Data Analysis Classification And The Forward Search

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Data Analysis, Classification and the Forward Search

Author : Sergio Zani,Andrea Cerioli,Marco Riani,Maurizio Vichi
Publisher : Springer Science & Business Media
Page : 420 pages
File Size : 44,5 Mb
Release : 2007-08-06
Category : Language Arts & Disciplines
ISBN : 9783540359784

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Data Analysis, Classification and the Forward Search by Sergio Zani,Andrea Cerioli,Marco Riani,Maurizio Vichi Pdf

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.

Data Analysis and Classification

Author : Francesco Palumbo,Carlo Natale Lauro,Michael Greenacre
Publisher : Springer Science & Business Media
Page : 473 pages
File Size : 45,7 Mb
Release : 2010-03-14
Category : Mathematics
ISBN : 9783642037399

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Data Analysis and Classification by Francesco Palumbo,Carlo Natale Lauro,Michael Greenacre Pdf

The volume provides results from the latest methodological developments in data analysis and classification and highlights new emerging subjects within the field. It contains articles about statistical models, classification, cluster analysis, multidimensional scaling, multivariate analysis, latent variables, knowledge extraction from temporal data, financial and economic applications, and missing values. Papers cover both theoretical and empirical aspects.

Classification and Multivariate Analysis for Complex Data Structures

Author : Bernard Fichet,Domenico Piccolo,Rosanna Verde,Maurizio Vichi
Publisher : Springer Science & Business Media
Page : 460 pages
File Size : 45,9 Mb
Release : 2011-03-04
Category : Mathematics
ISBN : 9783642133121

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Classification and Multivariate Analysis for Complex Data Structures by Bernard Fichet,Domenico Piccolo,Rosanna Verde,Maurizio Vichi Pdf

The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics.

Data Science, Learning by Latent Structures, and Knowledge Discovery

Author : Berthold Lausen,Sabine Krolak-Schwerdt,Matthias Böhmer
Publisher : Springer
Page : 560 pages
File Size : 45,9 Mb
Release : 2015-05-06
Category : Mathematics
ISBN : 9783662449837

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Data Science, Learning by Latent Structures, and Knowledge Discovery by Berthold Lausen,Sabine Krolak-Schwerdt,Matthias Böhmer Pdf

This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking and finance; engineering; geography and geology; archeology, sociology, educational sciences, linguistics and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.

Advances in Data Analysis

Author : Reinhold Decker,Hans-Joachim Lenz
Publisher : Springer Science & Business Media
Page : 687 pages
File Size : 55,6 Mb
Release : 2007-03-24
Category : Computers
ISBN : 9783540709817

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Advances in Data Analysis by Reinhold Decker,Hans-Joachim Lenz Pdf

This book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. Coverage details a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and data mining and reports a host of challenging applications in various fields.

COMPSTAT 2006 - Proceedings in Computational Statistics

Author : Alfredo Rizzi,Maurizio Vichi
Publisher : Springer Science & Business Media
Page : 530 pages
File Size : 54,6 Mb
Release : 2007-12-03
Category : Mathematics
ISBN : 9783790817096

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COMPSTAT 2006 - Proceedings in Computational Statistics by Alfredo Rizzi,Maurizio Vichi Pdf

International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section of the International Statistical Institute. The objectives of the Association are to foster world-wide interest in e?ective statistical computing and to - change technical knowledge through international contacts and meetings - tween statisticians, computing professionals, organizations, institutions, g- ernments and the general public. The IASC organises its own Conferences, IASC World Conferences, and COMPSTAT in Europe. The 17th Conference of ERS-IASC, the biennial meeting of European - gional Section of the IASC was held in Rome August 28 - September 1, 2006. This conference took place in Rome exactly 20 years after the 7th COMP- STAT symposium which was held in Rome, in 1986. Previous COMPSTAT conferences were held in: Vienna (Austria, 1974); West-Berlin (Germany, 1976); Leiden (The Netherlands, 1978); Edimbourgh (UK, 1980); Toulouse (France, 1982); Prague (Czechoslovakia, 1984); Rome (Italy, 1986); Copenhagen (Denmark, 1988); Dubrovnik (Yugoslavia, 1990); Neuchˆ atel (Switzerland, 1992); Vienna (Austria,1994); Barcelona (Spain, 1996);Bristol(UK,1998);Utrecht(TheNetherlands,2000);Berlin(Germany, 2002); Prague (Czech Republic, 2004).

