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Advanced Data Analytics in Health / / edited by Philippe J. Giabbanelli, Vijay K. Mago, Elpiniki I. Papageorgiou
Advanced Data Analytics in Health / / edited by Philippe J. Giabbanelli, Vijay K. Mago, Elpiniki I. Papageorgiou
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (221 pages)
Disciplina 610.285
Collana Smart Innovation, Systems and Technologies
Soggetto topico Computational intelligence
Artificial intelligence
Health informatics
Big data
Computational Intelligence
Artificial Intelligence
Health Informatics
Big Data/Analytics
ISBN 3-319-77911-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Dimensionality Reduction for Exploratory Data Analysis in Daily Medical Research -- Navigating Complex Systems for Policymaking using Simple Software Tools -- An Agent-based Model of Healthy Eating with Applications to Hypertension -- Young Adults, Health Insurance Expansions and Hospital Services Utilization -- The Impact of Patient Incentives on Comprehensive Diabetes Care Services and Medical Expenditures -- Challenges and Cases of Genomic Data Integration Across Technologies and Biological Scales.
Record Nr. UNINA-9910299940903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced statistical methods in data science / / edited by Ding-Geng Chen, Jiahua Chen, Xuewen Lu, Grace Y. Yi, Hao Yu
Advanced statistical methods in data science / / edited by Ding-Geng Chen, Jiahua Chen, Xuewen Lu, Grace Y. Yi, Hao Yu
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XVI, 222 p. 41 illus., 20 illus. in color.)
Disciplina 519.50285
Collana ICSA Book Series in Statistics
Soggetto topico Statistics 
Big data
Statistical Theory and Methods
Big Data/Analytics
Statistics for Business, Management, Economics, Finance, Insurance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Data Analysis Based on Latent or Dependent Variable Models -- Chapter 1: A New Method for Robust Mixture Regression and Outlier Detection -- Chapter 2: The Mixture Gatekeeping Procedure Based on Weighted Multiple Testing Correction for Correlated Tests -- Chapter 3: Regularization in Regime-switching Gaussian Autoregressive Models -- Chapter 4: Modeling Zero Inflation and Over-dispersion in the Length of Hospital Stay for Patients with Ischaemic Heart Disease -- Chapter 5: Robust Optimal Interval Design for High-Dimensional Dose Finding in Multi-Agent Combination Trials -- Part II: Life Time Data Analysis -- Chapter 6: Group Selection in Semi-parametric Accelerated Failure Time Model -- Chapter 7: A Proportional Odds Model for Regression Analysis of Case I Interval-Censored Data -- Chapter 8: Empirical Likelihood Inference under Density Ratio Models Based on Type I Censored Samples: Hypothesis Testing and Quantile Estimation -- Chapter 9: Recent Development in the Joint Modeling of Longitudinal Quality of Life Measurements and Survival Data from Cancer Clinical Trials -- Part III: Applied Data Analysis -- Chapter 10: Confidence Weighting Procedures for Multiple Choice Tests -- Chapter 11: Improving the Robustness of Parametric Imputation -- Chapter 12: Maximum Smoothed Likelihood Estimation of the Centre of a Symmetric Distribution -- Chapter 13: Dividend Pay-out Problems with the Logarithmic Utility -- Chapter 14: Modeling the Common Risk among Equities: A Multivariate Time Series Model with an Additive GARCH Structure.
Record Nr. UNINA-9910155548503321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advancement of Machine Intelligence in Interactive Medical Image Analysis / / edited by Om Prakash Verma, Sudipta Roy, Subhash Chandra Pandey, Mamta Mittal
Advancement of Machine Intelligence in Interactive Medical Image Analysis / / edited by Om Prakash Verma, Sudipta Roy, Subhash Chandra Pandey, Mamta Mittal
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (336 pages)
Disciplina 610.28563
Collana Algorithms for Intelligent Systems
Soggetto topico Engineering—Data processing
Machine learning
Big data
Signal processing
Image processing
Speech processing systems
Optical data processing
Data Engineering
Machine Learning
Big Data/Analytics
Signal, Image and Speech Processing
Image Processing and Computer Vision
ISBN 981-15-1100-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pragmatic Medical Image Analysis and Deep Learning: An Emerging Trend -- Aspect of Big Data in Medical Imaging to Extract the Hidden Information Using HIPI in HDFS Environment -- Image Segmentation using Deep Learning Techniques -- Application of Machine Intelligence in Digital Pathology: Identification of Falciparum Malaria in Thin Blood Smear Image -- Efficient ANN Algorithms for Sleep Apnea Detection using Transform Methods -- Medical Image Processing in Detection of Abdomen Diseases -- Multi-Reduct Rough Set Classifier for Computer-Aided Diagnosis in Medical Data -- A New Approach of Intuitionistic Fuzzy Membership Matrix in Medical Diagnosis with Application -- Image Analysis and Automation of Data Processing in Assessment of Dental X-ray (OPG) Using MATLAB and Excel VBA -- Detecting Bone Fracture Using Transfer Learning -- GAN based novel approach for data augmentation with improved disease classification -- Automated glaucoma type identification using Machine learning or Deep learning techniques -- Glaucoma Detection from Retinal Fundus Images using RNFL Texture Analysis -- Artificial Intelligence based Glaucoma Detection -- Security Issues of Internet of Things in Health-Care Sector: An Analytical Approach.
