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Big Data Analytics : 4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015, Proceedings / / edited by Naveen Kumar, Vasudha Bhatnagar
| Big Data Analytics : 4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015, Proceedings / / edited by Naveen Kumar, Vasudha Bhatnagar |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XII, 267 p. 104 illus. in color.) |
| Disciplina | 006.312 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Health informatics Database management Information storage and retrieval Algorithms Data Mining and Knowledge Discovery Health Informatics Database Management Information Storage and Retrieval Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-27057-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Big Data: Security and Privacy -- Privacy Protection or Data Value: Can We Have Both? -- 1 Introduction -- 2 Big Data -- 3 Privacy -- 3.1 Individuals Own Data About Themselves -- 3.2 Corporations Own Data Collected -- 3.3 Shared Ownership of Data -- 3.4 Summary -- Ownership -- 4 Privacy Principles -- 5 A Call for a New Approach -- 5.1 User and Corporate Obligations -- 5.2 System Obligations -- 5.3 Data Acquisition Process -- 5.4 Managing Private Queries -- 6 Summary -- References -- Open Source Social Media Analytics for Intelligence and Security Informatics Applications -- 1 Introduction -- 1.1 Online Social Media -- 1.2 Intelligence and Security Informatics -- 2 Technical and Computational Challenges -- 3 Machine Learning and Data Mining Techniques -- 4 Case Studies -- 4.1 Identification of Extremist Content, Users and Communities -- 4.2 Event Forecasting for Civil Unrest Related Events -- 5 Characterization and Classification of Related Work -- 6 ISI Leading Conferences and Journals -- 7 Conclusions -- References -- Big Data in Commerce -- Information Exploration in E-Commerce Databases -- 1 Introduction -- 2 Search Interface in E-Commerce -- 3 Obstacles in Exploratory Search -- 3.1 Limited Feedback in the Query Panel -- 3.2 Low Adaptivity of the Result Panel -- 3.3 Information Loss from Hidden Attributes -- 4 Extensions to Facilitate Exploratory Search -- 4.1 Exploratory Search in Query Panel -- 4.2 Exploratory Search in Result Panel -- 5 Evaluation -- 6 Conclusion -- References -- A Framework to Harvest Page Views of Web for Banner Advertising -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Existing Framework -- 3.2 Proposed Framework -- 4 Design Issues -- 5 Summary and Conclusions -- References -- Utility-Based Control Flow Discovery from Business Process Event Logs.
1 Research Motivation and Aim -- 2 Related Work and Research Contributions -- 3 Research Framework and Solution Approach -- 4 Experimental Analysis and Results -- 4.1 Experimental Dataset -- 4.2 Experimental Results -- 4.3 Airport Dataset Results -- 4.4 BPI 2014 Dataset Results -- 5 Conclusion -- References -- An Efficient Algorithm for Mining High-Utility Itemsets with Discount Notion -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Preliminary -- 3.2 UP-Hist Tree and UP-Hist Algorithm -- 3.3 Utility-List Data Structure and FHM Algorithm -- 3.4 Three-Phase Algorithm for Mining High-Utility Itemsets with Discount Strategies -- 4 Integration of Discount Notion in State-of-the-art Algorithms -- 4.1 UP-Hist Discount Algorithm -- 4.2 FHM Discount Algorithm -- 5 Mining High-Utility Itemsets -- 6 Experiments and Results -- 7 Conclusion and Future Work -- References -- Big Data: Models and Algorithms -- Design of Algorithms for Big Data Analytics -- 1 Introduction -- 2 Building FCA Lattice -- 2.1 Inefficient Map-Reduce Based Design -- 2.2 Efficient Map-Reduce Based Design -- 3 High Velocity Datasets -- 4 Conclusions -- References -- Mobility Big Data Analysis and Visualization (Invited Talk) -- 1 Introduction -- 2 Public Transportation Data Analysis -- 2.1 Framework for Analyzing Smart Card Data -- 2.2 Visual Fusion Analysis Environment -- 3 Vehicle Recorder Data Analysis -- 3.1 Relationships Between Drivers' Behaviors and Their Past Driving Histories -- 3.2 Visual Exploration of Caution Spots -- 4 Conclusions -- References -- Finding Periodic Patterns in Big Data -- 1 Introduction -- 2 Periodic Pattern Mining in Time Series -- 2.1 The Basic Model of Periodic Patterns -- 2.2 The Limitations of Basic Model -- 2.3 Research Efforts to Address the Limitations -- 3 Periodic Pattern Mining in Transactional Databases. 