Social Media and Journalism

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Publisher : BoD – Books on Demand
ISBN 13 : 178984259X
Total Pages : 146 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Social Media and Journalism by : Ján Višňovský

Download or read book Social Media and Journalism written by Ján Višňovský and published by BoD – Books on Demand. This book was released on 2018-10-31 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, social media are amongst the most frequently used entertainment and information sources, offering the most recent news. National, international and global issues of social media journalism involve a wide spectrum of complex questions related to the production, distribution and reception of media contents, as well as a plethora of social, cultural, economic, legal and ethical aspects to consider. The publication you are holding in your hands is an attempt to provide various theoretical and empirical frameworks that may help us better understand social media journalism from different points of view and in diverse contexts. The individual chapters are written by authors with various scholarly affiliations working in international academic circles. Even though the methods they use and problems they discuss vary, they all pursue the same objective - to find out more about the implications of the existence and popularity of social media, especially social media journalism.

Network Algorithms, Data Mining, and Applications

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Publisher : Springer Nature
ISBN 13 : 3030371573
Total Pages : 251 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Network Algorithms, Data Mining, and Applications by : Ilya Bychkov

Download or read book Network Algorithms, Data Mining, and Applications written by Ilya Bychkov and published by Springer Nature. This book was released on 2020-02-22 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economics, Moscow, in May 2018. The conference brought together scientists, engineers, and researchers from academia, industry, and government. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics, economics, statistics, computer science, and engineering find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. Machine learning techniques in network settings including community detection, clustering, and biclustering algorithms are presented with applications to social network analysis.

DyNetMM '13

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Publisher :
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4.:/5 (128 download)

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Book Synopsis DyNetMM '13 by :

Download or read book DyNetMM '13 written by and published by . This book was released on 2013 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 3319235257
Total Pages : 802 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Annalisa Appice

Download or read book Machine Learning and Knowledge Discovery in Databases written by Annalisa Appice and published by Springer. This book was released on 2015-08-28 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.

Systems Simulation and Modeling for Cloud Computing and Big Data Applications

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Publisher : Academic Press
ISBN 13 : 0128197803
Total Pages : 184 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Systems Simulation and Modeling for Cloud Computing and Big Data Applications by : Dinesh Peter

Download or read book Systems Simulation and Modeling for Cloud Computing and Big Data Applications written by Dinesh Peter and published by Academic Press. This book was released on 2020-02-26 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant advantages. For example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book. Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development. Examines the methodology and requirements of benchmarking big data and cloud computing tools, advances in big data frameworks and benchmarks for large-scale data analytics, and frameworks for benchmarking and predictive analytics in big data deployment Discusses applications using big data benchmarks, such as BigDataBench, BigBench, HiBench, MapReduce, HPCC, ECL, HOBBIT, GridMix and PigMix, and applications using big data frameworks, such as Hadoop, Spark, Samza, Flink and SQL frameworks Covers development of big data benchmarks to evaluate workloads in state-of-the-practice heterogeneous hardware platforms, advances in modeling and simulation tools for performance evaluation, security problems and scalable cloud computing environments

Emergent Computation

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Publisher : Springer
ISBN 13 : 3319463764
Total Pages : 641 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Emergent Computation by : Andrew Adamatzky

Download or read book Emergent Computation written by Andrew Adamatzky and published by Springer. This book was released on 2016-11-04 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to Professor Selim G. Akl to honour his groundbreaking research achievements in computer science over four decades. The book is an intellectually stimulating excursion into emergent computing paradigms, architectures and implementations. World top experts in computer science, engineering and mathematics overview exciting and intriguing topics of musical rhythms generation algorithms, analyse the computational power of random walks, dispelling a myth of computational universality, computability and complexity at the microscopic level of synchronous computation, descriptional complexity of error detection, quantum cryptography, context-free parallel communicating grammar systems, fault tolerance of hypercubes, finite automata theory of bulk-synchronous parallel computing, dealing with silent data corruptions in high-performance computing, parallel sorting on graphics processing units, mining for functional dependencies in relational databases, cellular automata optimisation of wireless sensors networks, connectivity preserving network transformers, constrained resource networks, vague computing, parallel evolutionary optimisation, emergent behaviour in multi-agent systems, vehicular clouds, epigenetic drug discovery, dimensionality reduction for intrusion detection systems, physical maze solvers, computer chess, parallel algorithms to string alignment, detection of community structure. The book is a unique combination of vibrant essays which inspires scientists and engineers to exploit natural phenomena in designs of computing architectures of the future.

