Tin Thein Thwel, PhD is a Professor at Myanmar Institute of Information Technology (MIIT), Mandalay, Myanmar. She received her PhD in Information Technology from the University of Computer Studies, Yangon (UCSY), Myanmar. She is a reviewer and technical committee member of the International Conference on Computer and Applications (ICCA) on data deduplication, cyber security, data mining, and information retrieval. She has 16 years of teaching experience at the university level and her research interests include data deduplication, cyber security, data mining and data science, information retrieval, and distributed computing. Dr. G R Sinha is a Professor at Myanmar Institute of Information Technology (MIIT) Mandalay, Myanmar. To his credit are over 200 research papers, book chapters, and books, including Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare, Biomedical Signal Processing for Healthcare Applications, Brain and Behavior Computing, and Data Science and Its Applications, Advances in Biometrics, and Cognitive Informatics, Volumes 1 and 2, AI-Based Brain Computer Interfaces, and Data Deduplication Approaches. He was Dean of Faculty and an Executive Council Member of CSVTU and has served as Distinguished Speaker in the field of Digital Image Processing for the Computer Society of India. His research interests include Applications of Machine Learning and Artificial Intelligence in Medical Image Analysis, Biomedical Signal Analysis, Computer Aided Diagnosis, Computer Vision, and Cognitive Science.

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• 1. Introduction to data deduplication approaches2. Data deduplication concepts3. Concepts, strategies, and challenges of data deduplication4. Existing mechanisms for data deduplication5. Classification criteria for data deduplication methods6. File chunking approaches7. Study of data deduplication for file chunking approaches8. Essentials of data deduplication using open-source toolkit9. Efficient data deduplication scheme for scale-out distributed storage10. Identification of duplicate bug reports in software bug repositories: a systematic review, challenges and future scope11. A survey and critical analysis on energy generation from datacenter12. Review of MODIS EVI and NDVI data for data mining applications13. Performance modeling for secure migration processes of legacy systems to the cloud computing14. DedupCloud: an optimized efficient virtual machine deduplication algorithm in cloud computing environment15. Data deduplication for cloud storage16. Data duplication using Amazon Web Services cloud storage17. Game-theoretic analysis of encrypted cloud data deduplication18. Data deduplication applications in cognitive science and computer vision research

Tin Thein Thwel, PhD is a Professor at Myanmar Institute of Information Technology (MIIT), Mandalay, Myanmar. She received her PhD in Information Technology from the University of Computer Studies, Yangon (UCSY), Myanmar. She is a reviewer and technical committee member of the International Conference on Computer and Applications (ICCA) on data deduplication, cyber security, data mining, and information retrieval. She has 16 years of teaching experience at the university level and her research interests include data deduplication, cyber security, data mining and data science, information retrieval, and distributed computing. Dr. G R Sinha is a Professor at Myanmar Institute of Information Technology (MIIT) Mandalay, Myanmar. To his credit are over 200 research papers, book chapters, and books, including Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare, Biomedical Signal Processing for Healthcare Applications, Brain and Behavior Computing, and Data Science and Its Applications, Advances in Biometrics, and Cognitive Informatics, Volumes 1 and 2, AI-Based Brain Computer Interfaces, and Data Deduplication Approaches. He was Dean of Faculty and an Executive Council Member of CSVTU and has served as Distinguished Speaker in the field of Digital Image Processing for the Computer Society of India. His research interests include Applications of Machine Learning and Artificial Intelligence in Medical Image Analysis, Biomedical Signal Analysis, Computer Aided Diagnosis, Computer Vision, and Cognitive Science.

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• 1. Introduction to data deduplication approaches2. Data deduplication concepts3. Concepts, strategies, and challenges of data deduplication4. Existing mechanisms for data deduplication5. Classification criteria for data deduplication methods6. File chunking approaches7. Study of data deduplication for file chunking approaches8. Essentials of data deduplication using open-source toolkit9. Efficient data deduplication scheme for scale-out distributed storage10. Identification of duplicate bug reports in software bug repositories: a systematic review, challenges and future scope11. A survey and critical analysis on energy generation from datacenter12. Review of MODIS EVI and NDVI data for data mining applications13. Performance modeling for secure migration processes of legacy systems to the cloud computing14. DedupCloud: an optimized efficient virtual machine deduplication algorithm in cloud computing environment15. Data deduplication for cloud storage16. Data duplication using Amazon Web Services cloud storage17. Game-theoretic analysis of encrypted cloud data deduplication18. Data deduplication applications in cognitive science and computer vision research

Tin Thein Thwel, PhD is a Professor at Myanmar Institute of Information Technology (MIIT), Mandalay, Myanmar. She received her PhD in Information Technology from the University of Computer Studies, Yangon (UCSY), Myanmar. She is a reviewer and technical committee member of the International Conference on Computer and Applications (ICCA) on data deduplication, cyber security, data mining, and information retrieval. She has 16 years of teaching experience at the university level and her research interests include data deduplication, cyber security, data mining and data science, information retrieval, and distributed computing. Dr. G R Sinha is a Professor at Myanmar Institute of Information Technology (MIIT) Mandalay, Myanmar. To his credit are over 200 research papers, book chapters, and books, including Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare, Biomedical Signal Processing for Healthcare Applications, Brain and Behavior Computing, and Data Science and Its Applications, Advances in Biometrics, and Cognitive Informatics, Volumes 1 and 2, AI-Based Brain Computer Interfaces, and Data Deduplication Approaches. He was Dean of Faculty and an Executive Council Member of CSVTU and has served as Distinguished Speaker in the field of Digital Image Processing for the Computer Society of India. His research interests include Applications of Machine Learning and Artificial Intelligence in Medical Image Analysis, Biomedical Signal Analysis, Computer Aided Diagnosis, Computer Vision, and Cognitive Science.

Select Guide Rating

• 1. Introduction to data deduplication approaches2. Data deduplication concepts3. Concepts, strategies, and challenges of data deduplication4. Existing mechanisms for data deduplication5. Classification criteria for data deduplication methods6. File chunking approaches7. Study of data deduplication for file chunking approaches8. Essentials of data deduplication using open-source toolkit9. Efficient data deduplication scheme for scale-out distributed storage10. Identification of duplicate bug reports in software bug repositories: a systematic review, challenges and future scope11. A survey and critical analysis on energy generation from datacenter12. Review of MODIS EVI and NDVI data for data mining applications13. Performance modeling for secure migration processes of legacy systems to the cloud computing14. DedupCloud: an optimized efficient virtual machine deduplication algorithm in cloud computing environment15. Data deduplication for cloud storage16. Data duplication using Amazon Web Services cloud storage17. Game-theoretic analysis of encrypted cloud data deduplication18. Data deduplication applications in cognitive science and computer vision research