Data Science and Classification
| Autor: | Vladimir Batagelj, Hans-Hermann Bock, Anuška Ferligoj, Aleš Žiberna |
|---|---|
| EAN: | 9783540344162 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 05.09.2006 |
| Kategorie: | |
| Schlagworte: | Boxplot Cluster analysis Item Monte Carlo Simulation Sage Symbol Time series classification data analysis machine learning multidimensional scaling ontology optimization proving web mining |
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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.