[HTML][HTML] A review on big data based parallel and distributed approaches of pattern mining
Pattern mining is a fundamental technique of data mining to discover interesting correlations
in the data set. There are several variations of pattern mining, such as frequent itemset …
in the data set. There are several variations of pattern mining, such as frequent itemset …
Mining high utility itemsets in big data
In recent years, extensive studies have been conducted on high utility itemsets (HUI) mining
with wide applications. However, most of them assume that data are stored in centralized …
with wide applications. However, most of them assume that data are stored in centralized …
Efficient chain structure for high-utility sequential pattern mining
JCW Lin, Y Li, P Fournier-Viger, Y Djenouri… - IEEE Access, 2020 - ieeexplore.ieee.org
High-utility sequential pattern mining (HUSPM) is an emerging topic in data mining, which
considers both utility and sequence factors to derive the set of high-utility sequential patterns …
considers both utility and sequence factors to derive the set of high-utility sequential patterns …
Discovery of interesting itemsets for web service composition using hybrid genetic algorithm
S Kannimuthu, DG Chakravarthy - Neural Processing Letters, 2022 - Springer
Extraction of interesting patterns from large databases have placed great impact on many
applications for instance market basket analysis, web service mining, bio-informatics and …
applications for instance market basket analysis, web service mining, bio-informatics and …
A utility-based distributed pattern mining algorithm with reduced shuffle overhead
With the arrival of the current digital era and the advancement of information transmission
technologies, there has been an unprecedented rise in data. Efficient extraction of useful …
technologies, there has been an unprecedented rise in data. Efficient extraction of useful …
Mining high utility itemsets using Genetic Algorithm Based-Particle Swarm Optimization (GA-PSO)
K Subramanian, P Kandhasamy - Journal of Intelligent & …, 2023 - content.iospress.com
Mining high utility itemsets (HUIs) from transaction databases is one of the current research
areas in the data mining field. HUI mining finds itemsets whose utility meets a predefined …
areas in the data mining field. HUI mining finds itemsets whose utility meets a predefined …
Mining high-utility sequential patterns from big datasets
JCW Lin, Y Li, P Fournier-Viger… - … conference on big …, 2019 - ieeexplore.ieee.org
High-Utility Sequential Pattern Mining (HUSPM) has become an emerging issue in recent
decades since it reveals more information such as the utility and sequence factors for …
decades since it reveals more information such as the utility and sequence factors for …
A fuzzy rough set-based horse herd optimization algorithm for map reduce framework for customer behavior data
D Sudha, M Krishnamurthy - Knowledge and Information Systems, 2024 - Springer
A large number of association rules often minimizes the reliability of data mining results;
hence, a dimensionality reduction technique is crucial for data analysis. When analyzing …
hence, a dimensionality reduction technique is crucial for data analysis. When analyzing …
[PDF][PDF] A novel technique-absolute high utility itemset mining (ahuim) algorithm for big data
Utility itemset mining has manifested as a significant method for mining the data, which finds
the itemsets grounded on the utility factors. The utility is defined in terms of quantity and …
the itemsets grounded on the utility factors. The utility is defined in terms of quantity and …
Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture
Top-k high utility itemset (abbr. Top-k HUI) mining aims at efficiently mining k itemsets
having the highest utility without setting the minimum utility thresholds. Although some …
having the highest utility without setting the minimum utility thresholds. Although some …