Swasti Singhal

2013

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Swasti Singhal trusts overall

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

1. S. Kotsiantis
2. J. Ross Quinlan
3. Dimitris N. Kanellopoulos
4. Steven L. Salzberg
5. P. Pintelas

Papers from Swasti Singhal's perspective

Ordered by how strongly the researchers Swasti Singhal 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. Data Preprocessing for Supervised Leaning
4. MetaCost: a general method for making classifiers cost-sensitive
5. Fast Algorithms for Mining Association Rules
6. Robust Classification for Imprecise Environments
7. Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection
8. The class imbalance problem: A systematic study
9. LOF: identifying density-based local outliers
10. Evaluating boosting algorithms to classify rare classes: comparison and improvements (Proceedings 2001 IEEE International Conference on Data Mining)

Their papers

• A Study on WEKA Tool for Data Preprocessing, Classification and Clustering (2013)