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 | ||
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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 |
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 | ||
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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 |
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 | ||
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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 |
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 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 | ||
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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 |
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 | ||
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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 |
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 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 | ||
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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 |
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 | ||
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Lo trovi qui: Univ. Federico II | ||
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