Classification, Automation, and New Media


Book Description

Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance, and marketing, and in pattern recognition, biology, health, and archaeology.




Social Media and the Automatic Production of Memory


Book Description

Social media platforms hold vast amounts of data about our lives. Content from the past is increasingly being presented in the form of ‘memories’. Critically exploring this new form of memory making, this unique book asks how social media are beginning to change the way we remember.




Data Science and Classification


Book Description

Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.




Data Analysis, Classification and the Forward Search


Book Description

This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic implementation. The volume offers contributions to the theory of clustering and discrimination, multidimensional data analysis, data mining, and robust statistics with a special emphasis on the novel Forward Search approach. Many papers provide significant insight in a wide range of fields of application. Customer satisfaction and service evaluation are two examples of such emerging fields.




Classification - the Ubiquitous Challenge


Book Description

The contributions in this volume represent the latest research results in the field of Classification, Clustering, and Data Analysis. Besides the theoretical analysis, papers focus on various application fields as Archaeology, Astronomy, Bio-Sciences, Business, Electronic Data and Web, Finance and Insurance, Library Science and Linguistics, Marketing, Music Science, and Quality Assurance.




Innovations in Classification, Data Science, and Information Systems


Book Description

The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.




Classification, Clustering, and Data Mining Applications


Book Description

Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.




Classification, Clustering, and Data Analysis


Book Description

The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.




Research and Advanced Technology for Digital Libraries


Book Description

Welcome to ECDL 2003 and to these conference proceedings, featuring all the papers presented at the 7th European Conference on Research and Advanced Technology for Digital Libraries. Following Pisa (1997), Heraklion (1998), Paris (1999), Lisbon (2000), Da- stadt (2001) and Rome (2002), ECDL 2003 in Trondheim reaches some of the northernmost shores of the continent. Being the seventh in an annual series of conferences represents, for better and for worse, a considerable tradition in the fast changing world of digit- library-related research and development. It is still a di?cult and slow job to change traditional forms and formats of communication at – and related to – scienti?c conferences, and also to change participants’ expectations. Yet each new conference builds upon the topics and communities involved in previous events and inherits the commitment to quality established by its predecessors. Each year, ECDL has to live up to its role of being “the major European forum focusing on digital libraries and associated technical, practical, and social issues,”bringingdiversedisciplinesandapplicationcommunitiestogether.There arestillchallengesinthisrespectaheadofus,butthequalityandrangeofpapers and other contributions, combined with opportunities for debate, should ensure that ECDL 2003 sets high standards for the future.




Language Classification by Numbers


Book Description

This book considers how languages have traditionally been divided into families, and asks how they should be classified in the future. It tests current theories and hypotheses, shows how new ideas can be formulated, and offers a series of demonstrations that the new techniques applied to old data can produce convincing results. It will be of great practical interest to all those concerned with the classification and diffusion of languages in fields such as comparative linguistics,archaeology, genetics, and anthropology.