
Classification, Clustering, and Data Mining Applications by David Banks
Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.-
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 Analysis
| SKU | Unavailable |
| ISBN 13 | 9783540220145 |
| ISBN 10 | 3540220143 |
| Title | Classification, Clustering, and Data Mining Applications |
| Author | David Banks |
| Series | Studies In Classification Data Analysis And Knowledge Organization |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2004-06-09 |
| Number of pages | 658 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |








































