… To help you select the most appropriate data-mining algorithm or algorithms, we’ll start by
thinking about some of the business problems that SSAS data mining can impact. Later, we’ll tie …

… It is anticipated that congressional oversight of data mining projects will grow as data mining
… Reflecting this conceptualization of data mining, some observers consider data mining to be …

… warehousing and on-line services over the Internet, lalso call for various data mining … ,
on the data mining techniques developed recently A classification of the available data mining …

… Applying data mining (DM) in education is an emerging interdisciplinary research … data
mining (EDM). It is concerned with developing methods for exploring the unique types of data that …

The requirements of a data mining technique used during the Modeling Phase may cause the
process to loop back to the Data Preparation Phase, with the goal of improving data quality…

… Educational data mining methods often differ from methods from the broader data mining
literature, in explicitly exploiting the multiple levels of meaningful hierarchy in educational data. …

… accepted and data mining is sometimes used as a synonym. In this work, data mining is …
data mining from other areas of data analysis. We now elaborate this point. In many cases, …

… A brief description of a number of case studies from different application areas is presented
to show the wide range of applications of data mining. Some information on data mining …

… data mining process. The tutorial also provides a basic understanding of how to plan, evaluate
and successfully refine a data mining … After explaining the nature of data mining and its …

… the reader can learn data mining by doing data mining. The intention is to mirror the real-world
data mining scenario. In the real world, dirty data sets need to be cleaned; raw data …