Principles of Data Mining
| Author/creator | Bramer, Max Author |
| Format | Electronic |
| Edition | 2nd ed. |
| Publication Info | New York : Springer |
| Description | xiv, 440 p. ill 23.500 x 015.500 cm. |
| Supplemental Content | Full text available from Springer Nature - Springer Computer Science eBooks 2013 English International |
| Supplemental Content | Full text available from Springer Books |
| Subjects |
| Series | Undergraduate Topics in Computer Science Ser. |
| Summary | Annotation Max Bramer explains and explores the principal techniques of data mining, for classification, generation of association rules and clustering. Principles of Data Mining aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field. Suitable as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9781447148838 |
| ISBN | 1447148835 (Trade Paper) Active Record |
| Standard identifier# | 9781447148838 |
| Stock number | 10.1007/978-1-4471-4884-5 00024965 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |