Josephine M. Namayanja

Orcid: 0000-0001-6786-2551

According to our database1, Josephine M. Namayanja authored at least 15 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2020
IP Reputation Scoring with Geo-Contextual Feature Augmentation.
ACM Trans. Manag. Inf. Syst., 2020

A Conceptual Framework to Discover IT Project Risks in Developing Economies: An Application to Cambodia and Uganda Contexts.
Pac. Asia J. Assoc. Inf. Syst., 2020

Discovering Similarity Across Heterogeneous Features: A Case Study of Clinico-Genomic Analysis.
Int. J. Data Warehous. Min., 2020

Imbalanced Learning in Massive Phishing Datasets.
Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

2019
Change Detection in Large Evolving Networks.
Int. J. Data Warehous. Min., 2019

Exact algorithms for the minimum cost vertex blocker clique problem.
Comput. Oper. Res., 2019

IT Project Risks in Developing Economies: For the Contexts of Cambodia and Uganda.
Proceedings of the 23rd Pacific Asia Conference on Information Systems, 2019

2018
Characterization of network behavior to detect changes: a cybersecurity perspective.
Proceedings of the Workshop Program of the 19th International Conference on Distributed Computing and Networking, 2018

2016
Label propagation in big data to detect remote access Trojans.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Change detection in evolving computer networks: Changes in densification and diameter over time.
Proceedings of the 2015 IEEE International Conference on Intelligence and Security Informatics, 2015

2014
Change detection in temporally evolving computer networks: A big data framework.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

B-dids: Mining anomalies in a Big-distributed Intrusion Detection System.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Discovery of persistent threat structures through temporal and geo-spatial characterization in evolving networks.
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

2011
Subspace Discovery for Disease Management: A Case Study in Metabolic Syndrome.
Int. J. Comput. Model. Algorithms Medicine, 2011

2010
Evaluation of Clustering Patterns using Singular Value Decomposition (SVD): A Case Study of Metabolic Syndrome.
Int. J. Comput. Model. Algorithms Medicine, 2010


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