Classification And Clustering In Business Cycle Analysis
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Classification And Clustering In Business Cycle Analysis
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Author : Ullrich Heilemann
language : en
Publisher: Duncker & Humblot
Release Date : 2007-01-18
Classification And Clustering In Business Cycle Analysis written by Ullrich Heilemann and has been published by Duncker & Humblot this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-18 with Business & Economics categories.
The analysis of cyclical macroeconomic phenomena is an important field of econometric research. In the recent past, research interests have de-emphasized quantitative forecasting exercises and have addressed the qualitative diagnosis of the relative stance of the economy regarding »upswing«, »recession«, or »boom« periods, i. e. the classification of the state of the economy into a limited number of discrete states. In this context the principal challenge is to reduce the multifaceted and sometimes abundant quantitative information about the business cycle to such qualitative statements in an efficient way. For more than six years this task was the focus of the project »Multivariate determination and analysis of business cycles« within the SFB 475 »Reduction of complexity in multivariate data structures«, funded by the German Research Foundation (DFG). The necessity for complexity reduction is, of course, not unique to business cycle analysis but is studied in many fields and in a number of ways. This broad interest in the reduction of problem dimensionality and in the appropriate combination of data and of theory caused the RWI Essen and the Statistical Department of the University of Dortmund in January 2002 to hold a workshop at the RWI Essen where the findings of this and similar projects were presented and discussed. The present publication collects revised versions of the papers presented at this workshop. Although the workshop took place some five years ago, these papers mark an importent juncture in the development of business cycle research.
Applications In Statistical Computing
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Author : Nadja Bauer
language : en
Publisher: Springer Nature
Release Date : 2019-10-12
Applications In Statistical Computing written by Nadja Bauer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-12 with Computers categories.
This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday.
Customer Payment Trend Analysis Based On Clustering For Predicting The Financial Risk Of Business Organizations
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Author : Jeeva Jose
language : en
Publisher: Anchor Academic Publishing
Release Date : 2017
Customer Payment Trend Analysis Based On Clustering For Predicting The Financial Risk Of Business Organizations written by Jeeva Jose and has been published by Anchor Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Business & Economics categories.
With the opening of the Indian economy, many multinational corporations are shifting their manufacturing base to India. This includes setting up green field projects or acquiring established business firms of India. The region of this business unit is expanding globally. The variety and size of the customer base is expanding and the business risk related to bad debts is increasing. Close monitoring and analysis of payment trends helps to predict customer behavior and predict the chances of customer financial strength. The present manufacturing companies generate and store tremendous amount of data. The amount of data is so huge that manual analysis of the data is difficult. This creates a great demand for data mining to extract useful information buried within these data sets. One of the major concerns that affect companies’ investments and profitability is bad debts; this can be reduced by identifying past customer behavior and reaching the suitable payment terms. The Clustering and Prediction module was implemented in WEKA – a free open source software written in Java. This study model can be extended to the development of a general purpose software package to predict payment trends of customers in any organisation.
Classification Clustering And Data Analysis
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Author : Krzystof Jajuga
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Classification Clustering And Data Analysis written by Krzystof Jajuga and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.
Organisational Cultures Networks Clusters Alliances
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Author : Uwe Bußmann
language : en
Publisher: Anchor Academic Publishing (aap_verlag)
Release Date : 2014-02-01
Organisational Cultures Networks Clusters Alliances written by Uwe Bußmann and has been published by Anchor Academic Publishing (aap_verlag) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-01 with Business & Economics categories.
Nowadays, single companies are confronted with great difficulties. The progress of the information technology and the distribution of the Internet as well as the changing demand of customers, especially for no-standardised products force them to react immediately.In order to solve these problems, the companies should work on the following aspects:How can they reach the state of flexibility to meet the changing demand? How can they compete within a market with increasing innovations of products and decreasing product life-cycl? How can they acquire the necessary capital, technology and know-how to compete? How is it possible to optimise their corporate structures and achieve synergetic effects?
