Big data analysis and deep learning applications : proceedings of the first International Conference on Big Data Analysis and Deep Learning /: proceedings of the first International Conference on Big Data Analysis and Deep Learning. ([2018])

• Record Type: Book
• Further Information: Note: Thi Thi Zin, Jerry Chun-Wei Lin, editors.
• Editors: Zin, Thi Thi; Lin, Jerry Chun-Wei
• Other Names: International Conference on Big Data Analysis and Deep Learning, 1st
• Contents: Intro; Preface; Organizing Committee; General Chair; General Co-chairs; Advisory Committee Chairs; Program Committee Chair; Program Committee Co-chair; Publication Chairs; Invited Session Chairs; International Technical Program Committee Members; Contents; Big Data Analysis; Data-Driven Constrained Evolutionary Scheme for Predicting Price of Individual Stock in Dynamic Mark ...; Abstract; 1 Introduction; 1.1 Artificial Neural Network; 1.2 Genetic Algorithms (GA); 2 Problem Scenario and Assumptions; 2.1 Shift Detection (Trigger); 2.2 Shift Direction; 2.3 Shift Degree; 3 Methodology 3.1 Shift Detection Function3.2 Shift Direction and Shift Degree; 3.3 Fine Tuning; 4 Discussion; References; Predictive Big Data Analytics Using Multiple Linear Regression Model; Abstract; 1 Introduction; 2 Regression Analysis and Big Data; 3 Multiple Linear Regression; 3.1 MapReduce Framework; 4 The Proposed MapReduce Based Multiple Linear Regression Model with QR Decomposition; 4.1 Implementation of the Proposed Model; 5 Experimentation, Discussion and Conclusion; 5.1 Experimental Setup; 5.2 Discussion and Conclusion; References Evaluation for Teacher's Ability and Forecasting Student's Career Based on Big DataAbstract; 1 Introduction; 2 Related Work; 3 Processing; 3.1 Data Collection; 4 Implementation; 4.1 Analyzing the Teacher's Ability; 4.2 Forecasting the Student's Career; 5 Expected Result; 6 Conclusion; References; Tweets Sentiment Analysis for Healthcare on Big Data Processing and IoT Architecture Using Maximum Entropy Classifier; Abstract; 1 Introduction; 2 Related Work; 3 Overall System Architecture; 4 Data Collection; 5 Data Store and Processing; 5.1 Hadoop; 5.2 Raspberry Pi Hadoop Cluster 5.3 Internet of Things (IoT)6 Data Analysis; 6.1 Preprocessing Text Data; 6.2 Feature Extraction: (tf-idf); 6.3 Maximum Entropy Classifier (MaxEnt); 6.4 Classifier Trainer Algorithms; 7 Experimental Results; 8 Conclusion and Future Work; References; A Survey on Influence and Information Diffusion in Twitter Using Big Data Analytics; Abstract; 1 Introduction; 2 Twitter Network; 2.1 Twitter Metrics; 2.2 Twitter API; 2.3 Data Collection; 3 Influence Models in Social Networks; 3.1 Definition of Influence; 3.2 Information Diffusion in Twitter; 3.3 User Influence Models in Literature 4 Applications5 Conclusion; References; Real Time Semantic Events Detection from Social Media Stream; Abstract; 1 Introduction; 2 Related Works; 3 Semantic Events Detection; 4 Semantic Words Extraction; 4.1 Data Preprocessing; 5 Real Time Burst Detection; 6 Semantic Events Detection; 7 Experimental Results; 8 Conclusion; References; Community and Outliers Detection in Social Network; Abstract; 1 Introduction; 2 Related Work; 3 Background Theory; 3.1 Graph; 3.2 Node Degree and Its Neighborhood; 3.3 Communities; 3.4 Vertex Centrality; 3.5 Outliers; 3.6 Vertex Similarity; 4 Proposed Approach
• Publisher Details: Singapore : Springer
• Publication Date: 2018
• Copyright Date: 2019
• Extent: 1 online resource
• Subjects: 005; Big data -- Congresses; Data mining -- Congresses; Machine learning -- Congresses; COMPUTERS / Data Processing / General; Big data; Data mining; Machine learning; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9789811308697; 9811308691
• Related ISBNs: 9789811308680
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (EBSCO, viewed June 12, 2018).
• 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.