3.1 The Basic Model of Periodic-Frequent Patterns -- 3.2 The Performance Issues of the Periodic-Frequent Pattern Model -- 3.3 Research Efforts to Address the Performance Issues -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Generation of Periodic-Frequent Patterns -- 4.3 Interesting Patterns Discovered in Accidents Database -- 4.4 Interesting Patterns Discovered in Shop-4 Database -- 5 Conclusions -- References -- VDMR-DBSCAN: Varied Density MapReduce DBSCAN -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Partitioning Phase -- 3.2 Map Phase -- 3.3 Reduce Phase -- 3.4 Merge Phase -- 3.5 Relabeling of Data Points -- 4 Results and Discussions -- 4.1 Experimental Settings -- 4.2 Experimental Results -- 4.3 Clustering Results on Zahn_compound Dataset (DS1) -- 4.4 Clustering Results on Spiral Dataset (DS2) -- 4.5 Large Synthetic Dataset (DS3) -- 5 Conclusions and Future Work -- References -- Concept Discovery from Un-Constrained Distributed Context -- Abstract -- 1 Introduction -- 2 Definitions and Properties in FCA -- 3 Related Work -- 4 Methodology -- 4.1 Data Format and Input -- 4.2 Data Aggregation -- 4.3 Concept Finding Approach -- 4.4 Additional Important Insights -- 5 Implementation Using Spark -- 6 Evaluation and Results -- 7 Discussion -- 7.1 Scalability with Respect to Context -- 7.2 Comparison with Distributed Frequent Item-Set Mining -- 7.3 Concept Explosion -- 7.4 Mining Links Between Concepts -- 8 Conclusion -- Acknowledgments -- References -- Khanan: Performance Comparisonand Programming -Miner Algorithm in Column-Oriented and Relational Database Query Languages -- 1 Research Motivation and Aim -- 2 Related Work and Novel Contributions -- 2.1 Implementation of Mining Algorithms in Row-Oriented Databases -- 2.2 Implementation of Mining Algorithms in Column-Oriented Databases. 2.3 Performance Comparison of Mining Algorithms in Column-Oriented and Graph Databases -- 3 -Miner Algorithm -- 4 Implementation of -Miner Algorithm in SQL on Row-Oriented Database (MySQL) -- 5 Implementation of -Miner Algorithm on NoSQL Column-Oriented Database Cassandra -- 6 Experimental Dataset -- 7 Benchmarking and Performance Comparison -- 8 Conclusion -- References -- A New Proposed Feature Subset Selection Algorithm Based on Maximization of Gain Ratio -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Theoretical Background -- 4 Algorithm and Analysis -- 5 Empirical Study -- 5.1 Datasets -- 5.2 Experimental Results and Comparisons -- 5.3 Dimension Wise Comparison of Feature Selection Algorithms -- 5.4 Domain Wise Comparison of Feature Selection Algorithms -- 6 Conclusion -- References -- Big Data in Medicine -- Genomics 3.0: Big-Data in Precision Medicine -- 1 Introduction -- 2 Genomics 3.0 -- 3 Dimensions of Big-data -- 4 Genomic Big-data -- 4.1 Patient Data -- 4.2 Background Databases -- 5 Exploratory Data Analysis -- 6 Big-data to Information -- 7 Information to Knowledge -- 8 Integrative Systems Biology -- 9 Patient Stratification -- 10 Characteristics and Life of Genomic Big-data -- 11 Mark-up Languages to Represent Biological Data -- 12 The Big-data Genomics Platform iOMICS -- 13 Live Genome Research Case -- 14 Live Genomics and Precision Medicine Case -- References -- CuraEx - Clinical Expert System Using Big-Data for Precision Medicine -- 1 Introduction -- 2 CuraEx Overview -- 3 Patient Specific Information -- 4 Analytical Engine -- 4.1 Cancer Staging -- 4.2 Prognosis -- 4.3 Therapeutics -- 5 Knowledge Database -- 6 Software Stack and Data Management -- 7 Conclusion -- References -- Multi-omics Multi-scale Big Data Analytics for Cancer Genomics -- 1 Introduction -- 2 Available Data -- 2.1 DNA Level Data -- 2.2 RNA Level Data. 2.3 Clinical Data -- 2.4 Background Databases -- 3 Key Aims -- 4 Exploratory Data Analysis -- 4.1 Mutation Association with Cancer State -- 4.2 Differential Gene Expression -- 4.3 Patient Stratification -- 5 Multi-scale Integrative Analysis -- 6 Data Integration and Network Analysis -- 6.1 Functional Characterization Databases -- 6.2 Metabolic Network Reconstruction and Protein Interactions -- 7 Conclusions -- References -- Class Aware Exemplar Discovery from Microarray Gene Expression Data -- Abstract -- 1 Introduction -- 2 Overview of Our Approach -- 2.1 Gene Data -- 2.2 Gene-Gene Similarity -- 2.3 Class Aware Preference -- 2.4 Class Aware Message Passing -- 3 Experimental Evaluation -- 3.1 Description of Experimental Datasets -- 3.2 Comparison of Class Aware Exemplar Discovery with Affinity Propagation -- 3.3 Comparison of Class Aware Exemplar Discovery with Standard Feature Subset Selection Techniques -- 3.4 Comparison of Class Aware Exemplar Discovery with All Features -- 4 Conclusions -- References -- Multistage Classification for Cardiovascular Disease Risk Prediction -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Data Set -- 4 Experiments and Results -- 4.1 Pre-processing -- 4.2 Feature Extraction -- 4.3 Classification -- 5 Conclusion -- Acknowledgement -- References -- Author Index. |
