Screen LibraryCognitive social mining applications in data analytics and forensics /
"This book presents the most recent challenges and developments in 'machine learning in data analytics and forensics for cognitive social mining' from the perspective of providing awareness and its best practices for the real world"--
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| Corporate Authors: | |
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| Group Author: | ; |
| Published: |
IGI Global,
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| Publisher Address: | Hershey, Pennsylvania : |
| Publication Dates: | [2019] |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7522-1 |
| Summary: |
"This book presents the most recent challenges and developments in 'machine learning in data analytics and forensics for cognitive social mining' from the perspective of providing awareness and its best practices for the real world"-- |
| Carrier Form: | 25 PDFs (xxi, 326 pages) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781522575238 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
| Index Number: | QA76 |
| CLC: | TP311.13 |
| Contents: | Chapter 1. The potential of cognitive social mining applications in data analytics for protecting social media users for national and international security -- Chapter 2. Data mining techniques for social network analysis -- Chapter 3. Semantic-based indexing approaches for medical document clustering using cognitive search -- Chapter 4. Efficient space communication and management (SCOAM) using cognitive radio networks based on deep learning techniques: cognitive radio in space communication -- Chapter 5. Side channel attacks in cloud computing -- Chapter 6. Cognitive social mining analysis using data mining techniques -- Chapter 7. Cognitive mining for exploratory data analytics using clustering based on particle swarm optimization: cognitive mining for exploratory data analytics -- Chapter 8. A review of artificial intelligence technologies to achieve machining objectives -- Chapter 9. Data mining for social network analysis using a CLIQUE algorithm -- Chapter 10. Privacy information leakage prevention in cognitive social mining applications: causes and prevention measures -- Chapter 11. Study of efficient hybrid wireless networks using qos-oriented distributed routing protocol: qos-oriented distributed routing protocol -- Chapter 12. Machine learning techniques for healthcare applications: early autism detection using ensemble approach and breast cancer prediction using SMO and IBK -- Chapter 13. A detailed study on security concerns of VANET and cognitive radio vanets -- Chapter 14. Application of cognitive computing in healthcare -- Chapter 15. Cognitive social exchange: a case study. |