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Priti Chandra
Observed name:
Chandra, Priti
Institutions:
Defence Research and Development Organisation,
Advanced Systems Laboratory
Observed institutions:
Defence Research and Development Organisation,
Advanced Systems Laboratory
OpenAlex ID:
A5112867221
Classification of Heart Disease Using K- Nearest Neighbor and Genetic Algorithm
2013
·
M. Akhil jabbar
, B.L. Deekshatulu
, et al.
·
Procedia Technology
·
402
PDF
Heart Disease Prediction System using Associative Classification and Genetic Algorithm
2013
·
Jabbar, M. Akhil
, Deekshatulu, B L
, et al.
·
arXiv (Cornell University)
·
85
PDF
Classification of Heart Disease using Artificial Neural Network and Feature Subset Selection
2013
·
M. Akhil jabbar
, B. L. Deekshatulu
, et al.
·
Global Journal of Computer Science and Technology
·
82
Prediction of Heart Disease Using Random Forest and Feature Subset Selection
2015
·
M. A. Jabbar
, B. L. Deekshatulu
, et al.
·
Advances in intelligent systems and computing
·
69
Prediction of risk score for heart disease using associative classification and hybrid feature subset selection
2012
·
M. Akhil jabbar
, Priti Chandra
, et al.
·
International Conference on Intelligent Systems Design and Applications (ISDA)
·
67
Computational intelligence technique for early diagnosis of heart disease
2015
·
M. A. Jabbar
, B. L. Deekshatulu
, et al.
·
IEEE International Conference on Engineering and Technology
·
44
An Evolutionary Algorithm for Heart Disease Prediction
2012
·
M. A. Jabbar
, B. L. Deekshatulu
, et al.
·
Communications in computer and information science
·
31
Knowledge Discovery Using Associative Classification for Heart Disease Prediction
2012
·
M. A. Jabbar
, B. L. Deekshatulu
, et al.
·
Advances in intelligent systems and computing
·
28
Knowledge Discovery From Mining Association Rules for Heart Disease Prediction
2012
·
M. A. Jabbar
, Priti Chandra
, et al.
·
22
An Ensemble Classifier Characterized by Genetic Algorithm with Decision Tree for the Prophecy of Heart Disease
2019
·
K. Chandra Shekar
, Priti Chandra
, et al.
·
Lecture notes in networks and systems
·
17
Graph Based Approach for Heart Disease Prediction
2012
·
M. A. Jabbar
, B. L. Deekshatulu
, et al.
·
Lecture notes in electrical engineering
·
15
Improved Algorithm for Frequent Itemsets Mining Based on Apriori and FP-Tree
2013
·
Sujatha Dandu
, B. L. Deekshatulu
, et al.
·
Global Journal of Computer Science and Technology
·
12
Fault Diagnostics in industrial application domains using data mining and artificial intelligence technologies and frameworks
2014
·
K Chandra Shekar
, Priti Chandra
, et al.
·
IEEE International Advance Computing Conference
·
10
RETRACTED ARTICLE: A framework for automatic detection of heart diseases using dynamic deep neural activation functions
2020
·
K. Chandra Shekar
, Priti Chandra
, et al.
·
Journal of Ambient Intelligence and Humanized Computing
·
7
A Novel Algorithm for Utility-Frequent Itemset Mining in Market Basket Analysis
2015
·
M. A. Jabbar
, B. L. Deekshatulu
, et al.
·
Advances in intelligent systems and computing
·
6
Hidden Decision Tree Based Pattern Evaluation Using Regression Models for Health Diagnosis
2017
·
K. Chandra Shekar
, K. Venugopala Rao
, et al.
·
Smart innovation, systems and technologies
·
3
Relative-Feature Learning through Genetic-Based Algorithm
2018
·
K. Chandra Shekar
, Priti Chandra
, et al.
·
Advances in intelligent systems and computing
·
1
Retraction Note to: A framework for automatic detection of heart diseases using dynamic deep neural activation functions
2022
·
K. Chandra Shekar
, Priti Chandra
, et al.
·
Journal of Ambient Intelligence and Humanized Computing
PDF
Transition in Time Series Data Mining on Correlated Items
2012
·
D. Sujatha
, Priti Chandra
, et al.
·
International Journal of Computer Applications
PDF
Data Partitioning and Bit Vector Approach for Weighted Frequent Item Set Mining
2012
·
M. A. Ja bbar
, B. L. D eekshatulu
, et al.
·
International Journal of Computer Theory and Engineering
Content Based Retrieval of Emotions in Face Images.
2004
·
J. Nileema
, Priti Chandra
, et al.
·
Indian Conference on Computer Vision, Graphics and Image Processing
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Works count:
21
Citation count:
901
H-index:
12
I10-index:
13
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