Shahriar Badsha

Journal of Big Data · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Shahriar Badsha trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Rakesh Agrawal
2. Jiawei Han
3. J. Ross Quinlan

Who trusts Shahriar Badsha overall

1. Iqbal H. Sarker

Papers from Shahriar Badsha's perspective

Ordered by how strongly the researchers Shahriar Badsha trusts endorse each paper. Same corpus, a different order for every researcher.

1. Programs for Machine Learning
2. C4.5: Programs for Machine Learning
3. A detailed analysis of the KDD CUP 99 data set (IEEE Symposium on Computational Intelligence for Security and Defense Applications)
4. Some methods for classification and analysis of multivariate observations
5. Experiments with a New Boosting Algorithm
6. Mining association rules between sets of items in large databases
7. Mining frequent patterns without candidate generation
8. Data Mining: Concepts and Techniques
9. Singular value decomposition and principal component analysis
10. UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) (Military Communications and Information Systems Conference)

Their papers

• Cybersecurity data science: an overview from machine learning perspective (2020) — 621 citations