Opening book details…
Can I read Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel (r) with XLMiner (r) on EtoBox?
Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel (r) with XLMiner (r) by Patel, Nitin R.;Bruce, Peter C.;Shmueli, Galit is a nonfiction available to read on EtoBox.
What is Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel (r) with XLMiner (r) about?
Data Mining for Business Intelligence, Second Edition uses real data and actual cases to illustrate the applicability of data mining (DM) intelligence in the development of successful business models. Featuring complimentary access to XLMiner, the Microsoft Office Excel add-in, this book allows readers to follow along and implement algorithms at their own speed, with a minimal learning curve. In addition, students and practitioners of DM techniques are presented with hands-on, business-oriented applications. An abundant amount of exercises and examples, now doubled in number in the second edit.
Who reads Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel (r) with XLMiner (r)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Patel, Nitin R.;Bruce, Peter C.;Shmueli, Galit
- Publisher
- John Wiley & Sons, Wiley
- Published
- 2011
- Language
- EN
- ISBN
- 9781118211397
- Category
- nonfiction
Other editions & translations
More by Patel, Nitin R.;Bruce, Peter C.;Shmueli, Galit
Browse all works by Patel, Nitin R.;Bruce, Peter C.;Shmueli, Galit
Similar books
- Data Mining for Business Analytics : Concepts, Techniques, and Applications with XLMiner — Galit Shmueli, Peter C. Bruce, Nitin R. Patel (2016)
- Data Warehouse and Data Mining: Concepts, Techniques and Real Life Applications — Kumar, Dr. Jugnesh (2024)
- Data Mining for Business Applications — Cao Longbing (auth.), Longbing Cao, Philip S. Yu, Chengqi Zhang, Huaifeng (2008)
- Microsoft® business intelligence tools for Excel® analysts — Michael Alexander & Jared Decker & Bernard Wehbe Alexander (2014)
- Smart Business Intelligence Solutions with Microsoft(r) SQL Server(r) 2008 — Lynn Langit; Kevin S. Goff; Davide Mauri; Sahil Malik; John Welch (2009)
- Data Mining Applications with R — Yanchang Zhao and Justin Cen (Auth.) (2013)