DATA MINING & GENE ANALYSIS TO IDENTIFY DENGUE – ARBOVIRUS TO DETECT DISEASE

April 2017
Vol-3, Issue-2
Paper ID: 5022
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Data Mining Raw Data Information Knowledge Discovery Prediction Description Medical Analysis Dengue.
Abstract
Data Mining is focused on deriving knowledge from multiple data formats using intelligent analytics techniques. Data mining is a field having various techniques that converts the raw data into useful information in various research fields. There are two primary goals for data mining prediction and description. Prediction involves fields or variables in the data sets to predict unknown or future values of other diseases possibilities. On the other hand description involves finding of pattern describing the data that can be present in knowledge base provided for disease prediction. We can predict diseases like hepatitis, Lung cancer liver disorder, breast cancer or heart diseases, diabetes etc, it helps in finding the patterns to decide future trends in medical field. We can use in finding the knowledge and prediction, detection of Dengue as well.

Author Information

# Name Institute / Affiliation
1 Kaveri Dave Kalol Institute of Technology
2 Prof. Shilpa Serasiya Kalol Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
Dave, Kaveri & Serasiya, Prof. Shilpa (2017). DATA MINING & GENE ANALYSIS TO IDENTIFY DENGUE – ARBOVIRUS TO DETECT DISEASE. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 5536-5547.
MLA Style
Dave, Kaveri, and Prof. Shilpa Serasiya. "DATA MINING & GENE ANALYSIS TO IDENTIFY DENGUE – ARBOVIRUS TO DETECT DISEASE." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 5536-5547.
IEEE Style
Kaveri Dave and Prof. Shilpa Serasiya, "DATA MINING & GENE ANALYSIS TO IDENTIFY DENGUE – ARBOVIRUS TO DETECT DISEASE," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 5536-5547, 2017.
Vancouver Style
Dave Kaveri, Serasiya Prof. Shilpa. DATA MINING & GENE ANALYSIS TO IDENTIFY DENGUE – ARBOVIRUS TO DETECT DISEASE. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):5536-5547.
Harvard Style
Dave, Kaveri & Serasiya, Prof. Shilpa (2017) 'DATA MINING & GENE ANALYSIS TO IDENTIFY DENGUE – ARBOVIRUS TO DETECT DISEASE', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 5536-5547.
Chicago Style
Dave, Kaveri and Prof. Shilpa Serasiya. "DATA MINING & GENE ANALYSIS TO IDENTIFY DENGUE – ARBOVIRUS TO DETECT DISEASE." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 5536-5547.
Turabian Style
Dave, Kaveri and Prof. Shilpa Serasiya. "DATA MINING & GENE ANALYSIS TO IDENTIFY DENGUE – ARBOVIRUS TO DETECT DISEASE." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 5536-5547.

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