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High-Utility Itemset Mining with Effective Pruning Strategies

https://doi.org/10.1145/3363571
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Data mining in distributed environment: a survey
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A survey of incremental high‐utility itemset mining
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A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
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Direct Candidates Generation: A Novel Algorithm for Discovering Complete Share-Frequent Itemsets
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Mining High Utility Quantitative Association Rules
inferredcites →https://doi.org/10.1007/978-3-642-01307-2_76openalex-snapshot
An Efficient Candidate Pruning Technique for High Utility Pattern Mining
inferredcites →https://doi.org/10.1007/s10115-012-0483-zopenalex-snapshot
Efficient algorithms for discovering high utility user behavior patterns in mobile commerce environments
inferredcites →https://doi.org/10.1007/s10115-012-0492-yopenalex-snapshot
An efficient projection-based indexing approach for mining high utility itemsets
inferredcites →https://doi.org/10.1007/s10115-016-0989-xopenalex-snapshot
Indexed list-based high utility pattern mining with utility upper-bound reduction and pattern combination techniques
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A fast algorithm for mining high average-utility itemsets
inferredcites →https://doi.org/10.1016/j.amc.2009.05.066openalex-snapshot
An efficient algorithm for mining high utility itemsets with negative item values in large databases
inferredcites →https://doi.org/10.1016/j.engappai.2018.10.010openalex-snapshot
Mining of skyline patterns by considering both frequent and utility constraints
inferredcites →https://doi.org/10.1016/j.eswa.2010.12.082openalex-snapshot
An effective tree structure for mining high utility itemsets
inferredcites →https://doi.org/10.1016/j.eswa.2012.08.065openalex-snapshot
A new method for mining Frequent Weighted Itemsets based on WIT-trees
inferredcites →https://doi.org/10.1016/j.eswa.2013.11.038openalex-snapshot
High utility itemset mining with techniques for reducing overestimated utilities and pruning candidates
inferredcites →https://doi.org/10.1016/j.eswa.2014.11.001openalex-snapshot
Pruning strategies for mining high utility itemsets
inferredcites →https://doi.org/10.1016/j.eswa.2016.03.001openalex-snapshot
High utility pattern mining over data streams with sliding window technique
inferredcites →https://doi.org/10.1016/j.knosys.2013.10.011openalex-snapshot
Mining maximal frequent patterns by considering weight conditions over data streams
inferredcites →https://doi.org/10.1016/j.knosys.2016.10.027openalex-snapshot
An ACO-based approach to mine high-utility itemsets
inferredcites →https://doi.org/10.1016/j.knosys.2017.03.016openalex-snapshot
An efficient algorithm for mining high utility patterns from incremental databases with one database scan
inferredcites →https://doi.org/10.1016/j.knosys.2017.12.029openalex-snapshot
Damped window based high average utility pattern mining over data streams
inferredcites →https://doi.org/10.1023/a:1022419032620openalex-snapshot
Extracting Share Frequent Itemsets with Infrequent Subsets
inferredcites →https://doi.org/10.1109/69.553155openalex-snapshot
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International Conference on Very Large Data Bases
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Mining high utility itemsets
inferredcites →https://doi.org/10.1109/icdm.2008.107openalex-snapshot
Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams
inferredcites →https://doi.org/10.1109/tie.2017.2682782openalex-snapshot
Efficient High Utility Pattern Mining for Establishing Manufacturing Plans With Sliding Window Control
inferredcites →https://doi.org/10.1109/tkde.2009.46openalex-snapshot
Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases
inferredcites →https://doi.org/10.1109/tkde.2012.59openalex-snapshot
Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases
inferredcites →https://doi.org/10.1145/2396761.2396773openalex-snapshot
Mining high utility itemsets without candidate generation
inferredcites →https://doi.org/10.1145/342009.335372openalex-snapshot
Mining frequent patterns without candidate generation
inferredcites →https://doi.org/10.1186/s12918-017-0475-4openalex-snapshot
Mining significant high utility gene regulation sequential patterns
inferredcites →https://doi.org/10.3233/ida-160811openalex-snapshot
Fast algorithm for high utility pattern mining with the sum of item quantities
inferredcites →https://doi.org/10.4018/ijdwm.2014010101openalex-snapshot
BAHUI

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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High Median Utility Itemset Mining for recovering streaming window transaction using novel Modified Heap‐based Optimization
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Maintenance of Prelarge High Average-Utility Patterns in Incremental Databases
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Mining Frequency-Utility Patterns from a Big Data Environment
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A Hash-Based Nature-Inspired Algorithm for High-Utility Itemset Mining
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Multi-group discrete symbiotic organisms search applied in traveling salesman problems
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Linguistic frequent pattern mining using a compressed structure
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Dynamic maintenance model for high average-utility pattern mining with deletion operation
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UGMINE: utility-based graph mining
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A framework for proposing a liquid stock portfolio using frequent itemset mining from time-series data
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High utility itemsets mining from transactional databases: a survey
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An efficient PSO-based evolutionary model for closed high-utility itemset mining
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Recommendation system for frequent item sets using multi-objective chaotic optimization with convolutional BiLSTM model
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Provably secure authentication key exchange scheme using fog nodes in vehicular ad hoc networks
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A Metaheuristic Perspective on Extracting Numeric Association Rules: Current Works, Applications, and Recommendations
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A Survey on Association Rule Mining for Enterprise Architecture Model Discovery
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RETRACTED ARTICLE: An enhanced pairing-based authentication scheme for smart grid communications
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Simplified Phasmatodea population evolution algorithm for optimization
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A parallel approach for high utility-based frequent pattern mining in a big data environment
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Efficient sampling policy to accelerate high utility pattern mining at given accuracy level
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Fast mining local high-utility itemsets
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EAHUIM: Enhanced Absolute High Utility Itemset Miner for Big Data
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Mining top-rank-k frequent weighted itemsets using WN-list structures and an early pruning strategy
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FTKEH: Mining of top-K high-utility itemsets based on effective matrix quadrant focused pruning strategy and softmax function based threshold raising
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Extended High-Utility Pattern Mining: An Answer Set Programming-Based Framework and Applications
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Improved adaptive-phase fuzzy high utility pattern mining algorithm based on tree-list structure for intelligent decision systems
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An Authenticated Key Exchange Protocol for Multi-Server Architecture in 5G Networks
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Efficient Approach for Damped Window-Based High Utility Pattern Mining With List Structure
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Incrementally Updating the Discovered High Average-Utility Patterns With the Pre-Large Concept
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A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases
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Application of Quantum Genetic Optimization of LVQ Neural Network in Smart City Traffic Network Prediction
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Efficient Utility Tree‐Based Algorithm to Mine High Utility Patterns Having Strong Correlation
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Ignoring Internal Utilities in High-Utility Itemset Mining
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