Big Data Technologies And Applications: 7th International Conference, Bdta 2016, Seoul, South Korea, November 17-18, 2016, Proceedings (lecture Notes ... And Telecommunications Engineering)

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques big data analytics and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors. Front Matter....Pages I-X Front Matter....Pages 1-1 Visualization of Mixed Attributed High-Dimensional Dataset Using Singular Value Decomposition....Pages 3-11 Max-flow Min-cut Algorithm in Spark with Application to Road Networks....Pages 12-22 Association Between Regional Difference in Heart Rate Variability and Inter-prefecture Ranking of Healthy Life Expectancy: ALLSTAR Big Data Project in Japan....Pages 23-28 Allocation Four Neighbor Exclusive Channels to Polyhedron Clusters in Sensor Networks....Pages 29-39 Feature Selection Techniques for Improving Rare Class Classification in Semiconductor Manufacturing Process....Pages 40-47 A Novel Method for Extracting Dynamic Character Network from Movie....Pages 48-53 Handling Uncertainty in Clustering Art-Exhibition Visiting Styles....Pages 54-63 Using Geotagged Resources on Social Media for Cultural Tourism: A Case Study on Cultural Heritage Tourism....Pages 64-72 Archaeological Site Image Content Retrieval and Automated Generating Image Descriptions with Neural Network....Pages 73-82 Correcting Misspelled Words in Twitter Text....Pages 83-90 Theoretical Concept of Inverse Kinematic Models to Determine Valid Work Areas Using Target Coordinates from NC-Programs....Pages 91-101 Front Matter....Pages 103-103 Ransomware-Prevention Technique Using Key Backup....Pages 105-114 Multi-level Steganography Based on Fuzzy Vault Systems and Secret Sharing Techniques....Pages 115-121 On Exploiting Static and Dynamic Features in Malware Classification....Pages 122-129 Distributed Compressive Sensing for Correlated Information Sources....Pages 130-137 MMSE Based Interference Cancellation and Beamforming Scheme for Signal Transmission in IoT....Pages 138-143 A Multi-user-collaboration Platform Concept for Managing Simulation-Based Optimization of Virtual Tooling as Big Data Exchange Service....Pages 144-153 Back Matter....Pages 155-155 This book constitutes the refereed post-conference proceedings of the 7th International Conference on Big data Technologies and Applications, BDTA 2016, held in Seoul, South Korea, in November 2016. BDTA 2016 was collocated with the First International Workshop on Internet of Things, Social Network, and Security in Big Data, ISSB 2016 and the First International Workshop on Digital Humanity with Big Data, DiHuBiDa 2016. The 17 revised full papers were carefully reviewed and selected from 25 submissions and handle theoretical foundations and practical applications which premise the new generation of data analytics and engineering.