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A comparative analysis of association rule mining algorithms
A Saxena, V Rajpoot - IOP conference series: materials science …, 2021 - iopscience.iop.org
The field of data mining (DM) has grown rapidly in recent years. One of the most important
data mining techniques is association rule mining (ARM). It is a strategy used to identify …
data mining techniques is association rule mining (ARM). It is a strategy used to identify …
Association rule mining algorithm implementation for e-commerce in the retail sector
The growth of online trading platforms and the development of market technology have
forced businesses to take part in the analysis of client behavior. Therefore, this research …
forced businesses to take part in the analysis of client behavior. Therefore, this research …
Big data analytics for market prediction via consumer insight
HK Soni, S Sharma - Big Data Analytics in Cognitive Social Media and …, 2021 - Springer
Big Data is the soul of today's market. The idea of scaling and enhancing any market to its
greater potential without considering Big Data is hooey. A prodigious number of data is …
greater potential without considering Big Data is hooey. A prodigious number of data is …
Applying business intelligence technology for equipment maintenance and repair plan of telecommunications services provider
S Tanphet, P Wanchai - 2018 20th International Conference on …, 2018 - ieeexplore.ieee.org
The purpose of this study was to apply business intelligence (BI) technology for planning of
equipment maintenance and repair. Multidimensional data model was designed as a star …
equipment maintenance and repair. Multidimensional data model was designed as a star …
Discernment of potential buyers based on purchasing behaviour via machine learning techniques
S Sharma, HK Soni - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Artificial Intelligence (AI) is a fascinating technology that will rule the roost on various
dimensions of life in time to come. Artificial Intelligence capacitates the machines to simulate …
dimensions of life in time to come. Artificial Intelligence capacitates the machines to simulate …
Issues and research challenges in sequential pattern mining
S Nagori, HK Soni - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
The Mining of data is the way to recognize the substantial data from huge databases.
Sequential Pattern Mining (SPM), is one of the important aspect of data mining. The SPM is …
Sequential Pattern Mining (SPM), is one of the important aspect of data mining. The SPM is …
[PDF][PDF] Two Novel Pioneer Objectives of Association Rule Mining for high and low correlation of 2-varibales and 3-variables
Association rule generation is a significant research area of data mining, which find out the
relation between the set of items. Significant association rule mainly based on two objectives …
relation between the set of items. Significant association rule mainly based on two objectives …
[PDF][PDF] An empirical algorithm for high and low correlative association rule mining
Support and confidence based Association rules mining algorithms have certain problems.
Although other metrics like interest factor, comprehensibility, lift, correlation etc. are available …
Although other metrics like interest factor, comprehensibility, lift, correlation etc. are available …
[PDF][PDF] Remedial Solutions to Improve the Efficiency of Knowledge Based Systems
HK Soni - 2019 - researchgate.net
Accepted: 11/Jun/2019, Published: 30/Jun/2019 Abstract-A learning base is an effectively
available information stockpiling center that contains data about a specific item …
available information stockpiling center that contains data about a specific item …