Project Data

A.ARTHI

ac1fxm@r.postjobfree.com

Mobile: +91-960*******

OBJECTIVE

To work in a challenging environment demanding all my skills and efforts to explore and adapt myself in different fields, and realize my potential and contribute to the development of organization with impressive performance. EDUCATIONAL QUALIFICATION

Course Institution Board Year of

Passing

Percentage/CGPA

B.TECH

(IT)

University College Of

Engineering

(BIT campus)

Trichy

University 2017 6.9

12th

(Computer

Science)

Laurel Higher

Secondary School,

Pallikondan,

Pattukottai.

State Board 2013 92.33%

10th St. Joseph’s Girls

Higher Secondary

School,

Mannargudi,Thiruvarur.

State Board 2011 88.4%

FIELD OF INTEREST

C

C++

Core Java

ACHEIVEMENTS

Won 2nd prize in college level paper presentation and 3 rd

prize in Technical

Symposium.

Won prizes in School and College level for Extra Curricular Activities (Basket ball). Participated in workshops on

Web Application Development

Python Language

Data Analytics Tools

PROJECT DETAILS

Title:”Data Mining-Feature subset Selection and Classification of Microarray Data”. Description: Bone Marrow Cancer is one of the critical diseasesin human beings.Even the physician could not able to diagnosis the disease accurately.Therefore Microarraybased gene expression profiling is efficiently used in cancer diagnosis and treatment .This project classifies the gene expression data collected from different samples into Malignant and Benign.Here Acute Lymphocytic Leukemia(ALL) and Acute Myeloid Leukemia

(AML)microarray datasets.Initially the dataset with all gene expression considered for classification and the classification accuracy is obtained based on the classifiers such as Support Vector Machine(SVM),K-NearestNeighbor(KNN) and NaiveBayes Classification.From the result it is inferred, Hence, in order to overcome the curse of dimensionality problem, this project utilizes the statisticaland meta heuristics based methods namely Analysis of Variance (ANOVA) and firefly algorithm respectively. Then the experiments are conducted in ‘R studio’ with two different datasets namely ALL .From the experimental result, the performance of the classifier is improved after feature selection. Naive Bayes classifier yields high classification accuracy for both ANOVA and firefly algorithm.

PERSONAL DETAILS

D.O.B : 12.05.1995

Father’s Name Mr. Annadurai

Mother’s Name : Mrs. Prema

Sex : Female

Languages Known : Tamil, English.

Permanent Address : 1/188,pettai street,

Ullikkottai,

Thiruvarur-(Dt)

DECLARATION

I hereby declare that all the information provided above is true to the best of my knowledge.

Date :

Place : ARTHI A

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