One of the main objectives of Indian educational system is evaluating or enhancing the educational organization. Data Mining (DM) is the process of searching the concealed information from a large quantity of data set. It analyzes the data from different source and it converts into meaningful information. There are a lot of advantages of data mining technique in education sector. Utilization of...

This chapter introduces the role of Data Mining (DM) for Business Intelligence (BI) in Knowledge Management (KM), thus explaining the concept of KM, BI, and DM; the relationships among KM, BI, and DM; the practical applications of KM, BI, and DM; and the emerging trends toward practical results in KM, BI, and DM. In order to solve existing BI problems, this chapter also describes practical appl...

Die Analyse von Produktionsprozessen innerhalb von Data-Mining-Projekten stellt einen hohen Anspruch an die interdisziplinäre Zusammenarbeit zwischen Domänenund DataMining-Experten. Die vorgeschlagene modellgestützte Methode offeriert dazu einen ersten Vorschlag, wie real-weltliche Produktionsprozesse in eine von analytischen Verfahren geprägte Welt überführt werden können. Dazu werden die Anfo...

The computing-intensive data mining for inherently Internet-wide distributed data, referred as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an effective scheduling framework. DDM often shares the computing paradigm of local processing and global synthesizing. It involves every phase of Data Mining (DM) processes, which makes the workflow of DDM very complex and c...

Using Software Agents Hillol Kargupta, Brian Sta ord, and Ilker Hamzaoglu Computational Science Methods Group X Division, Los Alamos National Laboratory P.O. Box 1663, MS F645, Los Alamos, NM, 87545 This paper describes an experimental parallel/distributed data mining system PADMA (PArallel Data Mining Agents) that uses software agents for local data accessing and analysis and a web based inter...

My PhD research focuses on Text Mining (TM), one major school in Knowledge Discovery in Data (KDD), and in particular the task of classification/categorization of documents using novel algorithms for the identification of hidden patterns within these documents. Two significant techniques of Data Mining (DM), another well-known major school in KDD, will be utilized to support the research: Assoc...

This study was conducted with data mining (DM) techniques to analyze various patterns of online learning behaviors, and to make predictions on learning outcomes. Statistical models and machine learning DM techniques were conducted to analyze 17,934 server logs to investigate 98 undergraduate students’ learning behaviors in an online business course in Taiwan. The study scientifically identified...

due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. association rules mining is one of the data mining techniques to extract useful patterns in the form of association rules. one of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. hiding the as...