Analysis & design of data farming algorithm for cardiac patient data

Conference paper


Shahnawaz, M., Saxena, K. and Pandey, H. 2018. Analysis & design of data farming algorithm for cardiac patient data. 2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence). India 11 - 12 Jan 2018 Institute of Electrical and Electronics Engineers (IEEE). pp. 114-118 https://doi.org/10.1109/CONFLUENCE.2018.8442527
TypeConference paper
TitleAnalysis & design of data farming algorithm for cardiac patient data
AuthorsShahnawaz, M., Saxena, K. and Pandey, H.
Abstract

Data farming is a process to grow data by applying various statistical, predictions, machine learning and data mining approach on the available data. As data collection cost is high so many times data mining projects use existing data collected for various other purposes, such as daily collected data to process and data required for monitoring & control. Sometimes, the dataset available might be large or wide data set and sufficient for extraction of knowledge but sometimes the data set might be narrow and insufficient to extract meaningful knowledge or the data may not even exist. Mining from wide datasets has received wide attention in the available literature. Many models and algorithms for data reduction & feature selection have been developed for wide datasets. Determining or extracting knowledge from a narrow data set (partial availability of data) or in the absence of an existing data set has not been sufficiently addressed in the literature. In this paper we propose an algorithm for data farming, which farm sufficient data from the available little seed data. Classification accuracy of J48 classification for farmed data is achieved better than classification results for the seed data, which proves that the proposed data farming algorithm is effective.

Research GroupArtificial Intelligence group
Conference2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
Page range114-118
ISBN
Hardcover9781538617199
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Publication dates
Online23 Aug 2018
Print12 Jan 2018
Publication process dates
Deposited30 Aug 2018
Accepted20 Dec 2017
Output statusPublished
Accepted author manuscript
Copyright Statement

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/CONFLUENCE.2018.8442527
LanguageEnglish
Book title2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
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