities in the future.

Socio-economic Systems: Paradigms for the Future

Author : Elena G. Popkova
Publisher : Springer Nature
ISBN 13 : 3030564339
Total Pages : 1728 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Socio-economic Systems: Paradigms for the Future by : Elena G. Popkova

Download or read book Socio-economic Systems: Paradigms for the Future written by Elena G. Popkova and published by Springer Nature. This book was released on 2021-03-05 with total page 1728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is reflective of a science-based vision of the future development paradigm of economic and social systems. It deals with the digitization as the technological basis for the future development of economic and social systems and presents a review of groundbreaking technologies and prospects for their application. The specific character of the industry and prospects for the application of digital technologies in business are analyzed. A rationale is provided for future prospects for the sustainable development of economic and social systems in a digital economy. The authors determine the process of the formation and development of the information-oriented society, social and educational aspects of the digitization, as well as the institutional framework of the digital future of social and economic systems. The book combines the best works following the results of the 12th International Research-to-Practice Conference “Artificial Intelligence: Anthropogenic Nature vs. Social Origin” that was held by the Institute of Scientific Communications (ISC) in cooperation with the Siberian Federal University and the Krasnoyarsk Regional Fund of support of scientific and scientific–technical activities on 5–7 December 2019, in Krasnoyarsk, Russia, as well as following the results of the 3rd International Research-to-Practice Conference “Economic and Social Systems: Paradigms for the Future” that was held by the ISC in cooperation with the Pyatigorsk State University on 5–6 February 2020. The target audience of the book consists of representatives of the academic community concerned with the future prospects for the development of economic and social systems, as well as economic agents engaged in the digitization of business processes, and representatives of public agencies regulating the development of business systems for their progressivity, sustainability and competitiveness.

Pervasive Computing Paradigms for Mental Health

Author : Pietro Cipresso
Publisher : Springer
ISBN 13 : 3319115642
Total Pages : 168 pages
Book Rating : 4.3/5 (191 download)

DOWNLOAD NOW!

Book Synopsis Pervasive Computing Paradigms for Mental Health by : Pietro Cipresso

Download or read book Pervasive Computing Paradigms for Mental Health written by Pietro Cipresso and published by Springer. This book was released on 2014-09-25 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised post-proceedings of the 4th International Symposium on Pervasive Computing Paradigms for Mental Health, MindCare 2014, held in Tokyo, Japan, in May 2014. The 11 full and 5 short papers presented were carefully reviewed and selected from 26 submissions for inclusion in the proceedings. The papers are organized in topical sections on recognition and assessment, mental health management, improving communication, depression, and self-applied treatments.