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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
| 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 |
| Pubbl/distr/stampa | Hershey, Pennsylvania : , : Business Science Reference, , 2017 |
| Descrizione fisica | PDFs (427 pages) : illustrations |
| Disciplina | 658.8/3 |
| Collana | Advances in Business Information Systems and Analytics (ABISA) Book Series |
| 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 |
| ISBN | 1-5225-0998-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910148745503321 |
| Hershey, Pennsylvania : , : Business Science Reference, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Handbook on Craniofacial Superimposition [[electronic resource] ] : The MEPROCS Project / / by Sergio Damas, Oscar Cordón, Oscar Ibáñez
| Handbook on Craniofacial Superimposition [[electronic resource] ] : The MEPROCS Project / / by Sergio Damas, Oscar Cordón, Oscar Ibáñez |
| Autore | Damas Sergio |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XLII, 205 p. 43 illus., 39 illus. in color.) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Medical jurisprudence Computational intelligence Forensic science Health informatics Artificial Intelligence Forensic Medicine Computational Intelligence Forensic Science Health Informatics |
| Soggetto non controllato |
Computer science
Artificial intelligence Forensic medicine Computational intelligence Forensic science Health informatics |
| ISBN | 3-319-11137-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Craniofacial Superimposition -- Importance of Craniofacial Superimposition in Forensic Identification: Historical Perspective -- Relationships Between the Skull and the Face in the Forensic Realm -- Craniofacial Superimposition Techniques -- Craniofacial Superimposition: The State of the Art -- Ethical and Legal Issues in Craniofacial Superimposition -- Experimental Study of Methodologies, Tools and Criteria -- MEPROCS Craniofacial Superimposition Framework -- MEPROCS Framework Validation -- Conclusions -- Appendices -- References. |
| Record Nr. | UNISA-996465364203316 |
Damas Sergio
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Handbook on Craniofacial Superimposition [[electronic resource] ] : The MEPROCS Project / / by Sergio Damas, Oscar Cordón, Oscar Ibáñez
| Handbook on Craniofacial Superimposition [[electronic resource] ] : The MEPROCS Project / / by Sergio Damas, Oscar Cordón, Oscar Ibáñez |
| Autore | Damas Sergio |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XLII, 205 p. 43 illus., 39 illus. in color.) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Medical jurisprudence Computational intelligence Forensic science Health informatics Artificial Intelligence Forensic Medicine Computational Intelligence Forensic Science Health Informatics |
| Soggetto non controllato |
Computer science
Artificial intelligence Forensic medicine Computational intelligence Forensic science Health informatics |
| ISBN | 3-319-11137-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Craniofacial Superimposition -- Importance of Craniofacial Superimposition in Forensic Identification: Historical Perspective -- Relationships Between the Skull and the Face in the Forensic Realm -- Craniofacial Superimposition Techniques -- Craniofacial Superimposition: The State of the Art -- Ethical and Legal Issues in Craniofacial Superimposition -- Experimental Study of Methodologies, Tools and Criteria -- MEPROCS Craniofacial Superimposition Framework -- MEPROCS Framework Validation -- Conclusions -- Appendices -- References. |
| Record Nr. | UNINA-9910366655503321 |
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Damas Sergio
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning for cyber physical systems : selected papers from the international conference ML4CPS 2020 ; Berlin, Germany, March 12-13, 2020 / / editors, Jürgen Beyerer, Alexander Maier, Oliver Niggemann
| Machine learning for cyber physical systems : selected papers from the international conference ML4CPS 2020 ; Berlin, Germany, March 12-13, 2020 / / editors, Jürgen Beyerer, Alexander Maier, Oliver Niggemann |
| Autore | Beyerer Jürgen |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (VII, 130 p. 42 illus., 25 illus. in color.) |
| Disciplina | 621.38 |
| Collana | Technologies for Intelligent Automation |
| Soggetto topico | Machine learning |
| Soggetto non controllato |
Cyber-physical systems, IoT
Communications Engineering, Networks Computer Systems Organization and Communication Networks Cyber-Physical Systems Computer Engineering and Networks Machine Learning Artificial Intelligence Cognitive Robotics Internet of Things Computational intelligence Computer-based algorithms Smart grid Open Access Industry 4.0 Electrical engineering Cybernetics & systems theory Communications engineering / telecommunications Computer networking & communications |
| ISBN | 3-662-62746-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Energy Profile Prediction of Milling Processes Using Machine Learning Techniques -- Improvement of the prediction quality of electrical load profiles with artficial neural networks -- Detection and localization of an underwater docking station -- Deployment architecture for the local delivery of ML-Models to the industrial shop floor -- Deep Learning in Resource and Data Constrained Edge Computing Systems -- Prediction of Batch Processes Runtime Applying Dynamic Time Warping and Survival Analysis -- Proposal for requirements on industrial AI solutions -- Information modeling and knowledge extraction for machine learning applications in industrial production systems -- Explanation Framework for Intrusion Detection -- Automatic Generation of Improvement Suggestions for Legacy, PLC Controlled Manufacturing Equipment Utilizing Machine Learning -- Hardening Deep Neural Networks in Condition Monitoring Systems against Adversarial Example Attacks -- First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems -- Machine learning for reconstruction of highly porous structures from FIB-SEM nano-tomographic data. |
| Record Nr. | UNINA-9910433248603321 |
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Beyerer Jürgen
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Models, Methods and Tools for Product Service Design [[electronic resource] ] : The Manutelligence Project / / edited by Laura Cattaneo, Sergio Terzi
| Models, Methods and Tools for Product Service Design [[electronic resource] ] : The Manutelligence Project / / edited by Laura Cattaneo, Sergio Terzi |
| Autore | Cattaneo Laura |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2019 |
| Descrizione fisica | 1 online resource (IX, 143 p. 85 illus., 84 illus. in color.) |
| Disciplina | 670 |
| Collana | PoliMI SpringerBriefs |
| Soggetto topico |
Manufactures
Computational intelligence Artificial intelligence Service industries Manufacturing, Machines, Tools, Processes Computational Intelligence Artificial Intelligence Services |
| Soggetto non controllato |
Engineering
Manufactures Computational intelligence Artificial intelligence Service industries |
| ISBN | 3-319-95849-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Engineering and business requirements definition, analysis and validation -- Life cycle Management for Product-Service Systems -- A Platform for Product-Service Design and Manufacturing Intelligence -- Tools and procedures to embed and retrieve Product-Service lifecycle knowledge -- Life Cycle Assessment and Life Cycle Costing for PSS -- Use cases -- Business Exploitation. |
| Record Nr. | UNINA-9910337602203321 |
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Cattaneo Laura
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| Cham, : Springer Nature, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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