| Record Nr. | UNINA-9910484457903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data in Healthcare : Extracting Knowledge from Point-of-Care Machines / / edited by Pouria Amirian, Trudie Lang, Francois van Loggerenberg
| Big Data in Healthcare : Extracting Knowledge from Point-of-Care Machines / / edited by Pouria Amirian, Trudie Lang, Francois van Loggerenberg |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (VII, 100 p. 46 illus., 45 illus. in color.) |
| Disciplina | 615.19 |
| Collana | SpringerBriefs in Pharmaceutical Science & Drug Development |
| Soggetto topico |
Pharmaceutical technology
Health informatics Pharmaceutical Sciences/Technology Health Informatics |
| ISBN | 3-319-62990-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction – Improving Healthcare with Big Data -- Data Science and Analytics -- Big Data and Big Data Technologies -- Big Data Analytics for Extracting Disease Surveillance Information: An Untapped Opportunity -- Ebola and Twitter. What Insights Can Public Health Draw from Social Media? |
| Record Nr. | UNINA-9910254491603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data-Enabled Nursing : Education, Research and Practice / / edited by Connie W. Delaney, Charlotte A. Weaver, Judith J. Warren, Thomas R. Clancy, Roy L. Simpson
| Big Data-Enabled Nursing : Education, Research and Practice / / edited by Connie W. Delaney, Charlotte A. Weaver, Judith J. Warren, Thomas R. Clancy, Roy L. Simpson |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXXV, 488 p. 61 illus., 48 illus. in color.) |
| Disciplina | 610.730285 |
| Collana | Health Informatics |
| Soggetto topico |
Health informatics
Nursing Health Informatics |
| ISBN | 3-319-53300-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Big Data and Its Importance in Nursing -- Big Data Use and Its Importance in Healthcare -- A Big Data Primer -- A Closer Look at the Enabling Technologies and Knowledge Value -- Big Data in Healthcare -- Getting to Big Data: National Center Data Repository for Interprofessional Education and Collaborative Practice -- Wrestling with Big Data: How Nurse Leaders Can Engage -- Clinical and Translational Science Awards (CTSA) Extended Clinical Data Project -- Working in the New Big Data World – Academic/Corporate Partnership Model -- Transformation of Research and Scholarship -- Enhancing Data Access and Utilization: Federal Datasets Relevant to Social Determinants of Health & Health Disparities Research -- Transformation of Health Care Systems -- State of the Science in Data Mining Methods -- Veteran’s Administration Database (VINCI) -- Kaiser-Permanente’s Nursing-Focused Analytics Initiative -- Mobilizing the Nursing Workforce with Data and Analytics at the Point of Care -- The Power of Disparate Data Sources for Answering Thorny Questions in Healthcare: Five Case Examples -- What Big Data Means for Schools of Nursing and Academia -- Readiness for Big Data Science - Scholarship and Research -- Global Society & Big Data: The Future We Can Get Ready For -- Data Analytics and Visualization: The Future with Big Data. |
| Record Nr. | UNINA-9910254491803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bildverarbeitung für die Medizin 2016 : Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 13. bis 15. März 2016 in Berlin / / von Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Hans-Peter Meinzer
| Bildverarbeitung für die Medizin 2016 : Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 13. bis 15. März 2016 in Berlin / / von Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Hans-Peter Meinzer |
| Autore | Tolxdorff Thomas |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2016 |
| Descrizione fisica | 1 online resource (319 p.) |
| Disciplina | 610.285 |
| Collana | Informatik aktuell |
| Soggetto topico |
Computer vision
Pattern recognition systems Medical informatics Computer Vision Automated Pattern Recognition Health Informatics |
| ISBN | 3-662-49465-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto |
