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Project Web

Location:
Bengaluru, Karnataka, India
Posted:
December 06, 2017

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RESUME

M.VINODHINI,

D/o, M.Mahendran,

Email: ac3lzf@r.postjobfree.com,

Mobile: +91-956*******

Puliakulam,

Coimbatore-45.

.

OBJECTIVE

Intend to build a career with leading corporate of hi-tech environment with committed & dedicated people, which will help me to explore myself fully and realize my potential. Willing to work as a key player in challenging & creative environment.

TECHNICAL SKILLS

Programming Language : HTML,HTML5,CSS,CSS3,BOOTSTRAP,JAVASCRIPT,JQUERY,PHP,AJAX, PHOTOSHOP.

Databases : MYSQL.

ACADEMIC QUALIFICATION

COURSE

INSTITUTION

BOARD/UNIVERSITY

AGGREGATE

UG

TEJAASHAKTHI INSTITUTE OF TECHNOLOGY

ANNA UNIVERSITY

6.7%

HSC

GOVERNMENT POLYTECHNIC COLLEGE FOR WOMEN

DOTE UNIVERSITY

70%

S.S.L.C

PRESENTATION CONVENT HIGHER SECONDARY SCHOOL

STATE BOARD

83%

FIELD OF INTEREST

WEB DESIGNING

PHP DEVELOPEMENT

WEB DEVELOPEMENT

ACHIEVEMENTS

Presented paper in various colleges on Topics like Clandestine orientation prevailing security enabling.

Ethernet topology discovery without network assistance.

Attended workshop based on network & Security.

MINI PROJECT DONE

Title:

Inbuilt process on online shopping.

Phishing.

Image steganography.

PROJECT DONE

DOMAIN : WEB MINING

TITLE : MINING AND ELIMINATING USER AWARE

RARE INFORMATION BROWSED DOCUMENS.

PROJECT DETAILS : Document streams are created and distributed in various forms on the Internet, such as emails, news streams, chatting messages, micro-blog articles, web forum discussions, research paper archives. The contents of the documents concentrate on some specific topics, which shows users characteristics in real life and offline social events. To mine these type of information, a lot of researches of text mining focused on extracting topics from document streams and document collections through various probabilistic topic models. The goal of the project is to gain practical experience with a particular web mining task. The task includes mining the content of document on web, categorizing the content based on topics, finding correlation among topics, sequential relation between contents, and behaviour of users when publishing the documents on web. Web mining is the process of discovering high quality patterns from web. Mining rare patterns in published document on the Internet is a challenging problem. It has wide potential application scenarios, such as real-time monitoring on abnormal behaviours of Internet users and it formulates a new kind of complex event patterns based on document topics.

PERSONAL DETAILS

Father’s name : M.Mahendran.

Date of birth : 02-05-1995

Languages known : English, Tamil.

Marital Status : Un-Married.

DECLARATION

I hereby declare that the above-mentioned particulars are true and authentic to the best of my knowledge.

DATE : Truly,

PLACE: Coimbatore Vinodhini.M



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