Data preparation is an iterative-agile process for exploring, combining, cleaning and transforming raw data into curated datasets self-service integration, science, discovery, BI/analytics. To perform preparation, tools are used by analysts, citizen scientists self- service. The also integrators engineers enablement to reduce the time complexity of interactively accessing, cataloging, harmonizi...

advanced data mining techniques can be used in universities classification, discovering specific patterns in the determination of successful students, design of a plan or a teaching method and finding critical points of financial management. in this article, we proposed a method to predict the rate of student enrollment in coming years. the data for this research were from data sets of voluntee...