Delay Scheduling with Reduced Workload on JobTracker in Hadoop. - Krishan Kumar Sethi; Dharavath Ramesh (IBICA, 2015)

PPS: Parallel Pincer Search for Mining Frequent Itemsets Based on Spark. - Krishan Kumar Sethi; Dharavath Ramesh; Samuel Nyakotey (SoCPaR, 2016)

HFIM: a Spark-based hybrid frequent itemset mining algorithm for big data processing. - Krishan Kumar Sethi; Dharavath Ramesh (J. Supercomput., 2017)

HUIM-SMP: High utility itemset mining based stock market analogy. - Krishan Kumar Sethi; Dharavath Ramesh; Aman Rathore; Shantanu Sarin (ICCCNT, 2019)

Parallel High Average-Utility Itemset Mining Using Better Search Space Division Approach. - Krishan Kumar Sethi; Dharavath Ramesh; M. Sreenu (ICDCIT, 2019)

Correlated High Average-Utility Itemset Mining. - Krishan Kumar Sethi; Dharavath Ramesh (FICTA (1), 2020)

High average-utility itemset mining with multiple minimum utility threshold: A generalized approach. - Krishan Kumar Sethi; Dharavath Ramesh (Eng. Appl. Artif. Intell., 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)

A fast high average-utility itemset mining with efficient tighter upper bounds and novel list structure. - Krishan Kumar Sethi; Dharavath Ramesh (J. Supercomput., 2020)

A Spark-based Apriori algorithm with reduced shuffle overhead. - Shashi Raj; Dharavath Ramesh; Krishan Kumar Sethi (J. Supercomput., 2021)

A Spark-based high utility itemset mining with multiple external utilities. - Krishan Kumar Sethi; Dharavath Ramesh; Munesh Chandra Trivedi (Clust. Comput., 2022)