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Adaptive Resonance Theory In Social Media Data Clustering
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Book Synopsis Adaptive Resonance Theory in Social Media Data Clustering by : Lei Meng
Download or read book Adaptive Resonance Theory in Social Media Data Clustering written by Lei Meng and published by Springer. This book was released on 2019-04-30 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we can discover from such big data: Basic knowledge (data & challenges) on social media analytics Clustering as a fundamental technique for unsupervised knowledge discovery and data mining A class of neural inspired algorithms, based on adaptive resonance theory (ART), tackling challenges in big social media data clustering Step-by-step practices of developing unsupervised machine learning algorithms for real-world applications in social media domain Adaptive Resonance Theory in Social Media Data Clustering stands on the fundamental breakthrough in cognitive and neural theory, i.e. adaptive resonance theory, which simulates how a brain processes information to perform memory, learning, recognition, and prediction. It presents initiatives on the mathematical demonstration of ART’s learning mechanisms in clustering, and illustrates how to extend the base ART model to handle the complexity and characteristics of social media data and perform associative analytical tasks. Both cutting-edge research and real-world practices on machine learning and social media analytics are included in the book and if you wish to learn the answers to the following questions, this book is for you: How to process big streams of multimedia data? How to analyze social networks with heterogeneous data? How to understand a user’s interests by learning from online posts and behaviors? How to create a personalized search engine by automatically indexing and searching multimodal information resources? .
Book Synopsis Cluster Analysis for Applications by : Michael R. Anderberg
Download or read book Cluster Analysis for Applications written by Michael R. Anderberg and published by Academic Press. This book was released on 2014-05-10 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cluster Analysis for Applications deals with methods and various applications of cluster analysis. Topics covered range from variables and scales to measures of association among variables and among data units. Conceptual problems in cluster analysis are discussed, along with hierarchical and non-hierarchical clustering methods. The necessary elements of data analysis, statistics, cluster analysis, and computer implementation are integrated vertically to cover the complete path from raw data to a finished analysis. Comprised of 10 chapters, this book begins with an introduction to the subject of cluster analysis and its uses as well as category sorting problems and the need for cluster analysis algorithms. The next three chapters give a detailed account of variables and association measures, with emphasis on strategies for dealing with problems containing variables of mixed types. Subsequent chapters focus on the central techniques of cluster analysis with particular reference to computational considerations; interpretation of clustering results; and techniques and strategies for making the most effective use of cluster analysis. The final chapter suggests an approach for the evaluation of alternative clustering methods. The presentation is capped with a complete set of implementing computer programs listed in the Appendices to make the use of cluster analysis as painless and free of mechanical error as is possible. This monograph is intended for students and workers who have encountered the notion of cluster analysis.
Book Synopsis Advanced Data Mining and Applications by : Xiaochun Yang
Download or read book Advanced Data Mining and Applications written by Xiaochun Yang and published by Springer Nature. This book was released on 2023-12-06 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.
Book Synopsis Machine Learning Techniques for Multimedia by : Matthieu Cord
Download or read book Machine Learning Techniques for Multimedia written by Matthieu Cord and published by Springer Science & Business Media. This book was released on 2008-02-07 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Arising from the EU MUSCLE network, this multidisciplinary book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain.
Book Synopsis Understanding Media Semiotics by : Marcel Danesi
Download or read book Understanding Media Semiotics written by Marcel Danesi and published by Bloomsbury Publishing. This book was released on 2018-11-15 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Media semiotics is a valuable method of focusing on the hidden meanings within media texts. This new edition brings Understanding Media Semiotics fully up to date and is written for students of the media, of linguistics and those interested in studying the ever-changing media in more detail. Offering an in-depth guide to help students investigate and understand the media using semiotic theory, this book assumes little previous knowledge of semiotics or linguistics, avoiding jargon and explaining the issues step by step. With in-depth case studies, practical accounts and directed further reading, Understanding Media Semiotics provides students with all the tools they need to understand semiotic analysis in the context of the media. Semiotic analysis is sometimes seen as complicated and difficult to understand; Marcel Danesi shows that on the contrary it can be readily understood and can greatly enrich students' understanding of media texts, from print media right through to the internet and apps.
Book Synopsis Cities and the Digital Revolution by : Zaheer Allam
Download or read book Cities and the Digital Revolution written by Zaheer Allam and published by Springer Nature. This book was released on 2019-10-16 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the emergence and development of data in cities. It exposes how Information Communication Technology (ICT) corporations seeking to capitalize on cities developing needs for urban technologies have contributed to many of the issues we are faced with today, including urbanization, centralization of wealth and climate change. Using several case studies, the book provides examples of the, in part, detrimental effects ICT driven ‘Smart City’ solutions have had and will have on the human characteristics that contribute to the identity and sense of belonging innate to many of our cities. The rise in Artificial Intelligence, Big Data, and technologies like social media, has changed how people interact with and in cities, and Allam discusses of how these changes require planners, engineers and other urban professionals to adjust their approach. The main question the book seeks to address is ‘how can we use emerging technologies to recalibrate our cities and ensure increased livability, whilst also effectively dealing with their associate challenges?’ This is an ongoing conversation, but one that requires extensive thought as it has extensive consequences. This book will be of interest to students, academics, professionals and policy makers across a broad range of subjects including urban studies, architecture and STS, geography and social policy.
Book Synopsis An Analysis of Pattern Clustering Using Adaptive Resonance Theory Neural Networks by : Joseph J. Oslakovic
Download or read book An Analysis of Pattern Clustering Using Adaptive Resonance Theory Neural Networks written by Joseph J. Oslakovic and published by . This book was released on 1991 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Web Data Mining written by Bing Liu and published by Springer Science & Business Media. This book was released on 2011-06-25 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.
Book Synopsis Variation and Change in the Encoding of Motion Events by : Juliana Goschler
Download or read book Variation and Change in the Encoding of Motion Events written by Juliana Goschler and published by John Benjamins Publishing. This book was released on 2013-11-14 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: The linguistic typology of motion event encoding is one of the central topics in Cognitive Linguistics. A vast body of typological, contrastive, and psycholinguistic research has shown the potential, but also the limitations of the original distinction between verb-framed and satellite-framed languages. This volume contains ten original papers focusing specifically on the variation and change of motion event encoding in individual languages and language families. The authors show that some of the central claims about motion event encoding need careful re-examination and reformulation and that individual languages and language families are more variable across space and time than even a refined typology could neatly capture at this time. The volume thus contributes to a more detailed and fine-grained foundation for the investigation of conceptual causes and consequences of different motion-event encoding strategies.
Book Synopsis Using Analytical Frameworks for Classroom Research by : Susan Rodrigues
Download or read book Using Analytical Frameworks for Classroom Research written by Susan Rodrigues and published by Routledge. This book was released on 2010-02-25 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory collection brings together contributions from a range of international researchers, each working within their own traditions, to explore current perspectives on the use of analytical approaches in education. Providing a close examination of cutting-edge data analysis techniques, each contribution describes a set of tools to assist prospective researchers as they decide which analytical approach or approaches best suit their own research endeavours. Exploring theoretical approaches from both a macro and a micro perspective, each chapter: Outlines the theoretical assumptions of the approach Highlights the constraints and tensions within the approach Contextualises the tradition in which the approach is located Provides data and case studies to illustrate how the approach is used in classroom research and the realities of practice In the final chapter a cross-comparison between the approaches covered is presented, allowing researchers to better understand which approach is most suitable for their project. Essential reading for all those interested in the theory behind the analytical approach, this book will appeal to all postgraduates, researchers, and academics engaged in research in educational settings.
