Search Results - "Sethi, Krishan Kumar"

High average-utility itemset mining with multiple minimum utility threshold: A generalized approach by Sethi, Krishan Kumar, Ramesh, Dharavath

“…High Average-Utility Itemset (HAUI) mining is an emerging pattern mining technique to extract meaningful patterns from a transaction dataset. In the past,…”
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A Spark-based Apriori algorithm with reduced shuffle overhead by Raj, Shashi, Ramesh, Dharavath, Sethi, Krishan Kumar

“…Mining frequent itemset is considered as a core activity to find association rules from transactional datasets. Among the different well-known approaches to…”
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HFIM: a Spark-based hybrid frequent itemset mining algorithm for big data processing by Sethi, Krishan Kumar, Ramesh, Dharavath

“…Frequent itemset mining is one of the data mining techniques applied to discover frequent patterns, used in prediction, association rule mining,…”
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A fast high average-utility itemset mining with efficient tighter upper bounds and novel list structure by Sethi, Krishan Kumar, Ramesh, Dharavath

“…High-utility itemset mining is a prominent data-mining technique where the profit or weight of itemsets plays a crucial role in defining meaningful patterns…”
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EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data by Raj, Shashi, Ramesh, Dharavath, Sreenu, M., Sethi, Krishan Kumar

“…Frequent itemset mining is considered a popular tool to discover knowledge from transactional datasets. It also serves as the basis for association rule…”
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A Spark-based high utility itemset mining with multiple external utilities by Sethi, Krishan Kumar, Ramesh, Dharavath, Trivedi, Munesh Chandra

“…High utility itemset (HUI) mining is a powerful data mining technique to discover profitable patterns. The utility of an item is computed by using two measures…”
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HUIM-SMP: High utility itemset mining based stock market analogy by Sethi, Krishan Kumar, Ramesh, Dharavath, Rathore, Aman, Sarin, Shantanu

“…Stock market prediction is a method of predicting the futuristic value of a company stock. The predictive analysis can be performed using fundamental,…”
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