cam a22 7 4500 317159224 CHVBK 20201009192932.0 m d cr |n |||||||| 140625s2014 nyud sb 000 0 eng d 2014931371 978-1-4939-0538-6 1-4939-0538-4 10.1007/978-1-4939-0539-3 doi (SERSOL)ssj0001166305 (IDSSG)000655383 (WaSeSS)ssj0001166305 BTCTA eng BTCTA YDXCP CDX CTN DLC WaSeSS rda QA76.9.D343 D34 2014 COM021030 bisacsh 006.312 23 CH001ECFD04CD8C4B3088C1257F07007017F0 iCapture Dahan Haim author Proactive data mining with decision trees Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon New York Springer [2014] ©2014 1 online resource (x, 88 pages) charts SpringerBriefs in electrical and computer engineering Includes bibliographical references. Introduction -- Proactive Data Mining: A General Approach -- Proactive Data Mining Using Decision Trees -- Proactive Data Mining in the Real World: Case Studies -- Sensitivity Analysis of Proactive Data Mining -- Conclusions. Lizenzbedingungen können den Zugang einschränken. License restrictions may limit access. 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. Decision trees Data mining Computer science Information storage and retrieval systems Cohen Shahar author Rokach Lior author Maimon Oded author https://link.springer.com/10.1007/978-1-4939-0539-3 Uni Basel: Volltext BK020053 XK020053 XK020000 Springer Computer Science eBooks 2014 English/International E-Books von 360MarcUpdates noalma ids I IDSSG HSG HSG ONL HONL000655383 IDSBB A145 A145 145VT IDSBB 100 1- Dahan Haim author IDSBB 490 1- SpringerBriefs in electrical and computer engineering IDSBB 700 1- Cohen Shahar author IDSBB 700 1- Rokach Lior author IDSBB 700 1- Maimon Oded author IDSBB 856 40 https://link.springer.com/10.1007/978-1-4939-0539-3 Uni Basel: Volltext IDSSG 490 0- SpringerBriefs in Electrical and Computer Engineering IDSSG 700 1- Dahan Haim IDSSG 700 1- Cohen Shahar IDSSG 700 1- Rokach Lior IDSSG 700 1- Maimon Oded IDSSG 856 4- https://doi.org/10.1007/978-1-4939-0539-3 Full text for the University of St. Gallen SWISSBIB 317159224