Data Analysis, Machine Learning and Applications

Author : Christine Preisach,Hans Burkhardt,Lars Schmidt-Thieme,Reinhold Decker
Publisher : Springer Science & Business Media
Page : 714 pages
File Size : 44,5 Mb
Release : 2008-04-13
Category : Computers
ISBN : 9783540782469

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Data Analysis, Machine Learning and Applications by Christine Preisach,Hans Burkhardt,Lars Schmidt-Thieme,Reinhold Decker Pdf

Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

Handbook of Cluster Analysis

Author : Christian Hennig,Marina Meila,Fionn Murtagh,Roberto Rocci
Publisher : CRC Press
Page : 753 pages
File Size : 50,6 Mb
Release : 2015-12-16
Category : Business & Economics
ISBN : 9781466551893

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Handbook of Cluster Analysis by Christian Hennig,Marina Meila,Fionn Murtagh,Roberto Rocci Pdf

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools.The

Statistical Methods and Applications from a Historical Perspective

Author : Fabio Crescenzi,Stefania Mignani
Publisher : Springer
Page : 403 pages
File Size : 55,7 Mb
Release : 2014-06-19
Category : Mathematics
ISBN : 9783319055527

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Statistical Methods and Applications from a Historical Perspective by Fabio Crescenzi,Stefania Mignani Pdf

​The book showcases a selection of peer-reviewed papers, the preliminary versions of which were presented at a conference held 11-13 June 2011 in Bologna and organized jointly by the Italian Statistical Society (SIS), the Institute national Institute of Statistics (ISTAT) and the Bank of Italy. The theme of the conference was "Statistics in the 150 years of the Unification of Italy." The celebration of the anniversary of Italian unification provided the opportunity to examine and discuss the methodological aspects and applications from a historical perspective and both from a national and international point of view. The critical discussion on the issues of the past has made it possible to focus on recent advances, considering the studies of socio-economic and demographic changes in European countries.

Advances in Intelligent Data Analysis VII

Author : Michael R. Berthold,John Shawe-Taylor,Nada Lavrač
Publisher : Springer
Page : 382 pages
File Size : 53,9 Mb
Release : 2007-08-22
Category : Computers
ISBN : 9783540748250

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Advances in Intelligent Data Analysis VII by Michael R. Berthold,John Shawe-Taylor,Nada Lavrač Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Intelligent Data Analysis, IDA 2007, held in Ljubljana, Slovenia. The 33 revised papers were carefully reviewed and selected from almost 100 submissions. The book covers all current aspects of this interdisciplinary field, including statistics, machine learning, data mining, classification and pattern recognition, clustering, applications, modeling, and interactive dynamic data visualization.

Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences

Author : John J. McArdle,Gilbert Ritschard
Publisher : Routledge
Page : 496 pages
File Size : 43,5 Mb
Release : 2013-08-15
Category : Psychology
ISBN : 9781135044091

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Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences by John J. McArdle,Gilbert Ritschard Pdf

