Big Data Applications and Use Cases [[electronic resource] /] / edited by Patrick C. K. Hung

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
• Edizione: 1st ed. 2016.
• Descrizione fisica: 1 online resource (216 p.)
• Disciplina: 004.36
• Soggetto topico: Database management; Business information services; Database Management; IT in Business
• Persona (resp. second.): HungPatrick C. K
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Contents; Introduction to Big Data; 1 Introduction to Big Data; 1.1 What is Big Data?; 1.2 Uses for Big Data; 1.2.1 Marketing; 1.2.2 Pervasive Computing; 1.2.3 Internet of Things (IoT); 1.2.4 Smart Cities; 2 Big Data Analytics; 3 Case Studies; 3.1 Healthcare; 3.2 Retail; 3.3 Insurance; 3.4 Google Flu Trends; 3.5 Telecommunications; 4 Security and Privacy Concerns; 4.1 Personal Information Protection and Electronic Documents Act (PIPEDA); 4.2 Personal Health Information Protection Act (PHIPA); 5 Conclusions; References ; A Bloom Filter-Based Approach for Supporting the Representation and Membership Query of Multidimensional Dataset1 Introduction; 2 Related Work; 3 CBF Design and Analysis; 3.1 CBF Algorithm and Structure; 3.1.1 CBF Structure; 3.1.2 Item Insertion; 3.1.3 Exact Membership Query; 3.1.4 By-Attribute Membership Query; 3.2 False Rate and Optimal Hash Number; 3.3 Space Efficiency and Time Complexity; 3.4 Growth of Dimensions; 4 Experimental Evaluation; 4.1 False Positive Rate and Optimal Hash Number; 4.2 Exact Membership Search; 4.3 By-Attribute Membership Search; 5 Conclusion and Future Work ; ReferencesAutomatic Speech and Singing Discrimination for Audio Data Indexing; 1 Introduction; 2 An Intuitive Approach Based on Speech Recognition; 3 Proposed Approach; 3.1 Timbre-Based Feature Extraction and Modeling; 3.2 Pitch-Based Feature Extraction; 4 Experiments; 4.1 Voice Data; 4.2 Experiment Results; 4.2.1 Evaluation of the Speech-Recognition-Based Discrimination System; 4.2.2 Evaluation of the Proposed Speech/Singing Discrimination System; 5 Conclusion; References ; Exploring the Feature Selection-Based Data Analytics Solutions for Text Mining Online Communities by Investigating the Influen...1 Introduction; 1.1 Background; 1.2 Objectives; 1.3 Justification; 2 Related Works; 2.1 Research on Users; 2.2 Research on User-Generated Contents; 2.3 Research on Functionality of CQA Websites; 3 Methodology; 3.1 Dataset; 4 Feature Identification; 4.1 Metadata Features; 4.1.1 Askerś User Profile; 4.1.2 Questions; 4.2 Content Features; 4.2.1 Textual Features; 4.2.2 Content Appraisal; 5 Data Preprocessing; 5.1 Feature Extraction; 5.2 Feature Normalization ; 5.3 Feature Selection6 Classification; 6.1 Classification Algorithms; 6.2 Cross-Validation; 6.3 Evaluation Metrics; 7 Results and Discussion; 7.1 Feature Selection; 7.2 Classification; 8 Discussion; 9 Conclusion; 9.1 Challenges and Future Research; 9.2 Significance of the Study; Appendix 1. Inter-Rater Agreement for Content Appraisal Features; Appendix 2. Accuracy and AUC from Tenfold Cross-Validation; Appendix 3. ROC Curves from Tenfold Cross-Validation; References; Temporal Event Tracing on Big Healthcare Data Analytics; 1 Introduction; 2 Related Work; 3 Methods; 3.1 Model Layer ; 3.2 View Layer
• Sommario/riassunto: This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business. .
• Titolo autorizzato: Big Data Applications and Use Cases
• ISBN: 3-319-30146-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910254988003321
• Lo trovi qui: Univ. Federico II
• Serie: International Series on Computer, Entertainment and Media Technology, . 2364-9488