Intro; Bildverarbeitung für die Medizin 2016 ; Sponsoren des Workshops BVM 2016; Preisträger des BVM-Workshops 2015 in Lübeck ; Vorwort; Inhaltsverzeichnis; Significant Advances in Medical Image Analysisorem; Wie verändert unsere Community die technische Ausstattung im OP ; Tomoelastography by Multifrequency Wave Number Recovery; Combined Background Field Removal and Reconstruction for Quantitative Susceptibility Mapping; Identifying Intracortical Partial Voluming Effects Using Cortical Surface Normals in Quantitative MRI T1 Maps Sensitive to Micro
Subpixelgenaue Positionsbestimmung in Magnetic-Particle-ImagingImproved Semi-Automatic Basket Catheter Reconstruction from two X-Ray Views; A Greedy Completion Algorithm for Retrieving Fuzzy Fine Structures Application to Aortic Lumina Separation in CTA Data ; Breast Density Assessment Using Wavelet Features on Mammograms; Comparison of Post-Hoc Normalization Approaches for CT-based Lung Emphysema Index Quantification; Nicht-modellbasierte Kalibrierung von Kameras mit Monitoren; Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung Segmentierung per Abstimmung Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern Comparative Evaluation of Interactive Segmentation Approaches; Robuste intraoperative Registrierung mit fluoreszierenden Markern für die computergestützte Laparoskopie ; Curve-to-Image Based Non-Rigid Registration of Digital Photos and Quantitative Light-Induced Fluorescence Images in Dentistry; Registration of Atrium Models to C-arm X-ray Images Based on Devices Inside the Coronary Sinus and the Esophagus Reduction of Metal Artifacts Using a New Segmentation Approach Extension of Graph Cuts for a More Precise Segmentation Used in Metal Artifact Reduction Basic Statistics of SIFT Features for Texture Analysis; Automatic Finger Joint Detection for Volumetric Hand Imaging; A Feature Selection Framework for White Matter Fiber Clustering Based on Normalized Cuts; Automated Heart Localization in Cardiac Cine MR Data; Combining Active Contours and Active Shapes for Segmentation of Fluorescently Stained Cells Application to Virology Geometrieplanung und Bildregistrierung mittels bimodaler Fiducial-Marker für Magnetic Particle ImagingPartially Rigid 3D Registration of Flexible Tissues in High Resolution Anatomical MRI; Comparison of Rigid Gradient-Based 2D/3D Registration Using Projection and Back-Projection Strategies; Morphing Image Masks for Stacked Histological Sections Using Laplace's Equation; Compression Impact on LIRE-based CBIR of Colonoscopy Data; Biometrische Messung der Pupillenreaktion; Data Completeness Estimation for 3D C-Arm Scans with Rotated Detector to Enlarge the Lateral Field-of-View Make the Most of Time Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT |
| Record Nr. | UNINA-9910484722903321 |
Tolxdorff Thomas
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bildverarbeitung für die Medizin 2017 [[electronic resource] ] : Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 12. bis 14. März 2017 in Heidelberg / / herausgegeben von Klaus Hermann Maier-Hein, geb. Fritzsche, Thomas Martin Deserno, geb. Lehmann, Heinz Handels, Thomas Tolxdorff
| Bildverarbeitung für die Medizin 2017 [[electronic resource] ] : Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 12. bis 14. März 2017 in Heidelberg / / herausgegeben von Klaus Hermann Maier-Hein, geb. Fritzsche, Thomas Martin Deserno, geb. Lehmann, Heinz Handels, Thomas Tolxdorff |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 |
| Descrizione fisica | 1 online resource (XX, 368 S. 137 Abb., 106 Abb. in Farbe.) |
| Disciplina |
006.6
006.37 |
| Collana | Informatik aktuell |
| Soggetto topico |
Computer vision
Pattern recognition systems Medical informatics Computer Vision Automated Pattern Recognition Health Informatics |
| ISBN | 3-662-54345-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910483082603321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics and Biomedical Engineering [[electronic resource] ] : 6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25–27, 2018, Proceedings, Part I / / edited by Ignacio Rojas, Francisco Ortuño
| Bioinformatics and Biomedical Engineering [[electronic resource] ] : 6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25–27, 2018, Proceedings, Part I / / edited by Ignacio Rojas, Francisco Ortuño |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXXI, 556 p.) |
