this gap and examines how data mining techniques can help in making telecommunications pricing decisions. Consequently, any … legislatures. Our experiments are based on a data base of 5,000 U.S. domestic subscribers. Many data mining techniques such as …

dating sites using data mining and machine learning techniques. The study is designed from 2 parts: The first part examines … data mining and machine learning techniques (Decision trees and Genetic Algorithms) to predict which personal attributes …

student success rate? The answers to the above research questions can generally be obtained with data mining tools …. Unfortunately, data mining algorithms work best with large data sets, while student data, available to higher education teachers, is … extremely limited and clearly falls into the category of small data sets. Thus, the study focuses on data mining for small …

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access …, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been … addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the …

its statistical measurements (utilizing tools such as data mining and Business Intelligence (BI), is presented. Lastly …