Open AccessComparative analysis on job prediction of students based on resume using data mining techniques
Author(s) -
T. Ravi Kumar,
P Yasaswini,
G. Mohammad Rafi,
Dhulipalla Vijay Krishna
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.7.12236
Subject(s) - subject (documents) , citation , computer science , state (computer science) , information retrieval , data science , artificial intelligence , natural language processing , library science , algorithm
The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work. The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical refer-ences); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first person.