Name
Abstract | ||
|---|---|---|
This paper presents the experimental analysis of data provided by UCI machine learning repository. Weka open source machine learning tool provided by Waikato University reveals the hidden fact behind the datasets on applying supervised mathematical proven algorithm, i.e., J48 and Naive Bayes algorithm. J48 is an extension of ID3 algorithm having additional features like continuous attribute value ranges and derivation of rules. The data sets were analyzed using two approaches, i.e., first taken with selected attributes and taken with all attributes. The performance of both the algorithm reveals the accuracy of algorithm and predicting the various reasons behind this increasing problem of cardiovascular diseases. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-981-10-3153-3_12 | PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON FRONTIERS IN INTELLIGENT COMPUTING: THEORY AND APPLICATIONS, FICTA 2016, VOL 1 |
Keywords | Field | DocType |
Cardiovascular disease,J48,Naive Bayes,Data mining,Weka | Data mining,Data set,Data analysis,Naive Bayes classifier,Computer science,C4.5 algorithm,ID3 algorithm | Conference |
Volume | ISSN | Citations |
515 | 2194-5357 | 1 |
PageRank | References | Authors |
0.43 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anurag Bhatt | 1 | 1 | 0.43 |
| Sanjay Kumar Dubey | 2 | 38 | 4.72 |
| Ashutosh Kumar Bhatt | 3 | 1 | 0.43 |
| Manish Joshi | 4 | 1 | 0.43 |