| Disciplina | 004 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Health informatics Data mining Optical data processing Computer graphics Computer organization Computational Biology/Bioinformatics Health Informatics Data Mining and Knowledge Discovery Image Processing and Computer Vision Computer Graphics Computer Systems Organization and Communication Networks |
| ISBN | 3-319-78723-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bioinformatics for healthcare and diseases -- Bioinformatics tools to integrate omics dataset and address biological question -- Challenges and advances in measurement and self-parametrization of complex biological systems -- Computational genomics -- Computational proteomics -- Computational systems for modelling biological processes -- Drug delivery system design aided by mathematical modelling and experiments -- Generation, management and biological Insights from big data -- High-throughput bioinformatic tools for medical genomics -- Next generation sequencing and sequence analysis -- Interpretable models in biomedicine and bioinformatics -- Little-big data. Reducing the complexity and facing uncertainty of highly underdetermined phenotype prediction problems -- Biomedical engineering -- Biomedical image analysis -- Biomedical signal analysis -- Challenges in smart and wearable sensor design for mobile health -- Healthcare and diseases. |
| Record Nr. | UNISA-996466231603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics and Biomedical Engineering [[electronic resource] ] : 6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25–27, 2018, Proceedings, Part II / / edited by Ignacio Rojas, Francisco Ortuño
| Bioinformatics and Biomedical Engineering [[electronic resource] ] : 6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25–27, 2018, Proceedings, Part II / / edited by Ignacio Rojas, Francisco Ortuño |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXXII, 472 p.) |
| Disciplina | 570.285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Health informatics Data mining Optical data processing Computer graphics Computer organization Computational Biology/Bioinformatics Health Informatics Data Mining and Knowledge Discovery Image Processing and Computer Vision Computer Graphics Computer Systems Organization and Communication Networks |
| ISBN | 3-319-78759-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bioinformatics for healthcare and diseases -- Bioinformatics tools to integrate omics dataset and address biological question -- Challenges and advances in measurement and self-parametrization of complex biological systems -- Computational genomics -- Computational proteomics -- Computational systems for modelling biological processes -- Drug delivery system design aided by mathematical modelling and experiments -- Generation, management and biological Insights from big data -- High-throughput bioinformatic tools for medical genomics -- Next generation sequencing and sequence analysis -- Interpretable models in biomedicine and bioinformatics -- Little-big data. Reducing the complexity and facing uncertainty of highly underdetermined phenotype prediction problems -- Biomedical engineering -- Biomedical image analysis -- Biomedical signal analysis -- Challenges in smart and wearable sensor design for mobile health -- Healthcare and diseases. |
| Record Nr. | UNISA-996466231903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics and Biomedical Engineering : 6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25–27, 2018, Proceedings, Part II / / edited by Ignacio Rojas, Francisco Ortuño
| Bioinformatics and Biomedical Engineering : 6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25–27, 2018, Proceedings, Part II / / edited by Ignacio Rojas, Francisco Ortuño |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXXII, 472 p.) |
| Disciplina | 570.285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Medical informatics Data mining Computer vision Computer graphics Computer engineering Computer networks Computational and Systems Biology Health Informatics Data Mining and Knowledge Discovery Computer Vision Computer Graphics Computer Engineering and Networks |
| ISBN | 3-319-78759-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bioinformatics for healthcare and diseases -- Bioinformatics tools to integrate omics dataset and address biological question -- Challenges and advances in measurement and self-parametrization of complex biological systems -- Computational genomics -- Computational proteomics -- Computational systems for modelling biological processes -- Drug delivery system design aided by mathematical modelling and experiments -- Generation, management and biological Insights from big data -- High-throughput bioinformatic tools for medical genomics -- Next generation sequencing and sequence analysis -- Interpretable models in biomedicine and bioinformatics -- Little-big data. Reducing the complexity and facing uncertainty of highly underdetermined phenotype prediction problems -- Biomedical engineering -- Biomedical image analysis -- Biomedical signal analysis -- Challenges in smart and wearable sensor design for mobile health -- Healthcare and diseases. |
| Record Nr. | UNINA-9910349424503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics and Biomedical Engineering : 6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25–27, 2018, Proceedings, Part I / / edited by Ignacio Rojas, Francisco Ortuño
| Bioinformatics and Biomedical Engineering : 6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25–27, 2018, Proceedings, Part I / / edited by Ignacio Rojas, Francisco Ortuño |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXXI, 556 p.) |
| Disciplina | 004 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Medical informatics Data mining Computer vision Computer graphics Computer engineering Computer networks Computational and Systems Biology Health Informatics Data Mining and Knowledge Discovery Computer Vision Computer Graphics Computer Engineering and Networks |
| ISBN | 3-319-78723-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bioinformatics for healthcare and diseases -- Bioinformatics tools to integrate omics dataset and address biological question -- Challenges and advances in measurement and self-parametrization of complex biological systems -- Computational genomics -- Computational proteomics -- Computational systems for modelling biological processes -- Drug delivery system design aided by mathematical modelling and experiments -- Generation, management and biological Insights from big data -- High-throughput bioinformatic tools for medical genomics -- Next generation sequencing and sequence analysis -- Interpretable models in biomedicine and bioinformatics -- Little-big data. Reducing the complexity and facing uncertainty of highly underdetermined phenotype prediction problems -- Biomedical engineering -- Biomedical image analysis -- Biomedical signal analysis -- Challenges in smart and wearable sensor design for mobile health -- Healthcare and diseases. |
| Record Nr. | UNINA-9910349424603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics and Biomedical Engineering [[electronic resource] ] : 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26–28, 2017, Proceedings, Part II / / edited by Ignacio Rojas, Francisco Ortuño
| Bioinformatics and Biomedical Engineering [[electronic resource] ] : 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26–28, 2017, Proceedings, Part II / / edited by Ignacio Rojas, Francisco Ortuño |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXXIV, 741 p. 275 illus.) |
| Disciplina | 610.28 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Health informatics Data mining Optical data processing Computer graphics Computer organization Computational Biology/Bioinformatics Health Informatics Data Mining and Knowledge Discovery Image Processing and Computer Vision Computer Graphics Computer Systems Organization and Communication Networks |
| ISBN | 3-319-56154-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Advances in Computational Intelligence for Critical Care -- Bioinformatics for Healthcare and Diseases -- Biomedical Engineering -- Biomedical Image Analysis -- Biomedical Signal Analysis -- Biomedicine -- Challenges Representing Large-scale Biological Data -- Computational Genomics -- Computational Proteomics -- Computational Systems for Modeling Biological Processes -- Data Driven Biology - New Tools, Techniques and Resources -- eHealth -- High-throughput Bioinformatic Tools for Genomics -- Oncological Big Data and New Mathematical Tools -- Smart Sensor and Sensor-Network Architectures -- Time Lapse Experiments and Multivariate Biostatistics. |
| Record Nr. | UNISA-996466204303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Soggetto topico
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Health Informatics
(956)
- Health informatics (814)
- Artificial Intelligence (419)
- Artificial intelligence (419)
- Optical data processing (329)