Krishan Kumar Sethi

According to our database, Krishan Kumar Sethi authored at least 11 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

A Spark-based high utility itemset mining with multiple external utilities.

Krishan Kumar Sethi, Dharavath Ramesh, Munesh Chandra Trivedi

Clust. Comput., 2022

2021

A Spark-based Apriori algorithm with reduced shuffle overhead.

Shashi Raj, Dharavath Ramesh, Krishan Kumar Sethi

J. Supercomput., 2021

2020

A fast high average-utility itemset mining with efficient tighter upper bounds and novel list structure.

Krishan Kumar Sethi, Dharavath Ramesh

J. Supercomput., 2020

EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data.

Shashi Raj, Dharavath Ramesh, M. Sreenu, Krishan Kumar Sethi

Knowl. Inf. Syst., 2020

High average-utility itemset mining with multiple minimum utility threshold: A generalized approach.

Krishan Kumar Sethi, Dharavath Ramesh

Eng. Appl. Artif. Intell., 2020

Correlated High Average-Utility Itemset Mining.

Krishan Kumar Sethi, Dharavath Ramesh

Proceedings of the Evolution in Computational Intelligence, 2020

2019

Parallel High Average-Utility Itemset Mining Using Better Search Space Division Approach.

Krishan Kumar Sethi, Dharavath Ramesh, M. Sreenu

Proceedings of the Distributed Computing and Internet Technology, 2019

HUIM-SMP: High utility itemset mining based stock market analogy.

Krishan Kumar Sethi, Dharavath Ramesh, Aman Rathore, Shantanu Sarin

Proceedings of the 10th International Conference on Computing, 2019

2017

HFIM: a Spark-based hybrid frequent itemset mining algorithm for big data processing.

Krishan Kumar Sethi, Dharavath Ramesh

J. Supercomput., 2017

2016

PPS: Parallel Pincer Search for Mining Frequent Itemsets Based on Spark.

Krishan Kumar Sethi, Dharavath Ramesh, Samuel Nyakotey

Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016

2015

Delay Scheduling with Reduced Workload on JobTracker in Hadoop.

Krishan Kumar Sethi, Dharavath Ramesh

Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2015