Record Nr. UNINA-9910483975203321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Aeronautical Informatics : Technologies Towards Flight 4.0 / / edited by Umut Durak, Jürgen Becker, Sven Hartmann, Nikolaos S. Voros
Advances in Aeronautical Informatics : Technologies Towards Flight 4.0 / / edited by Umut Durak, Jürgen Becker, Sven Hartmann, Nikolaos S. Voros
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVI, 156 p. 42 illus., 35 illus. in color.)
Disciplina 004.6
Soggetto topico Computer communication systems
Aerospace engineering
Astronautics
Application software
Artificial intelligence
Big data
Computer Communication Networks
Aerospace Technology and Astronautics
Information Systems Applications (incl. Internet)
Artificial Intelligence
Big Data/Analytics
ISBN 3-319-75058-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Introduction -- Chapter 1. Flight 4.0: The Changing Technology Landscape of Aeronautics (Umut Durak) -- Part II: Information and Communication Technologies supporting Flight 4.0 -- Chapter 2. Advances in Avionic Platforms: Multi-Core Systems (Falco K. Bapp) -- Chapter 3. Emerging Trends in Avionics Networking (Andreas Reinhardt) -- Chapter 4. IoT and Service Oriented Infrastructures for Flight 4.0 (Christos P. Antonopoulos) -- Chapter 5. Big Data and Data Analytics in Aeronautics (Gerrit Burmester) -- Chapter 6. Ontologies in Aeronautics (Carlos Insaurralde) -- Chapter 7. Advances in Software Engineering and Aeronautics (Shafagh Jafer) -- Part III: The Challenges -- Chapter 8. Towards Autonomy and Safety For Unmanned Aircraft Systems (Christoph Torens) -- Chapter 9. Keeping up with Real Time (Reinhard Wilhelm) -- Chapter 10. Aerospace Engineering Curricular Expansion in Information Systems (Ella M. Atkins).
Record Nr. UNINA-9910299277003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Analytics and Applications [[electronic resource] /] / edited by Arnab Kumar Laha
Advances in Analytics and Applications [[electronic resource] /] / edited by Arnab Kumar Laha
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (289 pages)
Disciplina 519.5
Collana Springer Proceedings in Business and Economics
Soggetto topico Big data
Business enterprises-Finance
Management
Big Data/Analytics
Business Finance
ISBN 981-13-1208-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910350214203321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Machine Learning and Data Science : Recent Achievements and Research Directives / / edited by Damodar Reddy Edla, Pawan Lingras, Venkatanareshbabu K
Advances in Machine Learning and Data Science : Recent Achievements and Research Directives / / edited by Damodar Reddy Edla, Pawan Lingras, Venkatanareshbabu K
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XII, 380 p. 157 illus.)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Data mining
Big data
Computational Intelligence
Data Mining and Knowledge Discovery
Big Data
Big Data/Analytics
ISBN 981-10-8569-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- About the Editors -- Table of Contents -- 38 Papers -- Author Index.
