Symbolic Data Analysis Workshop PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Symbolic Data Analysis Workshop PDF full book. Access full book title Symbolic Data Analysis Workshop by . Download full books in PDF and EPUB format.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Javier Arroyo
Publisher:
ISBN: 9788469565759
Category :
Languages : en
Pages : 80
Get Book Here
Book Description
Author: Oldemar Rodríguez
Publisher:
ISBN:
Category :
Languages : en
Pages : 106
Get Book Here
Book Description
Author: Edwin Diday
Publisher: John Wiley & Sons
ISBN: 9780470723555
Category : Mathematics
Languages : en
Pages : 476
Get Book Here
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.
Author: Hans-Hermann Bock
Publisher: Springer Science & Business Media
ISBN: 3642571557
Category : Mathematics
Languages : en
Pages : 444
Get Book Here
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: Christos H. Skiadas
Publisher: John Wiley & Sons
ISBN: 1119597579
Category : Mathematics
Languages : en
Pages : 286
Get Book Here
Book Description
This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.
Author: Paula Brito
Publisher: Springer Science & Business Media
ISBN: 3540735585
Category : Computers
Languages : en
Pages : 619
Get Book Here
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: Paola Paoloni
Publisher: Springer
ISBN: 3319651935
Category : Business & Economics
Languages : en
Pages : 221
Get Book Here
Book Description
This volume presents current research on gender studies in the specific context of the knowledge economy. Featuring contributions from the 2017 Annual Ipazia, the Scientific Observatory for Gender Studies Workshop on Gender, this book investigates gender issues and female entrepreneurship from social, economic, corporate, organizational, and management perspectives, with particular emphasis on advancing the understanding of gender in business and economic research. The post-industrial knowledge economy is characterized by an emphasis on human capital as the real engine of sustainable growth and development. With women comprising an increasing share of the global workforce, gender studies play a central role in exploring and understanding the attitudes and skills of women in business and their impact on economic and social development. Gender inequality in public and private contexts is decreasing due to an increase of women in leadership roles in business, the expansion and diversity of females in education, and a larger presence of women in policymaking roles. Ipazia, the Scientific Observatory for Gender Studies, aims to define an updated framework of research, service and projects on women and gender relations to highlight the evolution of gender in business and economics. This volume features contributions on female-owned family business, gender diversity in organizations, gender capital, and immigration from the 2017 Ipazia workshop.
Author: Paula Brito
Publisher: CRC Press
ISBN: 1498725465
Category : Mathematics
Languages : en
Pages : 404
Get Book Here
Book Description
In a time when increasingly larger and complex data collections are being produced, it is clear that new and adaptive forms of data representation and analysis have to be conceived and implemented. Distributional data, i.e., data where a distribution rather than a single value is recorded for each descriptor, on each unit, come into this framework. Distributional data may result from the aggregation of large amounts of open/collected/generated data, or it may be directly available in a structured or unstructured form, describing the variability of some features. This book provides models and methods for the representation, analysis, interpretation, and organization of distributional data, taking into account its specific nature, and not relying on a reduction to single values, to be conform to classical paradigms. Conceived as an edited book, gathering contributions from multiple authors, the book presents alternative representations and analysis’ methods for distributional data of different types, and in particular, -Uni- and bi-variate descriptive statistics for distributional data -Clustering and classification methodologies -Methods for the representation in low-dimensional spaces -Regression models and forecasting approaches for distribution-valued variables Furthermore, the different chapters -Feature applications to show how the proposed methods work in practice, and how results are to be interpreted, -Often provide information about available software. The methodologies presented in this book constitute cutting-edge developments for stakeholders from all domains who produce and analyse large amounts of complex data, to be analysed in the form of distributions. The book is hence of interest for companies operating not only in the area of data analytics, but also on logistics, energy and finance. It also concerns national statistical institutes and other institutions at European and international level, where microdata is aggregated to preserve confidentiality and allow for analysis at the appropriate regional level. Academics will find in the analysis of distributional data a challenging up-to-date field of research.
Author: Rivero, Laura C.
Publisher: IGI Global
ISBN: 1591407958
Category : Education
Languages : en
Pages : 784
Get Book Here
Book Description
"Addresses the evolution of database management, technologies and applications along with the progress and endeavors of new research areas."--P. xiii.
