It takes the average reader 1 hour and 30 minutes to read Proactive Data Mining with Decision Trees by Haim Dahan
Assuming a reading speed of 250 words per minute. Learn more
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.
Proactive Data Mining with Decision Trees by Haim Dahan is 88 pages long, and a total of 22,704 words.
This makes it 30% the length of the average book. It also has 28% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 4 minutes to read Proactive Data Mining with Decision Trees aloud.
Proactive Data Mining with Decision Trees is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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