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Big-Data Analytics and Cloud Computing : Theory, Algorithms and Applications / / edited by Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu
Big-Data Analytics and Cloud Computing : Theory, Algorithms and Applications / / edited by Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (178 p.)
Disciplina 004
Soggetto topico Mathematical statistics
Computer networks
Computer simulation
Computer science—Mathematics
Probability and Statistics in Computer Science
Computer Communication Networks
Simulation and Modeling
Math Applications in Computer Science
ISBN 3-319-25313-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword; Preface; Overview and Goals; Organisation and Features; Target Audiences; Suggested Uses; Acknowledgements; Contents; Contributors; Part I Theory; 1 Data Quality Monitoring of Cloud Databases Based on Data Quality SLAs; 1.1 Introduction and Summary; 1.2 Background; 1.2.1 Data Quality in the Context of Big Data; 1.2.2 Cloud Computing; 1.2.3 Data Quality Monitoring in the Cloud; 1.2.4 The Challenge of Specifying a DQSLA; 1.2.5 The Infrastructure Estimation Problem; 1.3 Proposed Solutions; 1.3.1 Data Quality SLA Formalization; 1.3.2 Examples of Data Quality SLAs
1.3.3 Data Quality-Aware Service Architecture1.4 Future Research Directions; 1.5 Conclusions; References; 2 Role and Importance of Semantic Search in Big Data Governance; 2.1 Introduction; 2.2 Big Data: Promises and Challenges; 2.3 Participatory Design for Big Data; 2.4 Self-Service Discovery; 2.5 Conclusion; References; 3 Multimedia Big Data: Content Analysis and Retrieval; 3.1 Introduction; 3.2 The MapReduce Framework and Multimedia Big Data; 3.2.1 Indexing; 3.2.2 Caveats on Indexing; 3.2.3 Multiple Multimedia Processing; 3.2.4 Additional Work Required?
5 Integrating Twitter Traffic Information with Kalman Filter Models for Public Transportation Vehicle Arrival Time Prediction5.1 Introduction; 5.2 Communication Platform on Twitter; 5.3 Communication for Data Collection on Twitter; 5.4 Event Detection and Analysis: Tweets Relating to Road Incidents; 5.4.1 Twitter Data: Incident Data Set; 5.5 Methodology; 5.5.1 Time Series and Temporal Analysis of Textual Twitter; 5.6 Proposed Refined Kalman Filter (KF) Model-Based System; 5.7 Conclusion; References; 6 Data Science and Big Data Analytics at Career Builder
6.1 Carotene: A Job Title Classification System6.1.1 Occupation Taxonomies; 6.1.2 The Architecture of Carotene; 6.1.2.1 Taxonomy Discovery Using Clustering; 6.1.2.2 Coarse-Level Classification: SOC Major Classifier; 6.1.2.3 Fine-Level Classification: Proximity-Based Classifier; 6.1.3 Experimental Results and Discussion; 6.2 CARBi: A Data Science Ecosystem; 6.2.1 Accessing CB Data and Services Using WebScalding; 6.2.2 ScriptDB: Managing Hadoop Jobs; References; 7 Extraction of Bayesian Networks from Large Unstructured Datasets; 7.1 Introduction; 7.2 Text Mining; 7.2.1 Text Mining Techniques
7.2.2 General Architecture and Various Components of Text Mining
Record Nr. UNINA-9910298964403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Granular Mechanics and Its Engineering Applications / / by Shunying Ji, Lu Liu
Computational Granular Mechanics and Its Engineering Applications / / by Shunying Ji, Lu Liu
Autore Ji Shunying
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVII, 387 p. 334 illus., 254 illus. in color.)
Disciplina 620.43
Collana Springer Tracts in Mechanical Engineering
Soggetto topico Mechanics
Mechanics, Applied
Field theory (Physics)
Ocean engineering
Theoretical and Applied Mechanics
Classical and Continuum Physics
Offshore Engineering
ISBN 981-15-3304-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Generation of Irregular Shaped Particle Elements -- Micro Contact Model of Granular Materials -- Macro-micro Analysis of Granular Materials -- DEM-FEM Coupling Analysis of Granular Materials -- Fluid-Solid Coupling Analysis of Granular Materials -- High Performance Algorithm, Computing and Analysis Software of DEM Based on GPU Parallel Technology -- DEM Analysis for Ice Loads on Ship and Offshore Structure -- DEM Analysis for Characteristics of Railway Ballast Bed -- DEM Analysis of Vibration Reduction and Buffering Capacity of Granular Material.
Record Nr. UNINA-9910383836903321
Ji Shunying  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui