A parallel approach for high utility-based frequent pattern mining in a big data environment

This publication has 21 references indexed in Scilit:

• A review on big data based parallel and distributed approaches of pattern mining
  Journal of King Saud University Computer and Information Sciences, 2022
• EFIM: a fast and memory efficient algorithm for high-utility itemset mining
  Knowledge and Information Systems, 2016
• Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets
  IEEE Transactions on Knowledge and Data Engineering, 2014
• Mining high utility itemsets without candidate generation
  2012
• Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases
  IEEE Transactions on Knowledge and Data Engineering, 2012
• A Novel Algorithm for Mining High Utility Itemsets
  2009
• Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases
  IEEE Transactions on Knowledge and Data Engineering, 2009
• Mining itemset utilities from transaction databases
  Data & Knowledge Engineering, 2006
• A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
  2005
• A Foundational Approach to Mining Itemset Utilities from Databases
  2004