Big Data Analytics

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Publisher : Springer
ISBN 13 : 3030047806
Total Pages : 429 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Big Data Analytics by : Anirban Mondal

Download or read book Big Data Analytics written by Anirban Mondal and published by Springer. This book was released on 2018-12-11 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India, in December 2018. The 29 papers presented in this volume were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining.

Intelligent Computing and Communication Systems

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Publisher : Springer Nature
ISBN 13 : 9811612951
Total Pages : 420 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Intelligent Computing and Communication Systems by : Brahmjit Singh

Download or read book Intelligent Computing and Communication Systems written by Brahmjit Singh and published by Springer Nature. This book was released on 2021-06-21 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses a number of intelligent algorithms which are being developed and explored for the next-generation communication systems. These include algorithms enabled with artificial intelligence, machine learning, artificial neural networks, reinforcement learning, fuzzy logic, swarm intelligence and cognitive capabilities. The book provides a comprehensive and insightful understanding of these algorithms, in context with their applications developed recently and also for immediate future communication technologies. It also covers the topics on how to develop intelligent algorithms for computing functionality in the end-to-end networking platforms. Moreover, the book also covers the recent developments, open technological challenges and future directions in the areas of data analysis, applications of the game theory, autonomous entities, evolutionary computation, smart ubiquitous computing and intelligent architectures with major focus on communication technologies and computing platforms.

Network Algorithms, Data Mining, and Applications

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Publisher : Springer
ISBN 13 : 9783030371562
Total Pages : 244 pages
Book Rating : 4.3/5 (715 download)

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Book Synopsis Network Algorithms, Data Mining, and Applications by : Ilya Bychkov

Download or read book Network Algorithms, Data Mining, and Applications written by Ilya Bychkov and published by Springer. This book was released on 2020-02-23 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economics, Moscow, in May 2018. The conference brought together scientists, engineers, and researchers from academia, industry, and government. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics, economics, statistics, computer science, and engineering find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. Machine learning techniques in network settings including community detection, clustering, and biclustering algorithms are presented with applications to social network analysis.

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

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Publisher : Springer Science & Business Media
ISBN 13 : 3642218806
Total Pages : 382 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Rough Sets, Fuzzy Sets, Data Mining and Granular Computing by : Sergei O. Kuznetsov

Download or read book Rough Sets, Fuzzy Sets, Data Mining and Granular Computing written by Sergei O. Kuznetsov and published by Springer Science & Business Media. This book was released on 2011-06-14 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2011, held in Moscow, Russia in June 2011. The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83 submissions. The papers are organized in topical sections on rough sets and approximations, coverings and granules, fuzzy set models, fuzzy set applications, compound values, feature seletion and reduction, clusters and concepts, rules and trees, image processing, and interactions and visualization.

Formal Concept Analysis of Social Networks

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Publisher : Springer
ISBN 13 : 9783319641669
Total Pages : 0 pages
Book Rating : 4.6/5 (416 download)

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Book Synopsis Formal Concept Analysis of Social Networks by : Rokia Missaoui

Download or read book Formal Concept Analysis of Social Networks written by Rokia Missaoui and published by Springer. This book was released on 2017-11-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Large-Scale Data Analytics

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Publisher : Springer Science & Business Media
ISBN 13 : 1461492424
Total Pages : 276 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Large-Scale Data Analytics by : Aris Gkoulalas-Divanis

Download or read book Large-Scale Data Analytics written by Aris Gkoulalas-Divanis and published by Springer Science & Business Media. This book was released on 2014-01-08 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book collects state-of-the-art research related to large-scale data analytics that has been accomplished over the last few years. This is among the first books devoted to this important area based on contributions from diverse scientific areas such as databases, data mining, supercomputing, hardware architecture, data visualization, statistics, and privacy. There is increasing need for new approaches and technologies that can analyze and synthesize very large amounts of data, in the order of petabytes, that are generated by massively distributed data sources. This requires new distributed architectures for data analysis. Additionally, the heterogeneity of such sources imposes significant challenges for the efficient analysis of the data under numerous constraints, including consistent data integration, data homogenization and scaling, privacy and security preservation. The authors also broaden reader understanding of emerging real-world applications in domains such as customer behavior modeling, graph mining, telecommunications, cyber-security, and social network analysis, all of which impose extra requirements for large-scale data analysis. Large-Scale Data Analytics is organized in 8 chapters, each providing a survey of an important direction of large-scale data analytics or individual results of the emerging research in the field. The book presents key recent research that will help shape the future of large-scale data analytics, leading the way to the design of new approaches and technologies that can analyze and synthesize very large amounts of heterogeneous data. Students, researchers, professionals and practitioners will find this book an authoritative and comprehensive resource.

