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Real-world data mining : applied business analytics and decision making /

Annotation

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Delen, Dursun (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Upper Saddle River, New Jersey : Pearson Education LTD, 2014.
Colección:FT Press Analytics Ser.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Real-world data mining :  |b applied business analytics and decision making /  |c Dursun Delen. 
264 1 |a Upper Saddle River, New Jersey :  |b Pearson Education LTD,  |c 2014. 
264 4 |c ©2015 
300 |a 1 online resource (1 volume) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a FT Press Analytics Ser. 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
520 8 |a Annotation  |b Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance. 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, he provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials. Real-World Data Mining will be valuable to professionals on analytics teams; professionals seeking certification in the field; and undergraduate or graduate students in any analytics program: concentrations, certificate-based, or degree-based. 
546 |a English. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Data mining. 
650 0 |a Big data. 
650 2 |a Data Mining 
650 6 |a Exploration de données (Informatique) 
650 6 |a Données volumineuses. 
650 7 |a Big data  |2 fast 
650 7 |a Data mining  |2 fast 
650 7 |a Engineering & Applied Sciences.  |2 hilcc 
650 7 |a Computer Science.  |2 hilcc 
776 0 8 |i Print version:  |t Real-world Data Mining.  |d Prentice Hall 2014  |z 9780133551075  |w (OCoLC)866616567 
830 0 |a FT Press Analytics Ser. 
856 4 0 |u https://learning.oreilly.com/library/view/~/9780133551150/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
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