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A COMPARATIVE SURVEY ON HUMAN MOOD CLASSIFICATIONAND MUSIC RECOMMENDATION SYSTEM BASED ON VARIOUS CLASSIFICATION ALGORITHMS
Khyati Acharya*, Rohan Prajapati

Published in: International Journal of Scientific Review and Research in Engineering and Technology
Volume- 2, Issue-1, pp.49-57, Dec 2016
DPI :-> 16.10069.IJSRRET.2016.V2I1.4957.1359



Abstract
Data mining is the key field which is used in the database management system. In the process of the data mining the relationships has been extracted between different attributes or features available in the songs dataset. Music Information Retrieval (MIR) is a rapidly growing field of research with many applications in the real world. Today there has been an increase in the volume of work in the field of genre of music. This paper provides a comparative survey of Music recommendation system (Music Crawler). Human mood based recommendation play main role in data mining tasks that try to find interesting patterns from song databases, such as song listening sequences, classifiers, association rules, clusters and, many more of which the mining of association rules is one of the most popular techniques. Here in this paper various algorithms have been classified which are used for Songmining procedure. In the processing of classification different classifier based on rules, distances have been utilized and more. This paper contains information about song’s attributes or song’s key-featureswhich is already available in online song dataset. In this paper data classification approaches has been described that can be utilized for dataset classification. In this article we discuss a set of experiments in musical genre classification automatic. The experiments have also give information on the features derived from and auditory model have a similar performance with functionality based on Mel- Frequency Cepstral coefficients(MFCC). So, this study helps to generate human mood based recommendation system for Music classification.

Key-Words / Index Term
K-mean, KNN, Bayes Theorem, Association rule, TOPSIS, Music Information Retrieval (MIR), Genre Classification, MFCC, Fuzzy logic, Information retrieval, Clustering.

How to cite this article
Khyati Acharya*, Rohan Prajapati , “A COMPARATIVE SURVEY ON HUMAN MOOD CLASSIFICATIONAND MUSIC RECOMMENDATION SYSTEM BASED ON VARIOUS CLASSIFICATION ALGORITHMS”, International Journal of Scientific Review and Research in Engineering and Technology, 2, Issue-1, pp.49-57, Dec 2016. DPI:16.10069.IJSRRET.V2.I1.1359