Data Science and Classification by Vladimir Batagelj
Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.-
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 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 Analysis
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Classification, Clustering, and Data Mining Applications
From the reviews:
"This book is a collection of papers presented at the Tenth Conference of the International Federation of Classification SocietiesThe contributors are primarily statisticians and computer scientists … . The typesetting and page layout are well done, and the graphics are very clear. … The main market for this book would be libraries, and researchers wanting a record of recent advances in statistical learning." (Jeffrey D. Picka, Technometrics, Vol. 49 (3), August, 2007)
| SKU | Unavailable |
| ISBN 13 | 9783540344155 |
| ISBN 10 | 3540344152 |
| Title | Data Science and Classification |
| Author | Vladimir Batagelj |
| Series | Studies In Classification Data Analysis And Knowledge Organization |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2006-07-05 |
| Number of pages | 358 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |