Survey on Classification Techniques for Data Mining

By Vivek Agarwal, Saket Thakare, Akshay Jaiswal. 2015

347 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/a5480821bb4d0a88c927940432094fe70f6d614c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. John T. Hancock
2. Maruf Pasha
3. Taghi M. Khoshgoftaar
4. Meherwar Fatima
5. Sergey I. Nikolenko

In Information Systems

1. John T. Hancock
2. Maruf Pasha
3. Taghi M. Khoshgoftaar
4. Meherwar Fatima
5. Amit Sharma
6. Dan Cosley
7. Fabio Aiolli

Citations in the corpus

• Survey of Machine Learning Algorithms for Disease Diagnostic (2017, background): “It is lazy as they store entire the training examples [16].”
• CatBoost for big data: an interdisciplinary review (2020, methodology): “Sujatha M, Prabhakar S, Lavanya GD.”
• A survey on missing data in machine learning (2021, methodology): “This method does not support pruning by default, however, it can be done after building a data model [94].”