Statistical Models for Data Analysis

Author: Paolo Giudici
Publisher: Springer Science & Business Media
ISBN: 3319000322
Format: PDF, ePub, Mobi
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The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society. ​

Classification Data Analysis and Knowledge Organization

Author: Hans-Hermann Bock
Publisher: Springer Science & Business Media
ISBN: 3642763073
Format: PDF, Mobi
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In science, industry, public administration and documentation centers large amounts of data and information are collected which must be analyzed, ordered, visualized, classified and stored efficiently in order to be useful for practical applications. This volume contains 50 selected theoretical and applied papers presenting a wealth of new and innovative ideas, methods, models and systems which can be used for this purpose. It combines papers and strategies from two main streams of research in an interdisciplinary, dynamic and exciting way: On the one hand, mathematical and statistical methods are described which allow a quantitative analysis of data, provide strategies for classifying objects or making exploratory searches for interesting structures, and give ways to make comprehensive graphical displays of large arrays of data. On the other hand, papers related to information sciences, informatics and data bank systems provide powerful tools for representing, modelling, storing and retrieving facts, data and knowledge characterized by qualitative descriptors, semantic relations, or linguistic concepts. The integration of both fields and a special part on applied problems from biology, medicine, archeology, industry and administration assure that this volume will be informative and useful for theory and practice.

New Perspectives in Statistical Modeling and Data Analysis

Author: Salvatore Ingrassia
Publisher: Springer Science & Business Media
ISBN: 9783642113635
Format: PDF, Kindle
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This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas. Particular attention is devoted to methodological issues in clustering, statistical modeling and data mining. The volume also contains significant contributions to a wide range of applications such as finance, marketing, and social sciences. The papers in this volume were first presented at the 7th Conference of the Classification and Data Analysis Group (ClaDAG) of the Italian Statistical Society, held at the University of Catania, Italy.

Advances in Statistical Models for Data Analysis

Author: Isabella Morlini
Publisher: Springer
ISBN: 3319173774
Format: PDF
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This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy.

From Data to Knowledge

Author: Wolfgang A. Gaul
Publisher: Springer Science & Business Media
ISBN: 364279999X
Format: PDF, ePub, Mobi
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The subject of this book is the incorporation and integration of mathematical and statistical techniques and information science topics into the field of classification, data analysis, and knowledge organization. Readers will find survey papers as well as research papers and reports on newest results. The papers are a combination of theoretical issues and applications in special fields: Spatial Data Analysis, Economics, Medicine, Biology, and Linguistics.

Data Science Classification and Related Methods

Author: Chikio Hayashi
Publisher: Springer Science & Business Media
ISBN: 4431659501
Format: PDF, Mobi
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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.

Classification Big Data Analysis and Statistical Learning

Author: Francesco Mola
Publisher: Springer
ISBN: 3319557084
Format: PDF
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This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8–10, 2015.

Classification and Knowledge Organization

Author: Gesellschaft für Klassifikation. Jahrestagung
Publisher: Springer Science & Business Media
ISBN: 9783540629818
Format: PDF, ePub
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This volume presents 71 articles dealing with models and methods of data analysis and classification, statistics and stochastics, information systems and text analysis as well as manifold applications. Eight sections have been arranged: Data Analysis and Classification. Neural Networks and Pattern Recognition. Statistical Models and Methods. Information Systems: Design and Implementation. Text Analysis and Information Retrieval. Applications in Medicine. Applications in Economics and Social Sciences. Applications in Archaeology, Biology, Linguistics and Dialectometry. The grouping shows how theoretical aspects, applications and interdisciplinarities are interrelated in many respects.

Data Analysis and Classification

Author: Francesco Palumbo
Publisher: Springer Science & Business Media
ISBN: 9783642037399
Format: PDF, ePub, Docs
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This volume provides new methodological developments in data analysis and classification. Many of the most typical topics and new interesting emerging subjects typical for classification and data analysis are treated in the volume. Papers cover both teoretical and empirical aspects. Papers cover both teoretical and empirical aspects and are grouped in the following nine parts: Cluster analysis; Multidimensional scaling; Multivariate analysis and applications; Classification and classification trees; Statistical models; Latent variables; Knowledge extraction from temporal data; Statistical methods for financial and economics data; Missing values.