Artificial Intelligence and Data Mining in Predictive Analytics Based on Service Evaluation Based on Academic Library Book Data

AUTHOR(S):

Hanan Mourad, Bharti Gawali, Vaishali Khaparde

TITLE

Artificial Intelligence and Data Mining in Predictive Analytics Based on Service Evaluation Based on Academic Library Book Data

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ABSTRACT

Due to the tremendous progress, we are witnessing today in the age of digital information, data mining technology has been widely used in libraries for its beneficial effect in the context of big data and its role in libraries, and artificial intelligence (AI) is considered an extension of human intelligence and has captured various sectors. Technological advances can stimulate many human capabilities such as Arithmetic, reading, speaking, understanding, remembering, judging and interactive learning How to efficiently extract big data, extract features and provide users with highquality personalized service are important issues to be resolved in the current application of university library big data. We discuss the algorithm used for classification and its application to data mining. Classification is basically a technique for classifying data into separate categories based on constraints. The C4.5 genetic algorithm, the Naive Bayes algorithm, and others are examples of classification algorithms.

KEYWORDS

AI , Genetic algorithm , Naive Bayes algorithm, Regression

Cite this paper

Hanan Mourad, Bharti Gawali, Vaishali Khaparde. (2022) Artificial Intelligence and Data Mining in Predictive Analytics Based on Service Evaluation Based on Academic Library Book Data. International Journal of Education and Learning Systems, 7, 108-115