Krishan Kumar Sethi

11 papers Misc 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2022 J jnl
A Spark-based high utility itemset mining with multiple external utilities.
Clust. Comput.
Krishan Kumar Sethi, Dharavath Ramesh, Munesh Chandra Trivedi
2021 J jnl
A Spark-based Apriori algorithm with reduced shuffle overhead.
J. Supercomput.
Shashi Raj, Dharavath Ramesh, Krishan Kumar Sethi
2020 J jnl
A fast high average-utility itemset mining with efficient tighter upper bounds and novel list structure.
J. Supercomput.
Krishan Kumar Sethi, Dharavath Ramesh
2020 — conf
Correlated High Average-Utility Itemset Mining.
FICTA (1)
Krishan Kumar Sethi, Dharavath Ramesh
2020 J jnl
EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data.
Knowl. Inf. Syst.
Shashi Raj, Dharavath Ramesh, M. Sreenu, Krishan Kumar Sethi
2020 J jnl
High average-utility itemset mining with multiple minimum utility threshold: A generalized approach.
Eng. Appl. Artif. Intell.
Krishan Kumar Sethi, Dharavath Ramesh
2019 — conf
HUIM-SMP: High utility itemset mining based stock market analogy.
ICCCNT
Krishan Kumar Sethi, Dharavath Ramesh, Aman Rathore, Shantanu Sarin
2019 Misc conf
Parallel High Average-Utility Itemset Mining Using Better Search Space Division Approach.
ICDCIT
Krishan Kumar Sethi, Dharavath Ramesh, M. Sreenu
2017 J jnl
HFIM: a Spark-based hybrid frequent itemset mining algorithm for big data processing.
J. Supercomput.
Krishan Kumar Sethi, Dharavath Ramesh
2016 — conf
PPS: Parallel Pincer Search for Mining Frequent Itemsets Based on Spark.
SoCPaR
Krishan Kumar Sethi, Dharavath Ramesh, Samuel Nyakotey
2015 — conf
Delay Scheduling with Reduced Workload on JobTracker in Hadoop.
IBICA
Krishan Kumar Sethi, Dharavath Ramesh