This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets. Methodological findings and conceptual models that explain reliable EDM techniques for predicting and understanding various risk mechanisms are integrated throughout. Numerous examples illustrate the use of these techniques in practice. Contributors provide insight through hands-on experiences with their own use of EDM techniques in various settings. Readers are also introduced to the most popular EDM software programs. A related website at http://mephisto.unige.ch/pub/edm-book-supplement/offers color versions of the book’s figures, a supplemental paper to chapter 3, and R commands for some chapters. The results of EDM analyses can be perilous – they are often taken as predictions with little regard for cross-validating the results. This carelessness can be catastrophic in terms of money lost or patients misdiagnosed. This book addresses these concerns and advocates for the development of checks and balances for EDM analyses. Both the promises and the perils of EDM are addressed. Editors McArdle and Ritschard taught the "Exploratory Data Mining" Advanced Training Institute of the American Psychological Association (APA). All contributors are top researchers from the US and Europe. Organized into two parts--methodology and applications, the techniques covered include decision, regression, and SEM tree models, growth mixture modeling, and time based categorical sequential analysis. Some of the applications of EDM (and the corresponding data) explored include: selection to college based on risky prior academic profiles the decline of cognitive abilities in older persons global perceptions of stress in adulthood predicting mortality from demographics and cognitive abilities risk factors during pregnancy and the impact on neonatal development Intended as a reference for researchers, methodologists, and advanced students in the social and behavioral sciences including psychology, sociology, business, econometrics, and medicine, interested in learning to apply the latest exploratory data mining techniques. Prerequisites include a basic class in statistics.

Advanced Procrustes Analysis Models in Photogrammetric Computer Vision

Author : Fabio Crosilla,Alberto Beinat,Andrea Fusiello,Eleonora Maset,Domenico Visintini
Publisher : Springer
Page : 172 pages
File Size : 41,5 Mb
Release : 2019-02-28
Category : Technology & Engineering
ISBN : 9783030117603

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Advanced Procrustes Analysis Models in Photogrammetric Computer Vision by Fabio Crosilla,Alberto Beinat,Andrea Fusiello,Eleonora Maset,Domenico Visintini Pdf

This book gives a comprehensive view of the developed procrustes models, including the isotropic, the generalized and the anisotropic variants. These represent original tools to perform, among others, the bundle block adjustment and the global registration of multiple 3D LiDAR point clouds. Moreover, the book also reports the recently derived total least squares solution of the anisotropic Procrustes model, together with its practical application in solving the exterior orientation of one image. The book is aimed at all those interested in discovering valuable innovative algorithms for solving various photogrammetric computer vision problems. In this context, where functional models are non-linear, Procrustean methods prove to be powerful since they do not require any linearization nor approximated values of the unknown parameters, furnishing at the same time results comparable in terms of accuracy with those given by the state-of-the-art methods.

Data Mining Algorithms

Author : Pawel Cichosz
Publisher : John Wiley & Sons
Page : 720 pages
File Size : 50,7 Mb
Release : 2014-11-10
Category : Mathematics
ISBN : 9781118950845

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Data Mining Algorithms by Pawel Cichosz Pdf

Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R.

Sustainable Digital Communities

Author : Anneli Sundqvist,Gerd Berget,Jan Nolin,Kjell Ivar Skjerdingstad
Publisher : Springer Nature
Page : 911 pages
File Size : 47,9 Mb
Release : 2020-03-19
Category : Computers
ISBN : 9783030436872

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Sustainable Digital Communities by Anneli Sundqvist,Gerd Berget,Jan Nolin,Kjell Ivar Skjerdingstad Pdf

This volume constitutes the proceedings of the 15th International Conference on Sustainable Digital Communities, iConference 2020, held in Boras, Sweden, in March 2020. The 27 full papers and the 48 short papers presented in this volume were carefully reviewed and selected from 178 submissions. They cover topics such as: sustainable communities; social media; information behavior; information literacy; user experience; inclusion; education; public libraries; archives and records; future of work; open data; scientometrics; AI and machine learning; methodological innovation.

Text Analytics

Author : Domenica Fioredistella Iezzi,Damon Mayaffre,Michelangelo Misuraca
Publisher : Springer Nature
Page : 298 pages
File Size : 40,9 Mb
Release : 2020-11-24
Category : Social Science
ISBN : 9783030526801

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Text Analytics by Domenica Fioredistella Iezzi,Damon Mayaffre,Michelangelo Misuraca Pdf

Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing.