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? .
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.
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.
Download or read book Understanding Media Semiotics written by Marcel Danesi and published by Bloomsbury Publishing. This book was released on 2017-03-23 with total page 253 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 book offers students an in-depth guide to help them investigate and understand the media using semiotic theory. It assumes little previous knowledge of the field, avoiding jargon and explaining the issues step by step. The two basic features of the methods used are the historical study of media and their genre and the analysis of the meaning structures that such genres encode. 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.
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.
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 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.
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:
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.
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.
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.
Download or read book Smart Computing and Self Adaptive Systems written by Simar Preet Singh and published by CRC Press. This book was released on 2021-12-19 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth. Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.
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.
Download or read book Chiral Recognition in Separation Methods written by Alain Berthod and published by Springer Science & Business Media. This book was released on 2010-06-16 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: What drives a scientist to edit a book on a speci c scienti c subject such as chiral mechanisms in separation methods? Until December 2005, the journal Analytical Chemistry of the American Chemical Society (Washington, DC) had an A-page section that was dedicated to simple and clear presentations of the most recent te- niques or the state of the art in a particular eld or topic. The “A-page” section was prepared for a broad audience of chemists including industrial professionals, s- dents as well as academics looking for information outside their eld of expertise. 1 Daniel W. Armstrong, one of the editors of this journal and a twenty-year+ long friend, invited me to present my view on chiral recognition mechanisms in a simple and clear way in an “A-page” article. In 2006, the “A-page” section was maintained as the rst articles at the beginning of each rst bi-monthly issue but the pagination was no longer page distinguished from the regular research articles published by the journal. During the time between the invitation and the submission, the A-page section was integrated into the rest of the journal and the article appeared as (2006) Anal Chem (78):2093–2099.
Download or read book Key Issues in Organizational Communication written by Owen Hargie and published by Routledge. This book was released on 2004-02-24 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is often said that the practice of management is in crisis, and that managers are now finding it harder than ever to develop strategies which withstand the shocks of the marketplace. This illuminating book cuts through these conflicting issues to show how organizational communication plays a vital role in confronting uncertainty. Arguing that many managers fail to adequately consider the communication consequences of the decision making process and its impact on organizational effectiveness, Hargie and Tourish present here numerous organizational communication insights, and show how they reveal a way through these dilemmas. Based on cutting-edge research findings and case studies, this book features contributions from the UK, USA, Canada, New Zealand and Norway, bringing multiple perspectives to this topical subject. The result is a comprehensive guide to organizational communication useful for managers, academics and students.
Download or read book Financial Data Resampling for Machine Learning Based Trading written by Tomé Almeida Borges and published by Springer Nature. This book was released on 2021-02-22 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boosting, Logistic Regression, Random Forest and Support Vector Classifier to trade with several cryptocurrencies. A new method for resampling financial data is presented as alternative to the classical time sampled data commonly used in financial market trading. The new resampling method uses a closing value threshold to resample the data creating a signal better suited for financial trading, thus achieving higher returns without increased risk. The performance of the algorithm with the new resampling method and the classical time sampled data are compared and the advantages of using the system developed in this work are highlighted.
Download or read book IoT and Analytics for Agriculture written by Prasant Kumar Pattnaik and published by Springer Nature. This book was released on 2019-10-01 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent findings on virtually every aspect of wireless IoT and analytics for agriculture. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. In turn, it addresses the latest innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of IoT and analytics for agriculture. In closing, it explores a range of applications, including: intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems.
