Main Article Content

Abstract

Understanding character type can assist you with understanding preferences and the preferences of others. Character types are helpful for perceiving how individuals lead, impact, convey, work together, arrange business and oversee pressure. This proposed system is useful where we have information identified with individual behavior. This individual behavior data can be valuable for differentiating individual dependent on his character attributes. This behavior qualities will be then put away in database. Later when client enters his character attributes his character is analyzed in database and framework will recognize the character of client. This proposed system will utilize Naïve Bayes algorithm. The system is useful for association or organizations to recruit their employees by observing behavior of workers. It can also be used in different e-commerce business to distinguish the client behavior.

Article Details

How to Cite
[1]
Mr. Mandar S Joshi, Ms.Saniya F Fadnaik, Ms. Aishwarya S.Shetye, and Ms.Jyoti S.Nachankar, “AUTOMATED PERSONALITY CLASSIFICATION BASED ON DATA MINING TECHNIQUES”, IEJRD - International Multidisciplinary Journal, vol. 5, no. 5, p. 5, Jun. 2020.

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