Handbook of research on intelligent techniques and modeling applications in marketing analytics / / Anil Kumar, Manoj Kumar Dash, Shrawan Kumar Trivedi, and Tapan Kumar Panda, editors

• Pubblicazione: Hershey, Pennsylvania : , : Business Science Reference, , 2017; ©2017
• Descrizione fisica: PDFs (427 pages) : illustrations
• Disciplina: 658.8/3
• Soggetto topico: Marketing research; Marketing research - Data processing
• Soggetto non controllato: Computational intelligence; Consumer analytics; Customer location data; E-commerce; Fuzzy clustering; Online marketing; Predictive analytics
• Persona (resp. second.): KumarAnil <1980->; DashManoj Kumar; TrivediShrawan Kumar <1985->; PandaTapan K (Tapan Kumar)
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: A new perspective on RFM analysis / Mohammad Hasan Aghdaie, Parham Fami Tafreshi -- A novel approach to segmentation using customer locations data and intelligent techniques / Basar Öztaysi [and 3 others] -- Fuzzy clustering: an analysis of service quality in the mobile phone industry / Mashhour H. Baeshen, Malcolm J. Beynon, Kate L. Daunt -- An analysis of the interactions among the enablers of information communication technology in humanitarian supply chain management: a fuzzy-based relationship modelling approach / Gaurav Kabra, A Ramesh -- Auto associative extreme learning machine based hybrids for data imputation / Chandan Gautam, Vadlamani Ravi -- Multi-criteria decision making in marketing by using fuzzy rough set / Tapan Kumar Das -- Fuzzy multi-objective association rule mining using evolutionary computation / Ganghishetti Pradeep, Vadlamani Ravi -- Improved seating plans for movie theatre to improve revenue: an integrated best worst method with EMSR-B / Kedar Pandurang Joshi, Nikhil Lohiya -- Applications of the stochastic multicriteria acceptability analysis method for consumer preference study / Tadeusz Trzaskalik [and 3 others] -- Modeling consumer opinion using RIDIT and grey relational analysis / Rohit Vishal Kumar, Subhajit Bhattacharyya -- Sentiment analysis as a tool to understand the cultural relationship between consumer and brand / Nicola Capolupo, Gianpaolo Basile, Giancarlo Scozzese -- ; Improving customer experience using sentiment analysis in e-commerce / Vinay Kumar Jain, Shishir Kumar -- Adoption of online marketing for service SMEs with multi-criteria decision-making approach / Lanndon Ocampo [and 3 others] -- E-retailing from past to future: definitions, analysis, problems, and perspectives / Zehra Kamisli Ozturk, Mehmet Alegoz -- Fuzzy time series: an application in e-commerce / Ali Karasan, Ismail Sevim, Melih Çinar -- Understand the frequency of application usage by smartphone users: door is open, but closes quickly / Geetika Jain, Sapna Rakesh -- Car safety: a statistical analysis for marketing management / António Carrizo Moreira, Monica Gouveia, Pedro Macedo -- Banking credit scoring assessment using predictive K-nearest neighbour (PKNN) classifier / Saroj Kanta Jena, Anil Kumar, Maheshwar Dwivedy -- Prediction of the quality of fresh water in a basin / Sira M. Allende [and 4 others] -- Operating commodities market by automated traders / Fodil Laib, Mohammed Said Radjef.
• Sommario/riassunto: "This book features innovative research and implementation practices of analytics in marketing research, highlighting various techniques in acquiring and deciphering marketing data"--Provided by publisher.
• Titolo autorizzato: Handbook of research on intelligent techniques and modeling applications in marketing analytics
• ISBN: 1-5225-0998-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910148745503321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in business information systems and analytics (ABISA) book series.