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Classification and association rule mining technique for predicting chronic kidney disease
Background and objective: Chronic kidney disease (CKD) is one of the deadly diseases that
can affect a lot of vital organs in the human body such as heart, liver, and lungs. Many …
can affect a lot of vital organs in the human body such as heart, liver, and lungs. Many …
[PDF][PDF] Association rule mining: A survey
J Kaur, N Madan - International Journal of Hybrid Information Technology, 2015 - Citeseer
Association Rule Mining (ARM) has been the area of interest for many researchers for a long
time and continues to be the same. It is one of the important tasks of data mining. It aims at …
time and continues to be the same. It is one of the important tasks of data mining. It aims at …
A retrieval strategy for case-based reasoning using similarity and association knowledge
Retrieval is a key phase in case-based reasoning (CBR), since it lays the foundation for the
overall effectiveness of CBR systems. Its aim is to retrieve useful cases that can be used to …
overall effectiveness of CBR systems. Its aim is to retrieve useful cases that can be used to …
MRAR: mining multi-relation association rules
In this paper, we introduce a new class of association rules (ARs) named “Multi-Relation
Association Rules” which in contrast to primitive ARs (that are usually extracted from multi …
Association Rules” which in contrast to primitive ARs (that are usually extracted from multi …
Extracting user-centric knowledge on two different spaces: Concepts and records
The growing demand for eliciting useful knowledge from data calls for techniques that can
discover insights (in the form of patterns) that users need. Methodologies for describing …
discover insights (in the form of patterns) that users need. Methodologies for describing …
A new strategy for case-based reasoning retrieval using classification based on association
This paper proposes a novel strategy, Case-Based Reasoning Using Association Rules
(CBRAR) to improve the performance of the Similarity base Retrieval SBR, classed frequent …
(CBRAR) to improve the performance of the Similarity base Retrieval SBR, classed frequent …
[PDF][PDF] Association rule mining: An overview
N Sharma, CK Verma - International Journal of Computer Science …, 2014 - csjournals.com
Association Rule Mining (ARM) has been the area of interest for many researchers for a long
time and continues to be the same. It is one of the important tasks of data mining. It aims at …
time and continues to be the same. It is one of the important tasks of data mining. It aims at …
Mining association rules in seasonal transaction data
SK Ayu, I Surjandari… - 2018 5th International …, 2018 - ieeexplore.ieee.org
Nowadays global retail business faces new challenges due to changes in consumer buying
preferences, likewise in Indonesia that consequence increasing level of competition among …
preferences, likewise in Indonesia that consequence increasing level of competition among …
Enhancing Customer Relationship Management Using Fuzzy Association Rules and the Evolutionary Genetic Algorithm
A Abu-Al Dahab, RM Haggag… - International Journal of …, 2023 - search.proquest.com
Abstract The importance of Customer Relationship Management (CRM) has never been
higher. Thus, companies are forced to adopt new strategies to focus on customers, given the …
higher. Thus, companies are forced to adopt new strategies to focus on customers, given the …
[PDF][PDF] A novel algorithm for cross level frequent pattern mining in multidatasets
B Jayanthi, K Duraiswamy - International Journal of Computer …, 2012 - Citeseer
Frequent pattern mining has become one of the most popular data mining approaches for
the analysis of purchasing patterns. There are techniques such as Apriori and FP-Growth …
the analysis of purchasing patterns. There are techniques such as Apriori and FP-Growth …