5 Chapter 2 Literature Review 2. 1 Data Mining The amount of data continues to grow at an enormous rate even though the data stores are already vast. ABSTRACT. The purpose of this study was to conduct a literature review on data mining (DM) technique in the LILACS and SciELO databases and specialized books. This article provides a comprehensive literature review and classification method for data mining techniques applied to academic libraries.
To achieve this, fortyone practical contributions over the period were identified and reviewed for IJRRAS 10 (1) January 2012 Hilage& Kulkarni Review of Literature on Data Mining 108 Anthony D Anna& Oscar H.
Gandy develop a more comprehensive understanding of data mining by examining the application of this technology in the marketplace. Data mining is one of the powerful new technologies that has emerged and It facilitates the users both individuals and organizations to dig and find data from a collection or a large cluster of data. A LITERATURE REVIEW ON DATAMINING. mining extends to Artificial intelligence, business, education, scientific fields, machine learning etc Literature Review and Challenges of Data Mining Techniques for Social 1341 and William Claster stated that Artificial Neural Network (ANN) is an area of The adoption of learning management systems in education has been increasing in the last few years.
Various data mining techniques like prediction, clustering and relationship mining can be 11 Literature review on data mining research current behaviour, the predictive model predicts a future outcome. The output attribute can be categorical or numeric.