Record Nr. UNINA-9910299911703321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Operational Research in the Balkans : XIII Balkan Conference on Operational Research / / edited by Nenad Mladenović, Angelo Sifaleras, Marija Kuzmanović
Advances in Operational Research in the Balkans : XIII Balkan Conference on Operational Research / / edited by Nenad Mladenović, Angelo Sifaleras, Marija Kuzmanović
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (xii, 292 pages) : illustrations
Disciplina 658.4034
Collana Springer Proceedings in Business and Economics
Soggetto topico Operations research
Decision making
Management science
Big data
Operations Research/Decision Theory
Operations Research, Management Science
Big Data/Analytics
ISBN 3-030-21990-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Dichotomy Algorithms in the Multi-Class Problem of Pattern Recognition -- Chapter 2. Determining the Set of the Most Critical System Components - Optimization Approach -- Chapter 3. Metaheuristics and Error Detection Approaches for Multiproduct EOQBased Inventory Control Problem -- Chapter 4. On fuzzy solutions to a class of fuzzy multi-objective linear optimization problems -- Chapter 5. Multiattribute Methods as a Means for Solving Ecological Problems inWater Resources - Lake Pollution -- Chapter 6. Forest Policy Evaluation in European Countries using the Promethee method -- Chapter 7. The Contribution of ICT in EU Development Policy: A Multicriteria Approach -- Chapter 8. A Fuzzy Linear Programming Approach to Solve Bi-Level Multi-Objective Linear Programming Problems -- Chapter 9. Residential Attractiveness of Cities from the Perspective of the Efficiency, Residents’ Perception and Preferences: The Case of Serbia -- Chapter 10. Analyzing the Efficiency of Travel and Tourism in the European Union -- Chapter 11. Interdomain Quality of Service Negotiation Using DEA Analysis and Petri Nets -- Chapter 12. Quality Losses as the Key Argument in the Public Procurement in Healthcare -- Chapter 13. Enhancing IT Project Management Maturity Assessment -- Chapter 14. E-Payment Systems using Multi-Card Smartcard -- Chapter 15. Detection of Click Spamming in Mobile Advertising -- Chapter 16. Improving decision making in ski resorts by analysing ski lift transportation - A review -- Chapter 17. A Recommender System with IBA Similarity Measure.
Record Nr. UNINA-9910367255103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Service Science : Proceedings of the 2018 INFORMS International Conference on Service Science / / edited by Hui Yang, Robin Qiu
Advances in Service Science : Proceedings of the 2018 INFORMS International Conference on Service Science / / edited by Hui Yang, Robin Qiu
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (IX, 293 p. 61 illus., 34 illus. in color.)
Disciplina 658.40301
Collana Springer Proceedings in Business and Economics
Soggetto topico Operations research
Decision making
Big data
Applied mathematics
Engineering mathematics
Operations Research/Decision Theory
Big Data/Analytics
Mathematical and Computational Engineering
ISBN 3-030-04726-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. The Inmate Transportation Problem and its Application in the PA Department of Corrections -- Chapter 2. Robust modality selection in radiotherapy -- Chapter 3. Incentive-Based Rebalancing of Bike-Sharing Systems -- Chapter 4. A T-Shaped Measure of Multidisciplinarity in Academic Research Networks: The GRAND Case Study -- Chapter 5. Service Differentiation and Operating Segments: Research Opportunities and Implementation Challenges -- Chapter 6. Higher Education as a Service: The Science of Running a Lean Program in International Business -- Chapter 7. A Hypergraph-based Modeling Approach for Service Systems -- Chapter 8. Zone of Optimal Distinctiveness: Provider Asset Personalization and the Psychological Ownership of Shared Accommodation -- Chapter 9. Data Mining Methods for Describing Federal Government Career Trajectories and Predicting Employee Separation -- Chapter 10. Using the Service Science Canvas to Understand Institutional Change in a Public School System -- Chapter 11. Data-driven capacity management with machine learning: A novel approach and a case-study for a public service office -- Chapter 12. Harnessing Big Data and Analytics Solutions in Support of Smart City Services -- Chapter 13. The Pay Equity Dilemma Women Face Around the World -- Chapter 14. Project and Resource Optimization (PRO) for IT Service Delivery -- Chapter 15. A Unified Framework for Specifying Cost Models of IT Service Offerings -- Chapter 16. Toward a Context-aware Serendipitous Recommendation System -- Chapter 17. Analysis of service execution in the on-line sports gambling industry -- Chapter 18. Decision Modeling in Service Science -- Chapter 19. Predicting call center performance with machine learning -- Chapter 20. Information directed policy sampling for partially observable Markov decision processes with parametric uncertainty -- Chapter 21. Buffered Probability of Exceedance (bPOE) Ratings for Synthetic Instruments -- Chapter 22. Service Quality Assessment via Enhanced Data-Driven MCDM Model -- Chapter 23. Estimating the Effect of Social Influence on Subsequent Reviews -- Chapter 24. Product and Service Design for Remanufacturing, Uncertainty and the Environmental Impact in The Closed-loop Supply Chain Network -- Chapter 25. Towards the determinants of successful public-private partnership projects in Jamaica: A proposed methodology -- Chapter 26. Cognitive Solutioning of Highly-Valued IT Service Contracts -- Chapter 27. A Predictive Approach for Monitoring Services in the Internet of Things -- Chapter 28. Managing Clinical Appointments in an Academic Medical Center -- Chapter 29. Factors Influencing E-Procurement Adoption in the Transportation Industry.
