Libraries at University of Nebraska-Lincoln
Document Type
Article
Abstract
Data mining is a process that is used to find the important and meaningful patterns in the large data-set. It is used to convert the raw data into meaningful information and knowledge. The unknown patterns are extracted from the unstructured data which is stored in proper format and then utilized for developing future strategies. Various questions arise such as what is data mining, its process, tools or software used in the data mining, and what are the applications of data mining in libraries? This article describes the basics of data mining, process, tools and techniques used in data mining. The data of the circulation section of Jamia Millia University is taken to find out the meaningful patterns and to know certain borrowing habits of the patrons of the library. Python as a language is used for the coding for the determination of various helpful sequences which provide a meaningful interpretation for the circulation section log and such kinds of patterns can be used for the decision making for the library.