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Advances in Analytics and Applications
Kategorie	Beschreibung
036a	XB-SG
037b	eng
077a	1031066268 Erscheint auch als (Druck-Ausgabe): ‡: Advances in analytics and applications
087q	978-981-13-1207-6
087q	978-981-13-1209-0
100b	Laha, Arnab Kumar ¬[HerausgeberIn]¬
331	Advances in Analytics and Applications
410	Singapore
412	Springer Singapore
425	2019
425a	2019
433	Online-Ressource (XI, 297 p. 64 illus, online resource)
451b	Springer Proceedings in Business and Economics
527	Printed editionISBN: 978-981-13-1207-6
527	Printed editionISBN: 978-981-13-1209-0
527	Erscheint auch als (Druck-Ausgabe): ‡: Advances in analytics and applications
540a	ISBN 978-981-13-1208-3
700	\|KJQ
700	\|KJQ
700	\|BUS070030
700b	\|658.4038
700c	\|HF5548.125-HF5548.6
750	This book includes selected papers submitted to the ICADABAI-2017 conference, offering an overview of the new methodologies and presenting innovative applications that are of interest to both academicians and practitioners working in the area of analytics. It discusses predictive analytics applications, machine learning applications, human resource analytics, operations analytics, analytics in finance, methodology and econometric applications. The papers in the predictive analytics applications section discuss web analytics, email marketing, customer churn prediction, retail analytics and sports analytics. The section on machine learning applications then examines healthcare analytics, insurance analytics and machine analytics using different innovative machine learning techniques. Human resource analytics addresses important issues relating to talent acquisition and employability using analytics, while a paper in the section on operations analytics describe an innovative application in oil and gas industry. The papers in the analytics in finance part discuss the use of analytical tools in banking and commodity markets, and lastly the econometric applications part presents interesting banking and insurance applications
753	Part I: Overviews -- Chapter 1. Machine Learning -- Chapter 2. Regression Methods -- Chapter 3. Functional Data Analysis -- Chapter 4. Directional Data Analysis -- Chapter 5.Branching Processes -- Part II: Predictive Analysis Applications -- Chapter 6. Click-Through Rate Estimation using CHAID Classification Tree Model -- Chapter 7 . Predicting Success Probability in Professional Tennis Tournaments: Using a Logistic Regression Model -- Chapter 8. Hausdorff Path Clustering and Hidden Markov Model Applied to Person Movement Prediction in Retail Spaces -- Chapter 9. Improving Email Marketing Campaign Success Rate Using Personalization -- etc
012	511573316
081	Advances in Analytics and Applications
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttps://doi.org/10.1007/978-981-13-1208-3