Proactive Data Mining with Decision Trees is popular PDF and ePub book, written by Haim Dahan in 2014-02-14, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Proactive Data Mining with Decision Trees can be Read Online from any device for your convenience.
Proactive Data Mining with Decision Trees Book PDF Summary
This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which maximizes the potential for enhancing profitability in the output tree. Two real-world case studies, one of a leading wireless operator and the other of a major security company, are also included and demonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students.
Detail Book of Proactive Data Mining with Decision Trees PDF
- Author : Haim Dahan
- Release : 14 February 2014
- Publisher : Springer Science & Business Media
- ISBN : 9781493905393
- Genre : Computers
- Total Page : 94 pages
- Language : English
- PDF File Size : 17,8 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Proactive Data Mining with Decision Trees by Haim Dahan, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.