Classification, Clustering, and Data Analysis by Krzystof Jajuga
The present volume contains a selection of papers presented at the Eighth Conference of the International Federation of Classification Societies (IFCS) which was held in Cracow, Poland, July 16-19, 2002. All originally submitted papers were subject to a reviewing process by two independent referees, a procedure which resulted in the selection of the 53 articles presented in this volume. These articles relate to theoretical investigations as well as to practical applications and cover a wide range of topics in the broad domain of classifi- cation, data analysis and related methods. If we try to classify the wealth of problems, methods and approaches into some representative (partially over- lapping) groups, we find in particular the following areas: - Clustering - Cluster validation - Discrimination - Multivariate data analysis - Statistical methods - Symbolic data analysis - Consensus trees and phylogeny - Regression trees - Neural networks and genetic algorithms - Applications in economics, medicine, biology, and psychology. Given the international orientation of IFCS conferences and the leading role of IFCS in the scientific world of classification, clustering and data anal- ysis, this volume collects a representative selection of current research and modern applications in this field and serves as an up-to-date information source for statisticians, data analysts, data mining specialists and computer scientists.-
Navigating Complexity
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Classification and Data Analysis
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New Frontiers in Textual Data Analysis
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Advances in Data Analysis
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Selected Contributions in Data Analysis and Classification
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Advances in Data Analysis, Data Handling and Business Intelligence
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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making
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Classification in the Information Age
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Advances in Data Science and Classification
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Data Analysis, Classification, and Related Methods
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Analyzing and Modeling Data and Knowledge
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Information Systems and Data Analysis
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Data Analysis and Classification
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Cooperation in Classification and Data Analysis
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Analysis of Large and Complex Data
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Statistical Learning and Modeling in Data Analysis
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Supervised and Unsupervised Statistical Data Analysis
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Classification - the Ubiquitous Challenge
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New Developments in Classification and Data Analysis
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Data Science
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Data Analysis, Classification and the Forward Search
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Innovations in Classification, Data Science, and Information Systems
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Data Science and Classification
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Data Analysis, Machine Learning and Applications
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Data Science, Classification, and Related Methods
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Information and Classification
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Advances in Multivariate Data Analysis
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Modern Classification and Data Analysis
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Classification and Knowledge Organization
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Data Analysis and Rationality in a Complex World
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Data Analysis and Information Systems
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From Data to Knowledge
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Classification, Data Analysis, and Data Highways
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Data Analysis, Machine Learning and Knowledge Discovery
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Classification, Automation, and New Media
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Exploratory Data Analysis in Empirical Research
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Applications in Statistical Computing
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Data Analysis and Decision Support
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Analysis of Symbolic Data
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Data Analysis
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Classification, Clustering, and Data Mining Applications
| SKU | Unavailable |
| ISBN 13 | 9783540436911 |
| ISBN 10 | 354043691X |
| Title | Classification, Clustering, and Data Analysis |
| Author | Krzystof Jajuga |
| Series | Studies In Classification Data Analysis And Knowledge Organization |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2002-06-26 |
| Number of pages | 508 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |