A Deep Learning-Based Approach for Predicting the Outcome of H-1B Visa Application-Reference-Cited by-同舟云学术

A Deep Learning-Based Approach for Predicting the Outcome of H-1B Visa Application

Published:2020 Issue: Volume: Page:193-202
ISSN:2194-5357
Container-title:Machine Learning and Information Processing
language:
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Author:

Dombe Anay,Rewale Rahul,Swain Debabrata

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-1884-3_18

Reference7 articles.

1. Boyd, Monica. 2014. Recruiting high skill labour in North America: Policies, outcomes and futures. International Migration 52 (3): 40–54.

2. Dreher, Axel, and Panu Poutvaara. 2005. Student flows and migration: An empirical analysis.

3. Jing-Lin. H-1B Visa Data Analysis and Prediction by using K-means Clustering and Decision Tree Algorithms. [Online] Available: https://github.com/Jinglin-LI/H1B-Visa-Prediction-by-Machine-Learning-Algorithm/blob/master/H1B%20Prediction%20Research%20Report.pdf .

4. H-1B Visa Petitions 2011–2016—Kaggle. [Online]. Available: https://www.kaggle.com/nsharan/h-1b-visa/data . Accessed October 20, 2017.

5. Seo, Songwon. 2006. A review and comparison of methods for detecting outliers in univariate data sets. Master’s Thesis, University of Pittsburgh (Unpublished).

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