Data Science, Classification, and Related Methods PDF Download

Author: Chikio Hayashi
Publisher: Springer Science & Business Media
ISBN: 4431659501
Category : Mathematics
Languages : en
Pages : 786

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Book Description
This volume contains selected papers covering a wide range of topics, including theoretical and methodological advances relating to data gathering, classification and clustering, exploratory and multivariate data analysis, and knowledge seeking and discovery. The result is a broad view of the state of the art, making this an essential work not only for data analysts, mathematicians, and statisticians, but also for researchers involved in data processing at all stages from data gathering to decision making.

Author: DUFOUR Jean-Yves
Publisher: Lavoisier
ISBN: 2746288907
Category :
Languages : en
Pages : 386

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Book Description
L’utilisation croissante de la vidéoprotection rend nécessaire la mise en place de fonctions d’analyse vidéo pour alléger voire automatiser des tâches aujourd’hui entièrement réalisées par des opérateurs. Après avoir dressé un panorama des avancées et des perspectives en analyse d’image, cet ouvrage détaille les principales fonctions d’analyse vidéo, comme la détection, le suivi et la reconnaissance d’objets d’intérêt (personnes ou véhicules) ou les fonctions de « haut-niveau » visant à interpréter les scènes observées (évènements, comportements, nature de la scène...). Les besoins sont illustrés sous l’angle de deux applications majeures, la sécurité des transports et l’investigation. Les contraintes d’ordres juridique et éthique sont présentées, ainsi que les caractéristiques des données vidéo traitées, au travers des caméras et des méthodes de compression utilisées. La problématique de l’évaluation de performance, tant au niveau opérationnel qu’au niveau des fonctions d’analyse, est également exposée.

Author: Hans-Hermann Bock
Publisher: Springer Science & Business Media
ISBN: 3642571557
Category : Mathematics
Languages : en
Pages : 444

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Book Description
This book presents the most recent methods for analyzing and visualizing symbolic data. It generalizes classical methods of exploratory, statistical and graphical data analysis to the case of complex data. Several benchmark examples from National Statistical Offices illustrate the usefulness of the methods. The book contains an extensive bibliography and a subject index.

Author: Henri Cohen
Publisher: Elsevier
ISBN: 008045741X
Category : Psychology
Languages : en
Pages : 1136

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Book Description
Categorization, the basic cognitive process of arranging objects into categories, is a fundamental process in human and machine intelligence and is central to investigations and research in cognitive science. Until now, categorization has been approached from singular disciplinary perspectives with little overlap or communication between the disciplines involved (Linguistics, Psychology, Philosophy, Neuroscience, Computer Science, Cognitive Anthropology). Henri Cohen and Claire Lefebvre have gathered together a stellar collection of contributors in this unique, ambitious attempt to bring together converging disciplinary and conceptual perspectives on this topic. "Categorization is a key concept across the range of cognitive sciences, including linguistics and philosophy, yet hitherto it has been hard to find accounts that go beyond the concerns of one or two individual disciplines. The Handbook of Categorization in Cognitive Science provides just the sort of interdisciplinary approach that is necessary to synthesize knowledge from the different fields and provide the basis for future innovation." Professor Bernard Comrie, Department of Linguistics, Max Planck Institute for Evolutionary Anthropology, Germany "Anyone concerned with language, semantics, or categorization will want to have this encyclopedic collection." Professor Eleanor Rosch, Dept of Psychology, University of California, Berkeley, USA

Author: Henri Savall
Publisher: IAP
ISBN: 1617354775
Category : Business & Economics
Languages : en
Pages : 441

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Book Description
The impetus for this work emerged from Savall’s belief that there is a doubleloop interaction between social and economic factors in organizations, between behaviors and structures, and between the quality of life in organizations and their economic performance. When managers underestimate this dynamic interaction, the resulting tension ultimately manifests in lowered performance and increased costs, what he refers to as the “hidden costs” of organizational life. Only by delving into the depths of these organizational dynamics can we hope to fully understand – and create the basis for improving – organizational performance. The Qualimetrics Approach presents a different and challenging way of thinking about analyzing organizations, one that draws together quantitative information, financial analysis and qualitative insights into organizational dynamics. As Savall and Zardet argue, to gain a true understanding of what is happening in organizations, intervener-researchers must focus on all three perspectives, as ignoring any one of them will lead to incomplete understandings. Their approach underscores the importance of using qualitative data to validate quantitative depictions (“the numbers”) of organizational performance in understanding the construction of financial statements. The strength of Savall and Zardet’s approach is that it pushes us to go deeper, to fully understand the narratives underlying the numbers and the social construction of our financial assessments.

Author: Jacques Janssen
Publisher: Springer
ISBN: 1461567904
Category : Mathematics
Languages : en
Pages : 370

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Book Description
This book is the result of the fourth International Symposium on Data Analysis held on June 1985 at the Universite Libre de Bruxelles with the help'of the European Institute for Advanced Management. As the preceding ones, the organization of the Symposium started with a call for real life problems from which an International Com mittee selected six topics and asked for several solutions. These topics are : I) Multivariate and longitudinal data on growing children 2) Prehistoric assemblages and lithic artifacts from a small We- european area 3) A comparison of results of European elections 4) Classification of heterogeneous data related to microcomputers 5) Group technology in production management 6) Juvenile gelinquency They are covered by the S1X chapters of this book in the following systematic way : a) firstly, a presentation of the problem is given in the original context of the relevant discipline (Medicine, archaelogy, politics, marketing, production and education); b) Secondly, we present the solution found by people who presents the problem; c) thirdly, we find the other retained solutions among the most significative ones; v vi PREFACE d) finally, a short conclusion compares the different approaches. The diversity of the six selected problems clearly shows that Data Analysis can be used for solving a wide variety of problems. Moreover, the fact that each problem is approached by several dif ferent way - at least two - also shows that, in general, a "univer sal" statistical method does not exist.

Author: Paula Brito
Publisher: Springer Science & Business Media
ISBN: 3540735607
Category : Mathematics
Languages : en
Pages : 619

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Book Description
This volume presents recent methodological developments in data analysis and classification. It covers a wide range of topics, including methods for classification and clustering, dissimilarity analysis, consensus methods, conceptual analysis of data, and data mining and knowledge discovery in databases. The book also presents a wide variety of applications, in fields such as biology, micro-array analysis, cyber traffic, and bank fraud detection.

Author: Paul Atkinson
Publisher: SAGE
ISBN: 9780761964810
Category : Language Arts & Disciplines
Languages : en
Pages : 390

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Book Description
Offers an introduction to a range of research methods with the objective of clarifying procedures, good practice and public accountability. This book covers different ways of collecting data and different types of data relating to text, image and sound. It also introduces the main analytic approaches for text, image and sound.

Author: Doug Fisher
Publisher: Springer Science & Business Media
ISBN: 1461224047
Category : Mathematics
Languages : en
Pages : 444

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Book Description
Ten years ago Bill Gale of AT&T Bell Laboratories was primary organizer of the first Workshop on Artificial Intelligence and Statistics. In the early days of the Workshop series it seemed clear that researchers in AI and statistics had common interests, though with different emphases, goals, and vocabularies. In learning and model selection, for example, a historical goal of AI to build autonomous agents probably contributed to a focus on parameter-free learning systems, which relied little on an external analyst's assumptions about the data. This seemed at odds with statistical strategy, which stemmed from a view that model selection methods were tools to augment, not replace, the abilities of a human analyst. Thus, statisticians have traditionally spent considerably more time exploiting prior information of the environment to model data and exploratory data analysis methods tailored to their assumptions. In statistics, special emphasis is placed on model checking, making extensive use of residual analysis, because all models are 'wrong', but some are better than others. It is increasingly recognized that AI researchers and/or AI programs can exploit the same kind of statistical strategies to good effect. Often AI researchers and statisticians emphasized different aspects of what in retrospect we might now regard as the same overriding tasks.

Author: Edwin Diday
Publisher: John Wiley & Sons
ISBN: 9780470723555
Category : Mathematics
Languages : en
Pages : 476

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Book Description
Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from such data. Symbolic data methods differ from that of data mining, for example, because rather than identifying points of interest in the data, symbolic data methods allow the user to build models of the data and make predictions about future events. This book is the result of the work f a pan-European project team led by Edwin Diday following 3 years work sponsored by EUROSTAT. It includes a full explanation of the new SODAS software developed as a result of this project. The software and methods described highlight the crossover between statistics and computer science, with a particular emphasis on data mining.