Britain And Canada And Their Large Neighboring Monetary Unions
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Author : Amy Verdun
language : en
Publisher: Nova Publishers
Release Date : 2006
Britain And Canada And Their Large Neighboring Monetary Unions written by Amy Verdun and has been published by Nova Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.
Britain is confronted with the EU and its Economic and Monetary Union or the 'eurozone' an area of 12 EU Member States in which the Euro is the single currency. At a time in which the discussion revolves around the future of national currencies, this work looks at the question of monetary integration for the cases of Britain and Canada.
Sharing Economy And Big Data Analytics
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Author : Soraya Sedkaoui
language : en
Publisher: John Wiley & Sons
Release Date : 2020-01-09
Sharing Economy And Big Data Analytics written by Soraya Sedkaoui and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-09 with Mathematics categories.
The different facets of the sharing economy offer numerous opportunities for businesses ? particularly those that can be distinguished by their creative ideas and their ability to easily connect buyers and senders of goods and services via digital platforms. At the beginning of the growth of this economy, the advanced digital technologies generated billions of bytes of data that constitute what we call Big Data. This book underlines the facilitating role of Big Data analytics, explaining why and how data analysis algorithms can be integrated operationally, in order to extract value and to improve the practices of the sharing economy. It examines the reasons why these new techniques are necessary for businesses of this economy and proposes a series of useful applications that illustrate the use of data in the sharing ecosystem.
Classification And Information Processing At The Turn Of The Millennium
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Author : Reinhold Decker
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Classification And Information Processing At The Turn Of The Millennium written by Reinhold Decker and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
This volume contains revised versions of selected papers presented dur ing the 23rd Annual Conference of the German Classification Society GfKl (Gesellschaft fiir Klassifikation). The conference took place at the Univer sity of Bielefeld (Germany) in March 1999 under the title "Classification and Information Processing at the Turn of the Millennium". Researchers and practitioners - interested in data analysis, classification, and information processing in the broad sense, including computer science, multimedia, WWW, knowledge discovery, and data mining as well as spe cial application areas such as (in alphabetical order) biology, finance, genome analysis, marketing, medicine, public health, and text analysis - had the op portunity to discuss recent developments and to establish cross-disciplinary cooperation in their fields of interest. Additionally, software and book pre sentations as well as several tutorial courses were organized. The scientific program of the conference included 18 plenary or semi plenary lectures and more than 100 presentations in special sections. The peer-reviewed papers are presented in 5 chapters as follows: • Data Analysis and Classification • Computer Science, Computational Statistics, and Data Mining • Management Science, Marketing, and Finance • Biology, Genome Analysis, and Medicine • Text Analysis and Information Retrieval As an unambiguous assignment of results to single chapters is sometimes difficult papers are grouped in a way that the editors found appropriate.
Economic Cycles
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Author : Solomos Solomou
language : en
Publisher: Manchester University Press
Release Date : 1998
Economic Cycles written by Solomos Solomou and has been published by Manchester University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Business cycles categories.
The ups and downs of booms and slumps, often referred to as business cycles, are features of all modern economies. This book considers business cycles over three epochs 1870-1913, 1919-1938 and the post-World War II period. It provides an analysis of the key macroeconomic questions relating to economic fluctuations. Why are the ups and down more volatile in some epochs than others? Why are some business cycle shocks more persistent in their effects? Is there an international business cycle? Can present business cycle features predict future patterns? What impact will institutional changes, such as EMU have on future fluctuations?
Classification And Data Analysis
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Author : Krzysztof Jajuga
language : en
Publisher: Springer Nature
Release Date : 2020-08-28
Classification And Data Analysis written by Krzysztof Jajuga and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-28 with Business & Economics categories.
This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18–20, 2019. Providing a balance between theoretical and methodological contributions and empirical papers, it covers a broad variety of topics, ranging from multivariate data analysis, classification and regression, symbolic (and other) data analysis, visualization, data mining, and computer methods to composite measures, and numerous applications of data analysis methods in economics, finance and other social sciences. The book is intended for a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.