Efficient data mining method to predict the risk of heart diseases through frequent itemsets

M Ilayaraja, T Meyyappan - Procedia Computer Science, 2015 - Elsevier
Data mining techniques are used in the field of medicine for various purposes. Mining
association rule is one of the interesting topics in data mining which is used to generate …

Evaluating frequent-set mining approaches in machine-learning problems with several attributes: a case study in healthcare

S Kaushik, A Choudhury, N Dasgupta… - Machine Learning and …, 2018 - Springer
Often datasets may involve thousands of attributes, and it is important to discover relevant
features for machine-learning (ML) algorithms. Here, approaches that reduce or select …

[PDF][PDF] Application of modified artificial fish swarm algorithm for optimizing association rule mining

T Bharathi, P Krishnakumari - Indian Journal …, 2014 - sciresol.s3.us-east-2.amazonaws …
Abstract We present a Modified Artificial Fish Swarm Algorithm (MFSA) which has many
benefits that includes higher convergence rate, flexibility, fault tolerance and high accuracy …

Sentiment Analysis for Multi-Attribute Data in OSNs Using Hybrid Approach

R Thallapalli, G Narasimha, PP Kumar… - IOP Conference …, 2020 - iopscience.iop.org
Increasing popularity of social networks like LinkedIn, MySpace and other networks in
present days. Communication is also increased in between users present in social networks …

Multi Labeled Multi-Expressions to Explore Descriptive Documents

R Thallapalli, G Narasimha, SN Korra… - IOP Conference …, 2020 - iopscience.iop.org
Expressive Clustering contains ordinarily filtering through information occasions into get-
togethers and making a practical plan for each get-together. The depiction should inspire a …

[PDF][PDF] Heart Disease Prediction and Detection Using Association Rule Mining Techniques

TS Reddy - Medicon Microbiology, 2022 - themedicon.com
Data science mining methods are utilized in the field of medication for different purposes.
Mining affiliation rule is one of the intriguing points in information mining which is utilized to …

[PDF][PDF] Optimized Bean Identification over Coffee Bean Related Images Using CNN

YN Rao, K Keerthi, M Suresh - kalaharijournals.com
Reviewing the shade of green Coffee bean beans is a basic technique in depicting their
quality and market cost. This examination is routinely finished by visual appraisal or utilizing …

[PDF][PDF] Evaluating Frequent-set Mining Approaches in Machine-Learning Problems with Several Attributes: A Case Study in Healthcare

LA Pickett, V Dutt - researchgate.net
Often datasets may involve thousands of attributes, and it is important to discover relevant
features for machine-learning (ML) algorithms. Here, approaches that reduce or select …

[引用][C] Sentiment Analysis for Multi-Attribute Data in OSNs Using Hybrid Approach

DGN Ravikumar Thallapalli, PP Kumar, K Srinivas…

[引用][C] Prediction of Heart Diseases Risk through Frequent Itemsets in Data Mining

T Kumaravel