ROLE OF DATA MINING IN EDUCATION SECTOR

Universities either public or private and its colleges enroll thousands of students into var ious courses or programs every year. They collect inform ation from students at the time of admissions and s tore the same in computers. Understanding the benefits o f data is essential from business point of view. Da ta can be used for classifying and predicting the students ’ behaviour, performance, dropouts as well as teach ers’ performance. Therefore, this paper examines the rol e f data mining in an education sector. In additio n, lays emphasis on application of data mining that contrib ute to offer competitive courses and improve their business. Key Terms: Data Mining; Data Mining Process; Data Mining Tasks; Data Mining Techniques; Data Mining Application

[1]  Philip S. Yu,et al.  Data Mining Techniques for Associations, Clustering and Classification , 1999, PAKDD.

[2]  Seungjin Choi,et al.  Supervised Learning , 2009, Encyclopedia of Biometrics.

[3]  Hui-Huang Hsu Introduction to Data Mining in Bioinformatics , 2008 .

[4]  Sebastián Ventura,et al.  Data mining in course management systems: Moodle case study and tutorial , 2008, Comput. Educ..

[5]  Bharati M. Ramageri DATA MINING TECHNIQUES AND APPLICATIONS , 2011 .

[6]  Hui-Huang Hsu,et al.  Advanced Data Mining Technologies in Bioinformatics , 2006 .

[7]  Sebastián Ventura,et al.  Data mining in education , 2013, WIREs Data Mining Knowl. Discov..

[8]  Chuang-Chun Liu,et al.  An empirical investigation of factors influencing the adoption of data mining tools , 2012, Int. J. Inf. Manag..

[9]  Wu He,et al.  Examining students' online interaction in a live video streaming environment using data mining and text mining , 2013, Comput. Hum. Behav..

[10]  Li Xiu,et al.  Application of data mining techniques in customer relationship management: A literature review and classification , 2009, Expert Syst. Appl..

[11]  Donald K. Wedding,et al.  Discovering Knowledge in Data, an Introduction to Data Mining , 2005, Inf. Process. Manag..

[12]  Sholom M. Weiss,et al.  Predictive data mining - a practical guide , 1997 .

[13]  So Young Sohn,et al.  Customer pattern search for after-sales service in manufacturing , 2009, Expert Syst. Appl..

[14]  Ian H. Witten,et al.  Data mining - practical machine learning tools and techniques, Second Edition , 2005, The Morgan Kaufmann series in data management systems.

[15]  Paolo Giudici,et al.  Applied Data Mining: Statistical Methods for Business and Industry , 2003 .

[16]  Sang-Chan Park,et al.  Visualization method for customer targeting using customer map , 2005, Expert Syst. Appl..

[17]  Tai-Chang Hsia,et al.  Course planning of extension education to meet market demand by using data mining techniques - an example of Chinkuo technology university in Taiwan , 2008, Expert Syst. Appl..

[18]  Florin Gorunescu,et al.  Data Mining - Concepts, Models and Techniques , 2011, Intelligent Systems Reference Library.

[19]  Béchir el Ayeb,et al.  An efficient approach for building customer profiles from business data , 2010, Expert Syst. Appl..

[20]  Silvia Massa,et al.  An Application of Data Mining to the Problem of the University Students' Dropout Using Markov Chains , 1999, PKDD.

[21]  Mu-Chen Chen,et al.  Mining changes in customer behavior in retail marketing , 2005, Expert Syst. Appl..

[22]  Samira ElAtia,et al.  Implications and challenges to using data mining in educational research in the Canadian context , 2012 .

[23]  Ikou Kaku,et al.  Data Mining: Concepts, Methods and Applications in Management and Engineering Design , 2011 .

[24]  Zlatko J. Kovacic,et al.  Early Prediction of Student Success: Mining Students Enrolment Data , 2010 .

[25]  A. Peña,et al.  Educational data mining: a sample of review and study case , 2009 .

[26]  Chi-Kuang Chen,et al.  A customer-oriented organisational diagnostic model based on data mining of customer-complaint databases , 2012, Expert Syst. Appl..

[27]  Dursun Delen,et al.  Analysis of cancer data: a data mining approach , 2009, Expert Syst. J. Knowl. Eng..

[28]  William W. Guo Incorporating statistical and neural network approaches for student course satisfaction analysis and prediction , 2010, Expert Syst. Appl..

[29]  Alan L. Cox,et al.  Extending the Applicability of Association Rules , 1999, PAKDD.