Data mining theories, algorithms, and examples
New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehens...
| Other Authors: | |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton, FL :
CRC Press, an imprint of Taylor and Francis
2013.
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| Edition: | 1st edition |
| Series: | Human factors and ergonomics.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629689706719 |
| Summary: | New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various data mining fields. The book reviews theoretical rationales and procedural details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data examples to explain and walk through the algorithms. |
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| Item Description: | Description based upon print version of record. |
| Physical Description: | 1 online resource (347 p.) |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9781482219388 9780429067761 9781138073661 9781482219364 |
