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Index
Front Cover
Contents
Foreword by Jack Dongarra
Preface
Editors
Contributors
Chapter 1: Scalable Indexing for Big Data Processing
Chapter 2: Scalability and Cost Evaluation of Incremental Data Processing Using Amazon’s Hadoop Service
Chapter 3: Singular Value Decomposition, Clustering, and Indexing for Similarity Search for Large Data Sets in High-Dimensional Spaces
Chapter 4: Multiple Sequence Alignment and Clustering with Dot Matrices, Entropy, and Genetic Algorithms
Chapter 5: Approaches for High-Performance Big Data Processing : Applications and Challenges
Chapter 6: The Art of Scheduling for Big Data Science
Chapter 7: Time–Space Scheduling in the MapReduce Framework
Chapter 8: GEMS: Graph Database Engine for Multithreaded Systems
Chapter 9: KSC-net : Community Detection for Big Data Networks
Chapter 10: Making Big Data Transparent to the Software Developers’ Community
Chapter 11: Key Technologies for Big Data Stream Computing
Chapter 12: Streaming Algorithms for Big Data Processing on Multicore Architecture
Chapter 13: Organic Streams : A Unified Framework for Personal Big Data Integration and Organization Towards Social Sharing and Individualized Sustainable Use
Chapter 14: Managing Big Trajectory Data : Online Processing of Positional Streams
Chapter 15: Personal Data Protection Aspects of Big Data
Chapter 16: Privacy-Preserving Big Data Management : The Case of OLAP
Chapter 17: Big Data in Finance
Chapter 18: Semantic-Based Heterogeneous Multimedia Big Data Retrieval
Chapter 19: Topic Modeling for Large-Scale Multimedia Analysis and Retrieval
Chapter 20: Big Data Biometrics Processing : A Case Study of an Iris Matching Algorithm on Intel Xeon Phi
Chapter 21: Storing, Managing, and Analyzing Big Satellite Data : Experiences and Lessons Learned from a Real-World Application
Chapter 22: Barriers to the Adoption of Big Data Applications in the Social Sector
Back Cover
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