Social network forensics, cyber security, and machine learning / P. Venkata Krishna, Sasikumar Gurumoorthy and Mohammad S. Obaidat.

By: Contributor(s): Publication details: New York, NY : Springer Berlin Heidelberg, c2019Description: viii,116 p. : ill. ; 24 cmISBN:
  • 9789811314551
Subject(s): DDC classification:
  • 23 006.754 VEN
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Item type Current library Call number Copy number Status Date due Barcode
Book Closed Access Book Closed Access Engineering Library 006.754 VEN (Browse shelf(Opens below)) 1 Available BUML24010345

Contents

1.Classifying content quality and interaction quality online social network
Introduction
Related work
Analyzing content quality in social media
Analyzing interaction quality in social media
Conclusion


2. Population classification upon dietary data using machine learning techniques with IoT and big data
Introduction
Related work
Proposed method
Experiment result and discussion
Future work
Conclusion

3. Investigating recommender system in OSNs
Introduction
Analyzing available public data
Facebook centred high-quality (Disadvantages)
Database system support: Recommendation applications
Conclusion

4. A methodology for processing opinion mining on GST in India from social media data using recursive neural networks and maximum entropy technique
Introduction
Social media Data analytic
Goods and services tax (GST) and its significance
Opinion mining for data analytics
Comparison of algorithms
Proposed methodology
Conclusion and future work

5. A framework for sentiment analysis based recommender system for agriculture using deep learning approach
Introduction
Background
System model
Methodology
Experimental result Discussion
Conclusion

6. A review on Crypto-Current transactions IOTA (Technology)
Introduction
Existing block chain
Short coming in block chain and Bitcoins
IOTA
Summary
Conclusion

7. Predicting Ozone layer concentration using machine learning technique
Introduction
Background
Results
Conclusion

8. Graph analysis and visualization of social network big data
Introduction
Social networking
Graph analysis and visualization
Graph-based social networks analysis system
Conclusion

9. Research challenges in big data solutions in different application
Introduction
Application of big data
Big data challenges in data analytic process and solutions
Data storage
Data processing
Data quality and relevance
Data privacy and security
Data scalability
Conclusion









Includes Bibliobraphic References

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