EXPLORATORY DATA MINING OF SOME PLANT SPECIES AGAINST AEDES AEGYPTI

Authors

  • Rajmohan Devadass PG and Research Department of Zoology
  • Haldurai Lingaraj Kongunadu Arts and Science College, Coimbatore, Tamilnadu, India
  • Logankumar Kandhasamy Kongunadu Arts and Science College, Coimbatore, Tamilnadu, India

Keywords:

Data mining. Aedes aegypti, ppm, LC50, Prediction

Abstract

Biological databases contain a wide variety of data types, often with rich relational structure. On sequence multi-relational
data mining techniques frequently are applied to biological data. Extracts of the different plant species were evaluated for
the egg hatchability, larvicidal and pupicidal activity of mosquito, Aedes aegypti under the room temperature in the
laboratory. Dosage value as expressed in ppm was 10 to 400 for Aedes aegypti. A relationship was observed between the
plant extract doses and percentage mortality. The percentage of egg hatchability, larval and pupal mortality was found to be
increased with increase in the dosage. Based on the probit analysis, the LC50 value of egg, instars and pupae hence
assumed.

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Published

2014-08-29
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How to Cite

Rajmohan Devadass, Haldurai Lingaraj, and Logankumar Kandhasamy. “EXPLORATORY DATA MINING OF SOME PLANT SPECIES AGAINST AEDES AEGYPTI”. International Journal of Pharmaceutics and Drug Analysis, vol. 2, no. 8, Aug. 2014, pp. 624-8, https://ijpda.com/index.php/journal/article/view/95.

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Research Articles
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