A Heuristic Approach towards Book Genre Detection & Classification using Data Mining Technique

Exploring the contextual knowledge in books has been crucial aspect of learning from year and years for the learners. Present Library management systems provide quick access towards the availability of the books as well as provides the entire record of its usage. But having said that it also experiences some challenges like predicting the class/ Genre of the book and recommending that book for a corresponding user. This automated utility about books assessment will play a very pivotal role for its users. In this paper data mining techniques (ensembled learning models) are used which are capable enough to predict the genre of a book from the set of various book titles (Sample size of 5700 books taken here) and it will recommend the competent user to explore the book. This approach will open new verticals for the researchers to allow learners to choose the books at their will & area of interest they want to explore.