A Practical Guide to Data Mining for Business and Industry (eBook)

Andrea Ahlemeyer-Stubbe, Shirley Coleman (Autoren)

eBook Download: PDF

2014
John Wiley & Sons (Verlag)
978-1-118-76372-8 (ISBN)

Infos

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.

Autor

Andrea Ahlemeyer-Stubbe, Director Strategic Analytics, DRAFTFCB München GmbH, Germany Shirley Coleman, Principal Statistician, Industrial Statistics Research Unit, School of Maths and Statistics, Newcastle University, UK

Rezensionen

"A Practical Guide to Data Mining for Business and
Industrygives practical tools on how information can be extracted
from masses of data. The book is very well written, in a
conversational tone that makes it enjoyable to read. The authors
are excellent communicators. If you are interested in learning
about data mining, learning to do a particular task in data mining,
looking for a textbook to use in a data mining or analytics course,
or have a problem or data analytic task you are working on, this
book would be an excellent place to start."
(Mathematical Association of America, 23 August 2014)

Produkt-Details

• Erscheint lt. Verlag: 21.3.2014
• Sprache: englisch
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Themenwelt: Wirtschaft
• Schlagworte: Computer Science • Database & Data Warehousing Technologies • Data Mining • Data Mining Statistics • Datenbanken u. Data Warehousing • Finanz- u. Wirtschaftsstatistik • Informatik • practical data mining, machine learning, business intelligence, applied data mining, data mining applications, data mining methods, data mining how to, data mining for business • Statistics • Statistics for Finance, Business & Economics • Statistik
• ISBN-10: 1-118-76372-6 / 1118763726
• ISBN-13: 978-1-118-76372-8 / 9781118763728