Temporal Networks

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Publisher : Springer
ISBN 13 : 3642364616
Total Pages : 356 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Temporal Networks by : Petter Holme

Download or read book Temporal Networks written by Petter Holme and published by Springer. This book was released on 2013-05-23 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach the temporal aspects are pre-encoded in the dynamic system model. Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself. This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology. The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal network methods are mathematically and conceptually more challenging. This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field.

Computational Approaches to the Network Science of Teams

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Publisher : Cambridge University Press
ISBN 13 : 110849854X
Total Pages : 167 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Computational Approaches to the Network Science of Teams by : Liangyue Li

Download or read book Computational Approaches to the Network Science of Teams written by Liangyue Li and published by Cambridge University Press. This book was released on 2020-12-03 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveys recent models and algorithms characterizing, predicting, optimizing, and explaining team performance in a variety of settings.

Intelligent Exploration of the Web

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Publisher : Springer Science & Business Media
ISBN 13 : 9783790815290
Total Pages : 440 pages
Book Rating : 4.8/5 (152 download)

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Book Synopsis Intelligent Exploration of the Web by : Piotr S. Szczepaniak

Download or read book Intelligent Exploration of the Web written by Piotr S. Szczepaniak and published by Springer Science & Business Media. This book was released on 2002-11-26 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Web is the nervous system of information society. As such, it has a pervasive influence on our daily lives. And yet, in some ways the Web does not have a high MIQ (Machine IQ). What can be done to enhance it? This is the leitmotif of "Intelligent Exploration of the Web," (lEW)--a collection of articles co-edited by Drs. Szczepaniak, Segovia, Kacprzyk and, to a small degree, myself. The articles that comprise lEW address many basic problems ranging from structure analysis of Internet documents and Web dialogue management to intelligent Web agents for extraction of information, and bootstrapping an ontology-based information extraction system. Among the basic problems, one that stands out in importance is the problem of search. Existing search engines have many remarkable capabilities. But what is not among them is the deduction capability--the capability to answer a query by drawing on information which resides in various parts of the knowledge base. An example of a query might be "How many Ph.D. degrees in computer science were granted by European universities in 1996?" No existing search engine is capable of dealing with queries of comparable or even much lower complexity. Basically, what we would like to do is to add deduction capability to a search engine, with the aim of transforming it into a question-answering system, or a QI A system, for short. This is a problem that is of major importance and a challenge that is hard to meet.

Graph Mining

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 160845116X
Total Pages : 209 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Graph Mining by : Deepayan Chakrabarti

Download or read book Graph Mining written by Deepayan Chakrabarti and published by Morgan & Claypool Publishers. This book was released on 2012-10-01 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs in text retrieval, person-account graphs in financial fraud detection, and others. In this work, first we list several surprising patterns that real graphs tend to follow. Then we give a detailed list of generators that try to mirror these patterns. Generators are important, because they can help with "what if" scenarios, extrapolations, and anonymization. Then we provide a list of powerful tools for graph analysis, and specifically spectral methods (Singular Value Decomposition (SVD)), tensors, and case studies like the famous "pageRank" algorithm and the "HITS" algorithm for ranking web search results. Finally, we conclude with a survey of tools and observations from related fields like sociology, which provide complementary viewpoints. Table of Contents: Introduction / Patterns in Static Graphs / Patterns in Evolving Graphs / Patterns in Weighted Graphs / Discussion: The Structure of Specific Graphs / Discussion: Power Laws and Deviations / Summary of Patterns / Graph Generators / Preferential Attachment and Variants / Incorporating Geographical Information / The RMat / Graph Generation by Kronecker Multiplication / Summary and Practitioner's Guide / SVD, Random Walks, and Tensors / Tensors / Community Detection / Influence/Virus Propagation and Immunization / Case Studies / Social Networks / Other Related Work / Conclusions

Islamist Radicalisation

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Publisher :
ISBN 13 : 9789050311465
Total Pages : 89 pages
Book Rating : 4.3/5 (114 download)

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Book Synopsis Islamist Radicalisation by : Tinka Veldhuis

Download or read book Islamist Radicalisation written by Tinka Veldhuis and published by . This book was released on 2009 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: