Big-data analytics and cloud computing : theory, algorithms and applications /: theory, algorithms and applications. (2015)

• Record Type: Book
• Further Information: Note: Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu, editors.
• Editors: Trovati, Marcello; (Professor of computing), Hill, Richard; Anjum, Ashiq; Zhu, Shao Ying; Liu, Lu, 1980-
• Contents: 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? 3.3 Deep Learning and Multimedia Data3.4 Conclusions; References; 4 An Overview of Some Theoretical Topological Aspects of Big Data; 4.1 Introduction; 4.2 Representation of Data; 4.3 Homology Theory; 4.3.1 Simplicial Complexes; 4.3.2 Voronoi Diagrams and Delaunay Triangulations; 4.3.3 Vietoris and Čech Complexes; 4.3.4 Graph-Induced Complexes; 4.3.5 Chains; 4.4 Network Theory for Big Data; 4.4.1 Scale-Free, Small-World and Random Networks; 4.5 Conclusions; References; Part II Applications. 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.
• Publisher Details: Cham : Springer
• Publication Date: 2015
• Extent: 1 online resource (xvi, 169 pages), color illustrations
• Subjects: 004.67/82; Computer science; Cloud computing; Big data; COMPUTERS -- Computer Literacy; COMPUTERS -- Computer Science; COMPUTERS -- Data Processing; COMPUTERS -- Hardware -- General; COMPUTERS -- Information Technology; COMPUTERS -- Machine Theory; COMPUTERS -- Reference; Big data; Cloud computing; Computer Science; Probability and Statistics in Computer Science; Computer Communication Networks; Simulation and Modeling; Math Applications in Computer Science; Computers -- Hardware -- Network Hardware; Computers -- Computer Simulation; Network hardware; Computer modelling & simulation; Maths for computer scientists; Computer Communication Networks; Computer simulation; Computers -- Mathematical & Statistical Software; Electronic books
• Languages: English
• ISBNs: 9783319253138; 3319253131
• Related ISBNs: 9783319253114; 3319253115
• Notes: Note: Includes bibliographical references at the end of each chapters and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed January 20, 2016).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.