Record Nr. UNINA-9910337806703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Systematic Creativity : Creating and Managing Innovations / / edited by Leonid Chechurin, Mikael Collan
Advances in Systematic Creativity : Creating and Managing Innovations / / edited by Leonid Chechurin, Mikael Collan
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2019
Descrizione fisica 1 online resource (369 pages)
Disciplina 658.4063
Soggetto topico Big data
Operations research
Decision making
Management—Study and teaching
Management
Big Data/Analytics
Operations Research/Decision Theory
Management Education
ISBN 3-319-78075-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Advances in Theory and Applications of TRIZ -- 1 Current Stage of TRIZ Evolution and Its Popularity -- 2 Design for Change: Disaggregation of Functions in System Architecture by TRIZ-Based Design -- 3 Systematic Innovation in Process Engineering: Linking TRIZ and Process Intensification -- Heuristic Problems in Automation and Control Design: What Can Be Learnt from TRIZ? -- 5 The Adaptive Problem Sensing and Solving (APSS) Model and Its Use for Efficient TRIZ Tool Selection -- 6 Case: Can TRIZ Functional Analysis Improve FMEA? -- 7 A TRIZ and Lean-Based Approach for Improving Development Processes -- 8 A Method of System Model Improvement Using TRIZ Function Analysis and Trimming -- 9 Function Analysis Plus and Cause-Effect Chain Analysis Plus with Applications -- Part II Advances in Tools and Technologies for Creating New Innovations -- 10 Identification of Secondary Problems of New Technologies in Process Engineering by Patent Analysis -- 11 Control Design Tools for Intensified Solids Handling Process Concepts -- 12 Anticipatory Failure Determination (AFD) for Product Reliability Analysis: A Comparison Between AFD and Failure Mode and Effects Analysis (FMEA) for Identifying Potential Failure Modes -- 13 Computer-Aided Conceptual Design of Building Systems: Linking Design Software and Ideas Generation Techniques -- 14 Optimized Morphological Analysis in Decision-Making -- 15 Engineering Creativity: The Influence of General Knowledge and Thinking Heuristics -- Part III Advances in Managing Innovations and the Innovation Process -- 16 Levelized Function Cost: Economic Consideration for Design Concept Evaluation -- 17 Reflecting Emotional Aspects and Uncertainty in Multi-expert Evaluation: One Step Closer to a Soft Design-Alternative Evaluation Methodology -- 18 Using Innovation Scorecards and Lossless Fuzzy Weighted Averaging in Multiple-criteria Multi-expert Innovation Evaluation -- 19 Innovation Commercialisation: Processes, Tools and Implications.
Record Nr. UNINA-9910337803003321
Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Agent-Based Models and Complexity Science in the Age of Geospatial Big Data : Selected Papers from a workshop on Agent-Based Models and Complexity Science (GIScience 2016) / / edited by Liliana Perez, Eun-Kyeong Kim, Raja Sengupta
Agent-Based Models and Complexity Science in the Age of Geospatial Big Data : Selected Papers from a workshop on Agent-Based Models and Complexity Science (GIScience 2016) / / edited by Liliana Perez, Eun-Kyeong Kim, Raja Sengupta
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XI, 102 p. 26 illus., 22 illus. in color.)
Disciplina 910.285
Collana Advances in Geographic Information Science
Soggetto topico Geographical information systems
Computer simulation
Big data
Algorithms
Geographical Information Systems/Cartography
Simulation and Modeling
Big Data/Analytics
Big Data
Algorithm Analysis and Problem Complexity
ISBN 3-319-65993-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Developing High Fidelity, Data Driven, Verified Agent Based Models of Coupled Socio-Ecological Systems of Alaska Fisheries -- 2. Leveraging Coupled Agent-Based Models to Explore the Resilience of Tightly-Coupled Land Use Systems -- 3. Deconstructing geospatial agent-based model: Sensitivity analysis of forest insect infestation model -- 4.An Agent-Based Model to Identify Migration Pathways of Refugees: the Case of Syria -- 5. Rule extraction for Agent Mobility from Animal “Big Data”: Trends and Possibilities --  6. Wealthy Hubs and Poor Chains: Constellations and Routing in the U.S. Urban Migration System -- 7. Uncovering geographic and structural characteristics of the interpersonal communication. network on Twitter: A complex networks perspective.
Record Nr. UNINA-9910299417203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui