Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.
| Acknowledgments |
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ix | |
| Preface |
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xi | |
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xv | |
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SECTION I DATA ANALYTICS CONCEPTS |
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1 An Introduction to Machine Learning |
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3 | (30) |
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2 Regression for Data Analytics |
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33 | (22) |
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3 Big Data-Appropriate Clustering via Stochastic Approximation and Gaussian Mixture Models |
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55 | (18) |
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4 Information Retrieval Methods for Big Data Analytics on Text |
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73 | (24) |
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97 | (34) |
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SECTION II DATA ANALYTICS TECHNIQUES |
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6 Transition from Relational Database to Big Data and Analytics |
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131 | (40) |
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7 Big Graph Analytics: Techniques, Tools, Challenges, and Applications |
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171 | (28) |
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Pijush Kanti Dutta Pramanik |
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8 Application of Game Theory for Big Data Analytics |
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199 | (20) |
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Mohammad Muhtady Muhaisin |
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9 Project Management for Effective Data Analytics |
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219 | (16) |
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10 Blockchain in the Era of Industry 4.0 |
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235 | (40) |
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11 Dark Data for Analytics |
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275 | (22) |
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SECTION III DATA ANALYTICS APPLICATIONS |
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12 Big Data: Prospects and Applications in the Technical and Vocational Education and Training Sector |
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297 | (20) |
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Md. Shahadat Hossain Khan |
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13 Sports Analytics: Visualizing Basketball Records in Graphical Form |
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317 | (26) |
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14 Analysis of Traffic Offenses in Transportation: Application of Big Data Analysis |
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343 | (32) |
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Charitha Subhashi Jayasekara |
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15 Intrusion Detection for Big Data |
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375 | (28) |
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16 Health Care Security Analytics |
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403 | (14) |
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Abu Saleh Shah Mohammad Barkat Ullah |
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| Index |
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417 | |
Mohiuddin Ahmed attained his PhD from UNSW Australia and currently working as Lecturer in Canberra Institute of Technology with the department of ICT & Library Studies. His research interests include Big Data Analytics, Machine Learning, Network Security, IoT and HealthCare. He is exploring Deep Learning for a sensible solution for Big Data Analytics. He has made practical and theoretical contribution for data summarization for network traffic analysis. His research also has a high impact on financial fraud detection, critical infrastructure protection (SCADA systems, Smart Grid), information security against DoS attacks and complicated health data (heart disease, nutrition) analysis. He has published a number of journals and conferences papers in reputed venues of computer science. Mohiuddin holds a Bachelor of Science Degree in Computer Science and Information Technology with High Distinction from Islamic University of Technology, OIC.
Al-Sakib Khan Pathan received his PhD degree (MS leading to PhD) in computer engineering in 2009 from Kyung Hee University, South Korea. He received a BSc degree in computer science and information technology from the Islamic University of Technology, Bangladesh, in 2003.He is currently an Associate Professor at the Computer Science and Engineering (CSE) department, Southeast University, Bangladesh. He was an assistant professor in the Computer Science Department at the International Islamic University Malaysia, Malaysia. Until June 2010, he served as an assistant professor in the Computer Science and Engineering Department at BRAC University, Bangladesh. Prior to holding this position, he worked as a researcher at the Networking Lab, Kyung Hee University, South Korea, up to August 2009. His research interests include wireless sensor networks, network security, and e-services technologies.
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