Real-world data mining : applied business analytics and decision making /
"As business becomes increasingly complex and global, decision-makers must act more rapidly and accurately, based on the best available evidence. Modern data mining and analytics is indispensable for doing this. Real-World Data Mining demystifies current best practices, showing how to use data...
Guardado en:
| Autor principal: | |
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| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
Upper Saddle River, NJ :
Pearson Education,
2015.
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| Materias: | |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 020 | |a 9780133551075 | ||
| 020 | |a 0133551075 | ||
| 035 | |a (OCoLC)866616567 |z (OCoLC)866621918 |z (OCoLC)902667396 | ||
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| 050 | 0 | 0 | |a QA76.9.D343 |b D44 2015 |
| 082 | 0 | 4 | |a 006.3/12 |2 23 |
| 100 | 1 | |a Delen, Dursun. | |
| 245 | 1 | 0 | |a Real-world data mining : |b applied business analytics and decision making / |c Dursun Delen. |
| 260 | |a Upper Saddle River, NJ : |b Pearson Education, |c 2015. | ||
| 300 | |a xiv, 273 p. : |b il. ; |c 24 cm. | ||
| 504 | |a Incluye referencias bibliográficas e índice. | ||
| 505 | 0 | |a 1. Introduction to analytics -- 2. Introduction to data mining -- 3. The data mining process -- 4. Data and methods in data mining -- 5. Data mining algorithms -- 6. Text analytics and sentiment analysis -- 7. Big data analytics. | |
| 520 | |a "As business becomes increasingly complex and global, decision-makers must act more rapidly and accurately, based on the best available evidence. Modern data mining and analytics is indispensable for doing this. Real-World Data Mining demystifies current best practices, showing how to use data mining and analytics to uncover hidden patterns and correlations, and leverage these to improve all business decision-making. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, Delen provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: data mining processes, methods, and techniques; the role and management of data; tools and metrics; text and web mining; sentiment analysis; and integration with cutting-edge Big Data approaches. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials."--Descripción del editor. | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Big data. | |
| 650 | 7 | |a Minería de datos. |2 UDESA | |
| 650 | 7 | |a Grandes volúmenes de datos. |2 UDESA | |