Analysis of Images, Social Networks and Texts, Wil M. P. van der Aalst; Vladimir Batagelj; Dmitry
Автор: El?bieta Macioszek; Nan Kang; Grzegorz Sierpi?ski Название: Nodes in Transport Networks – Research, Data Analysis and Modelling ISBN: 3030391086 ISBN-13(EAN): 9783030391089 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The publication delivers numerous valuable guidelines, particularly useful when making decisions related in the subject matter to road and rail nodes located in dense transport networks. The know-how displayed while discussing practical examples as well as the decision making support systems described in the publication will certainly attract the interest of those who daily face the challenge of seeking solutions to the operational and functional problems of transport nodes in contemporary transport networks and systems. This publication is dedicated to local authorities involved in planning and preparation of development strategies for specific transport-related issues (in both urban and regional areas) as well as to representatives of business and industry, being those who participate directly in the implementation of traffic engineering solutions. The guidelines provided in individual chapters of the publication will make it possible to address the given problem in an advanced manner and simplify the choice of appropriate strategies (including those related to synchronisation of road traffic streams, improving the capacity, road traffic safety analysis, evaluation of changes in drivers’ behaviour on account of introducing countdown timers at signal-controlled intersections using UAV data, the influence of the type of traffic organisation on the behaviour of pedestrians at tram line crossings). On the other hand, since the publication also concerns the new approach to theoretical models (including potential places of integration of public transport with the railway network or the speed adviser for pedestrians enabling them to choose the optimal path at signal-controlled intersections), it should also attract the attention of researches and scientists studying this body of problems. The publication entitled 'Nodes in transport networks - research, data analysis and modelling' contains selected papers submitted to and presented at the 16th ”Transport Systems. Theory and Practice” Scientific and Technical Conference organized by the Department of Transport Systems and Traffic Engineering at the Faculty of Transport of the Silesian University of Technology. The conference was held on 16-18 September 2019 in Katowice (Poland).
Автор: Dmitry I. Ignatov; Mikhail Yu. Khachay; Valeri G. Название: Analysis of Images, Social Networks and Texts ISBN: 3319529196 ISBN-13(EAN): 9783319529196 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, held in Yekaterinburg, Russia, in April 2016.The 23 full papers, 7 short papers, and 3 industrial papers were carefully reviewed and selected from 142 submissions.
Автор: Mikhail Yu. Khachay; Natalia Konstantinova; Alexan Название: Analysis of Images, Social Networks and Texts ISBN: 3319261223 ISBN-13(EAN): 9783319261225 Издательство: Springer Рейтинг: Цена: 68950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the Fourth International Conference on Analysis of Images, Social Networks and Texts, AIST 2015, held in Yekaterinburg, Russia, in April 2015.The 24 full and 8 short papers were carefully reviewed and selected from 140 submissions.
Автор: Dmitry I. Ignatov; Mikhail Yu. Khachay; Alexander Название: Analysis of Images, Social Networks and Texts ISBN: 3319125796 ISBN-13(EAN): 9783319125794 Издательство: Springer Рейтинг: Цена: 54040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. They are presented together with 3 short industrial papers, 4 invited papers and tutorials. The papers deal with topics such as analysis of images and videos;
Автор: van der Aalst Название: Analysis of Images, Social Networks and Texts ISBN: 3319730126 ISBN-13(EAN): 9783319730127 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 6th International Conference on Analysis of Images, Social Networks and Texts, AIST 2017, held in Moscow, Russia, in July 2017. The 29 full papers and 8 short papers were carefully reviewed and selected from 127 submissions. general topics of data analysis;
Автор: Wil M. P. van der Aalst; Vladimir Batagelj; Goran Название: Analysis of Images, Social Networks and Texts ISBN: 3030110265 ISBN-13(EAN): 9783030110260 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts, AIST 2018, held in Moscow, Russia, in July 2018.The 29 full papers were carefully reviewed and selected from 107 submissions (of which 26 papers were rejected without being reviewed). The papers are organized in topical sections on natural language processing; analysis of images and video; general topics of data analysis; analysis of dynamic behavior through event data; optimization problems on graphs and network structures; and innovative systems.
Автор: Xiangyu Kong; Changhua Hu; Zhansheng Duan Название: Principal and Minor Component Analysis Neural Networks to Principal Component Analysis Networks and Algorithms ISBN: 981102913X ISBN-13(EAN): 9789811029134 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc.
Автор: Kjarulff, Uffe B. Madsen, Anders L. Название: Bayesian networks and influence diagrams: a guide to construction and analysis ISBN: 1461451035 ISBN-13(EAN): 9781461451037 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In a Second Edition offering six new sections, new examples, tables, figures and more, this book shows how to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Includes more than 140 examples.
Автор: Rokia Missaoui; Sergei O. Kuznetsov; Sergei Obiedk Название: Formal Concept Analysis of Social Networks ISBN: 3319641662 ISBN-13(EAN): 9783319641669 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory.The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge communities, individuality computation, other types of FCA-based analysis of bipartite graphs (two-mode networks), multimodal clustering, community detection and description in one-mode and multi-mode networks, adaptation of the dual-projection approach to weighted bipartite graphs, extensions to the Kleinberg's HITS algorithm as well as attributed graph analysis.
Автор: Uffe B. Kj?rulff; Anders L. Madsen Название: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis ISBN: 1493900293 ISBN-13(EAN): 9781493900299 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In a Second Edition offering six new sections, new examples, tables, figures and more, this book shows how to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Includes more than 140 examples.
Автор: Uffe B. Kj?rulff; Anders L. Madsen Название: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis ISBN: 1441925465 ISBN-13(EAN): 9781441925466 Издательство: Springer Рейтинг: Цена: 71690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. The theory and methods presented are illustrated through more than 140 examples.
Review of the State of the Art of Vulnerability Assessment Using Artificial Intelligence Saad Khan and Simon Parkinson
A Survey of Machine Learning Algorithms and Their Application in Information Security Mark Stamp
Part II: Vulnerability Assessment Frameworks
Vulnerability Assessment of Cybersecurity for SCADA Systems Kyle Coffey, Leandros A. Maglaras, Richard Smith, Helge Janicke, Mohamed Amine Ferrag, Abdelouahid Derhab, Mithun Mukherjee, Stylianos Rallis, and Awais Yousaf
A Predictive Model for Risk and Trust Assessment in Cloud Computing: Taxonomy and Analysis for Attack Pattern Detection Alexandros Chrysikos and Stephen McGuire
AI and Metrics-Based Vulnerability-Centric Cyber Security Assessment and Countermeasure Selection Igor Kotenko, Elena Doynikova, Andrey Chechulin, and Andrey Fedorchenko
Artificial Intelligence Agents as Mediators of Trustless Security Systems and Distributed Computing Applications Steven Walker-Roberts and Mohammad Hammoudeh
Part III: Applications of Artificial Intelligence
Automated Planning of Administrative Tasks Using Historic Events: a File System Case Study Saad Khan and Simon Parkinson
Defending Against Chained Cyber-Attacks by Adversarial Agents Vivin Paliath and Paulo Shakarian
Vulnerability Detection and Analysis in Adversarial Deep Learning Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, and Renato Levy
SOCIO-LENS: Spotting Unsolicited Callers Through Network Analysis Muhammad Ajmal Azad, Junaid Arshad, and Farhan Riaz
Function Call Graphs Versus Machine Learning for Malware Detection Deebiga Rajeswaran, Fabio Di Troia, Thomas H. Austin, and Mark Stamp
Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models Dhiviya Dhanasekar, Fabio Di Troia, Katerina Potika, and Mark Stamp
Masquerade Detection on Mobile Devices Swathi Nambiar Kadala Manikoth, Fabio Di Troia, and Mark Stamp
Identifying File Interaction Patterns in Ransomware Behaviour Liam Grant and Simon Parkinson
Part IV: Visualisation
A Framework for the Visualisation of Cyber Security Requirements and its Application in BPMN Bo Zhou, Curtis Maines, Stephen Tang, and Qi Shi
Big Data and Cyber Security: A Visual Analytics Perspective Suvodeep Mazumdar and Jing Wang
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
