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Data Analysis, Classification and the Forward Search

Data Analysis, Classification and the Forward Search
Author: Sergio Zani
Publisher: Springer Science & Business Media
Total Pages: 420
Release: 2007-08-06
Genre: Language Arts & Disciplines
ISBN: 3540359788

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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

Data Analysis and Classification
Author: Francesco Palumbo
Publisher: Springer Science & Business Media
Total Pages: 473
Release: 2010-03-14
Genre: Mathematics
ISBN: 3642037399

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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

Classification and Multivariate Analysis for Complex Data Structures
Author: Bernard Fichet
Publisher: Springer Science & Business Media
Total Pages: 460
Release: 2011-03-04
Genre: Mathematics
ISBN: 3642133126

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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

Data Science, Learning by Latent Structures, and Knowledge Discovery
Author: Berthold Lausen
Publisher: Springer
Total Pages: 552
Release: 2015-05-06
Genre: Mathematics
ISBN: 3662449838

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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.


COMPSTAT 2006 - Proceedings in Computational Statistics

COMPSTAT 2006 - Proceedings in Computational Statistics
Author: Alfredo Rizzi
Publisher: Springer Science & Business Media
Total Pages: 530
Release: 2007-12-03
Genre: Mathematics
ISBN: 3790817090

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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).


Advances in Data Analysis

Advances in Data Analysis
Author: Reinhold Decker
Publisher: Springer Science & Business Media
Total Pages: 689
Release: 2007-03-24
Genre: Computers
ISBN: 3540709819

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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.


Data Analysis, Machine Learning and Applications

Data Analysis, Machine Learning and Applications
Author: Christine Preisach
Publisher: Springer Science & Business Media
Total Pages: 714
Release: 2008-04-13
Genre: Computers
ISBN: 354078246X

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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

Handbook of Cluster Analysis
Author: Christian Hennig
Publisher: CRC Press
Total Pages: 753
Release: 2015-12-16
Genre: Business & Economics
ISBN: 1466551895

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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

Statistical Methods and Applications from a Historical Perspective
Author: Fabio Crescenzi
Publisher: Springer
Total Pages: 403
Release: 2014-06-19
Genre: Mathematics
ISBN: 3319055526

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​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

Advances in Intelligent Data Analysis VII
Author: Michael R. Berthold
Publisher: Springer
Total Pages: 382
Release: 2007-08-22
Genre: Computers
ISBN: 3540748253

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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.