Data Science and Classification
| Author/creator | Batagelj, Vladimir Editor |
| Other author | Bock, Hans Hermann Editor |
| Other author | Ferligoj, Anuka Editor |
| Other author | iberna, Ale Editor |
| Format | Electronic |
| Publication Info | New York : Springer |
| Description | xii, 358 p. ill 23.500 x 015.500 cm. |
| Supplemental Content | Full text available from Springer Books |
| Subjects |
| Series | Studies in Classification, Data Analysis, and Knowledge Organization Ser. |
| Summary | Annotation <p>This volume provides new methodological developments in data analysis and classification. A wide range of topics is covered that includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Apart from structural and theoretical results the book shows how to apply the proposed to a variety of problems, for example in medicine, microarray analysis, social network structures, and music. The combination of new methodological advances with the wide range of real applications collected in this volume is of special value for researchers when choosing the appropriate among newly developed analytical tools for their research problems in classification and data analysis.</p> |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9783540344155 |
| ISBN | 3540344152 (Trade Paper) Active Record |
| Standard identifier# | 9783540344155 |
| Stock number | 3540344152 00024965 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |