K Gnanesh - Computer operator at meeseva - Tirupati

K Gnanesh
Keep Calm
Tirupati, Andhra Pradesh, India
DBMS General Knowledge Cricket HTML
SVEC-Sree Vidyanikethan Engineering College

About K Gnanesh

K Gnanesh works as Computer operator at meeseva and is based in Tirupati, India. K studied Bachelor of Engineering or Technology (IT-Information Technology) at Sree Vidyanikethan Engineering College (2011-2016). On Youth4work, K has taken skill tests in DBMS (rank 114 of 33,970, top 1%), General Knowledge (rank 7,013 of 169,964, top 5%) and Cricket (rank 6,632 of 117,054, top 6%). K also lists talents in English Language and Core Java.

Talents

Core Java

... among ... users in Tirupati

…

among … users worldwide

8.44

percentile among worldwide users
DBMS

... among ... users in Tirupati

114

among 33970 users worldwide

88.61

percentile among worldwide users
HTML

... among ... users in Tirupati

14055

among 136035 users worldwide

39.22

percentile among worldwide users
C Language

... among ... users in Tirupati

28942

among 193364 users worldwide

25.39

percentile among worldwide users

Complete Talent Profile »

Professional Path

Computer operator

meeseva Part Time

Dec-2015 To present 10 years 9 months

All the works related to Revenue, RTA, Agriculture is processed in meeseva by myself.
nothing

» 1 Project

Enhancing Text Mining Results using Clustering and Classification Algorithms

Student at SVEC-Sree Vidyanikethan Engineering College

Jan-2016 to Mar-2016

Many text documents contain links among them, which can also be treated as attributes. Such links contain a lot of useful information for mining purposes, and these links are called side information. Such side-information may be of different kinds, such as document provenance information, the links in the document and web logs. Incorporating side information into mining process can improve quality of representation but, it can add noise to the mining process also. Therefore an efficient way is needed to improve the mining process to maximize the advantage of using side-information. An algorithm is designed which combines classical partitioning algorithms with probabilistic models in order to create an effective clustering approach. The algorithm, COntent and Auxilary attribute based TExtcluStering (COATES) is used for text clustering with side-information. There is a scope to extend the text mining approach with the classification algorithm called (COLT).

Qualifications

Sree Vidyanikethan Engineering College

Bachelor of Engineering or Technology Information Technology

2011-2016

My Story

myself Gnanesh from srikalahasti, Andhrapradesh. I had completed my B.Tech(I.T.) graduation from Sree Vidyanikethan Engineering college. I have 6 months of experience as Computer operator in Meeseva, Srikalahasti. i am only son of my parents. my father owns a business of Net cafe at srikalahasti and my mom is housewife. thi is about myself.

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