Data Analysis and Decision Support (Studies in Classification, Data Analysis, and Knowledge Organization)

✍ Scribed by Daniel Baier(Editor) Reinhold Decker(Editor) Lars Schmidt-Thieme(Editor)

Publisher: Springer
Year: 2005
Tongue: English
Leaves: 361
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

The volume presents recent advances in data analysis and decision support and gives an actual overview on the interface between mathematics, operations research, statistics, computer science, and management science. Areas that receive considerable attention in the book are discrimination and clustering, multidimensional scaling, data mining and decision support systems as well as applications in marketing and corporate planning. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.

📜 SIMILAR VOLUMES

Data Analysis and Decision Support (Stud

📁 Data Analysis and Decision Support (Studies in Classification, Data Analysis, and Knowledge Organization)

✍ Daniel Baier, Reinhold Decker (editor), Lars Schmidt-Thieme (editor) 📂 Library 📅 2005 🏛 Springer 🌐 English

It is a great privilege and pleasure to write a foreword for a book honor ing Wolfgang Gaul on the occasion of his sixtieth birthday. Wolfgang Gaul is currently Professor of Business Administration and Management Science and the Head of the Institute of Decision Theory and Management Science,

Data Analysis and Rationality in a Compl

📁 Data Analysis and Rationality in a Complex World (Studies in Classification, Data Analysis, and Knowledge Organization)

✍ Theodore Chadjipadelis (editor), Berthold Lausen (editor), Angelos Markos (edito 📂 Library 📅 2021 🏛 Springer 🌐 English

This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical m

Statistical Learning and Modeling in Dat

📁 Statistical Learning and Modeling in Data Analysis: Methods and Applications (Studies in Classification, Data Analysis, and Knowledge Organization)

✍ Simona Balzano (editor), Giovanni C. Porzio (editor), Renato Salvatore (editor), 📂 Library 📅 2021 🏛 Springer 🌐 English

The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series of engaging real-world applications. The book covers numerous research topics, ranging from statistical inference and modeling to clustering and factorial me

Classification and Data Science in the D

📁 Classification and Data Science in the Digital Age (Studies in Classification, Data Analysis, and Knowledge Organization)

✍ Paula Brito (editor), José G. Dias (editor), Berthold Lausen (editor), Angela Mo 📂 Library 📅 2023 🏛 Springer 🌐 English

The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from

New Developments in Classification and D

📁 New Developments in Classification and Data Analysis: Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) (Studies in Classification, Data Analysis, and Knowledge Organization)

✍ Maurizio Vichi, Paola Monari, Stefania Mignani, Angela Montanari (Editors) 📂 Library 📅 2005 🌐 English

The volume presents new developments in data analysis and classification. Particular attention is devoted to clustering, discrimination, data analysis and statistics, as well as applications in biology, finance and social sciences. The reader will find theory and algorithms on recent technical and m

Modern Classification and Data Analysis:

📁 Modern Classification and Data Analysis: Methodology and Applications to Micro- and Macroeconomic Problems (Studies in Classification, Data Analysis, and Knowledge Organization)

✍ Krzysztof Jajuga (editor), Grażyna Dehnel (editor), Marek Walesiak (editor) 📂 Library 📅 2022 🏛 Springer 🌐 English

This volume presents a selection of peer-reviewed papers that address the latest developments in the methodology and applications of data analysis and classification tools to micro- and macroeconomic problems. The contributions were originally presented at the 30th Conference of the Section