International Journals

1. Shankru Guggari, Vijayakumar Kadappa and Umadevi V, ‘Music Rhythm tree based Partitioning Technique’, Neural Computing and Applications (Under Review)[Scopus Indexed].

2. Non-sequential partitioning approaches to decision tree classifier, S Guggari, V Kadappa, V Umadevi Future Computing and Informatics Journal 3 (2), 275-285, 2018 (Elsevier Publication)

International Conferences

1. Frequent-itemsets based partitioning approach to decision tree classifiers,S Guggari, V Kadappa, V Umadevi, Lecture notes in artificial intelligence, NIT, Goa, 2019 (Springer Publication).

2. Theme-Based Partitioning Approach to Decision Tree: An Extended Experimental Analysis, S Guggari, V Kadappa, V Umadevi, Emerging Research in Electronics, Computer Science and Technology, 117-127, 2019 (Springer Publication).

3. A Map-Reduce Model of Decision Tree Classifier using Attribute Partitioning, N Shivaraju, V Kadappa, S Guggari, International Conference on Current Trends in Computer, Electrical 2017.

4. Teacher recruitment data analytics using association rule mining in Indian context, V Kadappa, S Guggari, A Negi, 2016 International Conference on Data Science and Engineering (ICDSE), 1-7, 2016.

5. Decision tree classifier using theme based partitioning, V Kadappa, S Guggari, A Negi, International Conference on Computing and Network Communications 2015.