Finding Socially Best Spanning Trees
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| Author | : Daniel Bienstock |
| Publisher | : Springer Nature |
| Total Pages | : 459 |
| Release | : 2020-04-13 |
| Genre | : Computers |
| ISBN | : 3030457710 |
This book constitutes the refereed proceedings of the 21st International Conference on Integer Programming and Combinatorial Optimization, IPCO 2020, held in London, UK, in June 2020. The 33 full versions of extended abstracts presented were carefully reviewed and selected from 126 submissions. The conference is a forum for researchers and practitioners working on various aspects of integer programming and combinatorial optimization. The aim is to present recent developments in theory, computation, and applications in these areas.
| Author | : Francesca Rossi |
| Publisher | : Springer |
| Total Pages | : 460 |
| Release | : 2009-10-13 |
| Genre | : Mathematics |
| ISBN | : 364204428X |
This volume contains the papers presented at ADT 2009, the first International Conference on Algorithmic Decision Theory. The conference was held in San Servolo, a small island of the Venice lagoon, during October 20-23, 2009. The program of the conference included oral presentations, posters, invited talks, and tutorials. The conference received 65 submissions of which 39 papers were accepted (9 papers were posters). The topics of these papers range from computational social choice preference modeling, from uncertainty to preference learning, from multi-criteria decision making to game theory.
| Author | : Peter Simon Sapaty |
| Publisher | : Springer |
| Total Pages | : 243 |
| Release | : 2018-09-22 |
| Genre | : Technology & Engineering |
| ISBN | : 303001830X |
This book describes the application of a high-level technology to solve problems in distributed systems that have networked structures with millions to billions of nodes. The main difference from other works is that the approach is based on holistically and simultaneously analysing these systems using a spatial pattern-matching mode, which produces solutions hundreds of times faster than usual. The latest version of the technology is described, together with implementation details and basic Spatial Grasp Language. In addition, the book highlights numerous solutions, covering graph and network problems, their use in large social, industrial, and business ecosystems, social robotics and driverless transport, and the possibility of extrapolating from known gestalt laws on distributed systems, which could potentially be applied in civil and defence contexts. The book is intended for system scientists, business and industry managers, economists, application programmers, security and defence personnel, as well as university students.
| Author | : Lisa F. Berkman |
| Publisher | : |
| Total Pages | : 641 |
| Release | : 2014 |
| Genre | : Medical |
| ISBN | : 0195377907 |
Social epidemiology is the study of how the social world influences -- and in many cases defines -- the fundamental determinants of health. This link was substantiated in the first edition of Social Epidemiology, and the generation of research that followed has fundamentally changed the way we understand epidemiology and public health. This much-awaited second edition elevates the field again, first by codifying the last decade of research, then by extending it to examine how public policies impact health. The new edition includes: - 11 fully updated chapters, including entries on the links between health and discrimination, income inequality, social networks, and emotion - Four all-new chapters on the role of policies in shaping health, including how to translate evidence into action with multi-level interventions - Updated references, detailing the best research over the last two decades The result is a bold, brilliant text that will serve the new world of epidemiology in which scientists both observe health and design interventions to improve it. Social Epidemiology again sets an intellectual agenda and provides an essential foundation for those interested in social determinants of health around the world.
| Author | : Lisa F. Berkman PhD |
| Publisher | : Oxford University Press |
| Total Pages | : 641 |
| Release | : 2014-07-09 |
| Genre | : Medical |
| ISBN | : 0199395349 |
Social epidemiology is the study of how the social world influences -- and in many cases defines -- the fundamental determinants of health. This link was substantiated in the first edition of Social Epidemiology, and the generation of research that followed has fundamentally changed the way we understand epidemiology and public health. This much-awaited second edition elevates the field again, first by codifying the last decade of research, then by extending it to examine how public policies impact health. The new edition includes: · 11 fully updated chapters, including entries on the links between health and discrimination, income inequality, social networks, and emotion · Four all-new chapters on the role of policies in shaping health, including how to translate evidence into action with multi-level interventions · Updated references, detailing the best research over the last two decades The result is a bold, brilliant text that will serve the new world of epidemiology in which scientists both observe health and design interventions to improve it. Social Epidemiology again sets an intellectual agenda and provides an essential foundation for those interested in social determinants of health around the world.
| Author | : Jyotsna Kumar Mandal |
| Publisher | : Springer |
| Total Pages | : 749 |
| Release | : 2018-08-23 |
| Genre | : Computers |
| ISBN | : 9811313431 |
This book constitutes the refereed proceedings of the 52nd Annual Convention of the Computer Society of India, CSI 2017, held in Kolkata, India, in January 2018. The 59 revised papers presented were carefully reviewed and selected from 157 submissions. The theme of CSI 2017, Social Transformation – Digital Way, was selected to highlight the importance of technology for both central and state governments at their respective levels to achieve doorstep connectivity with its citizens. The papers are organized in the following topical sections: Signal processing, microwave and communication engineering; circuits and systems; data science and data analytics; bio computing; social computing; mobile, nano, quantum computing; data mining; security and forensics; digital image processing; and computational intelligence.
| Author | : Mark Needham |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 297 |
| Release | : 2019-05-16 |
| Genre | : Computers |
| ISBN | : 1492047635 |
Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value—from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j—two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection. Learn how graph analytics vary from conventional statistical analysis Understand how classic graph algorithms work, and how they are applied Get guidance on which algorithms to use for different types of questions Explore algorithm examples with working code and sample datasets from Spark and Neo4j See how connected feature extraction can increase machine learning accuracy and precision Walk through creating an ML workflow for link prediction combining Neo4j and Spark
| Author | : Sibel Tarıyan Özyer |
| Publisher | : Springer Nature |
| Total Pages | : 191 |
| Release | : 2023-07-25 |
| Genre | : Social Science |
| ISBN | : 303133065X |
This book offers an excellent source of knowledge for readers who are interested in keeping up with the developments in the field of cyber security and social media analysis. It covers the possibility of using augmented reality to monitor cyber security feeds in a multitasking environment. It describes a real-time scheduled security scanner. E-commerce concept labeling is tackled by introducing a lightweight global taxonomy induction system. Blogsphere analytics and online video narratives and networks are explored. The effect of global and local network structure, credibility based prevention of fake news dissemination, and detection of trending topics and influence from social media are investigated. This book helps the reader in developing their own perspective about how to deal with cyber security and how to benefit from the development in technology to tackle cyber security issues. The reader of this book will realize how to use various machine learning techniques for tackling various applications involving social medial analysis.
| Author | : Weerakkody, Vishanth |
| Publisher | : IGI Global |
| Total Pages | : 463 |
| Release | : 2009-12-31 |
| Genre | : Computers |
| ISBN | : 1605669199 |
"This book offers reflective accounts of the key research themes that have emerged in the last few years as electronic government services have become commonplace in the world"--Provided by publisher.
| Author | : Rajesh Kumar Shukla |
| Publisher | : Springer Nature |
| Total Pages | : 789 |
| Release | : 2020-03-21 |
| Genre | : Technology & Engineering |
| ISBN | : 9811520712 |
This book presents a selection of revised and extended versions of the best papers from the First International Conference on Social Networking and Computational Intelligence (SCI-2018), held in Bhopal, India, from October 5 to 6, 2018. It discusses recent advances in scientific developments and applications in these areas.