Book Synopsis ANALYSIS OF ADAPTIVE RESONANCE THEORY FOR DIAGNOSTIC UNDERSTANDING OF EPILEPSY by : Dr. Alpika Tripathi
Download or read book ANALYSIS OF ADAPTIVE RESONANCE THEORY FOR DIAGNOSTIC UNDERSTANDING OF EPILEPSY written by Dr. Alpika Tripathi and published by Book Rivers. This book was released on 2022-07-12 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Methods for Assessing Children's Syntax by : Dana McDaniel
Download or read book Methods for Assessing Children's Syntax written by Dana McDaniel and published by MIT Press. This book was released on 1998 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed in part as a handbook to assist in the choice and use of methods for investigating children's grammer, this volume presents a selection of methods and pointers for designing and conducting experimental studies and for evaluating research.
Book Synopsis Multi-Agent Programming: by : Rafael H. Bordini
Download or read book Multi-Agent Programming: written by Rafael H. Bordini and published by Springer Science & Business Media. This book was released on 2009-06-13 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Agent Systems are a promising technology to develop the next generation open distributed complex software systems. The main focus of the research community has been on the development of concepts (concerning both mental and social attitudes), architectures, techniques, and general approaches to the analysis and specification of multi-agent systems. This contribution has been fragmented, without any clear way of “putting it all together”, rendering it inaccessible to students and young researchers, non-experts, and practitioners. Successful multi-agent systems development is guaranteed only if we can bridge the gap from analysis and design to effective implementation. Multi-Agent Programming: Languages, Tools and Applications presents a number of mature and influential multi-agent programming languages, platforms, development tools and methodologies, and realistic applications, summarizing the state of the art in an accessible manner for professionals and computer science students at all levels.
Book Synopsis Mathematical Tools for Data Mining by : Dan A. Simovici
Download or read book Mathematical Tools for Data Mining written by Dan A. Simovici and published by Springer Science & Business Media. This book was released on 2008-08-15 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume was born from the experience of the authors as researchers and educators,whichsuggeststhatmanystudentsofdataminingarehandicapped in their research by the lack of a formal, systematic education in its mat- matics. The data mining literature contains many excellent titles that address the needs of users with a variety of interests ranging from decision making to p- tern investigation in biological data. However, these books do not deal with the mathematical tools that are currently needed by data mining researchers and doctoral students. We felt it timely to produce a book that integrates the mathematics of data mining with its applications. We emphasize that this book is about mathematical tools for data mining and not about data mining itself; despite this, a substantial amount of applications of mathematical c- cepts in data mining are presented. The book is intended as a reference for the working data miner. In our opinion, three areas of mathematics are vital for data mining: set theory,includingpartially orderedsetsandcombinatorics;linear algebra,with its many applications in principal component analysis and neural networks; and probability theory, which plays a foundational role in statistics, machine learning and data mining. Thisvolumeisdedicatedtothestudyofset-theoreticalfoundationsofdata mining. Two further volumes are contemplated that will cover linear algebra and probability theory. The ?rst part of this book, dedicated to set theory, begins with a study of functionsandrelations.Applicationsofthesefundamentalconceptstosuch- sues as equivalences and partitions are discussed. Also, we prepare the ground for the following volumes by discussing indicator functions, ?elds and?-?elds, and other concepts.
Book Synopsis Theory of Group Representations and Applications by : Asim Orhan Barut
Download or read book Theory of Group Representations and Applications written by Asim Orhan Barut and published by World Scientific. This book was released on 1986 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lie!algebras - Topological!groups - Lie!groups - Representations - Special!functions - Induced!representations.
Book Synopsis Multidimensional Data Visualization by : Gintautas Dzemyda
Download or read book Multidimensional Data Visualization written by Gintautas Dzemyda and published by Springer Science & Business Media. This book was released on 2012-11-08 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine). The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed. The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed. The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents. This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.
Book Synopsis The Structure of Complex Networks by : Ernesto Estrada
Download or read book The Structure of Complex Networks written by Ernesto Estrada and published by Oxford University Press. This book was released on 2012 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book integrates approaches from mathematics, physics and computer sciences to analyse the organisation of complex networks. Every organisational principle of networks is defined, quantified and then analysed for its influences on the properties and functions of molecular, biological, ecological and social networks.
