INTERNATIONAL JOURNAL OF ADVANCED ELECTRONICS & COMMUNICATION SYSTEMS Approved by CSIR-NISCAIR ISSN NO: 2277-7318 ISSUE x VOL x, SEPT-OCT, 20xx PAPER ID xxxxx Comparative Analysis on the Application of Data Mining in the Field of Teaching Evaluation Nilesh N Wani Dept of Computer Science Engg.. KCE College of Engg. & IT, Jalgaon, Maharashtra,India nileshwani87@gmail.com Shrikant Lade HOD, Dept of Information and Technology RKDF Institute of Science and Technology, Bhopal, MP, India shrikantlade@yahoo.com Abstract- Data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. It deepens the data analysis, also is able to mine the interesting mode hiding in mass data automatically. As a new data analysis technology, it provides for researchers of various fields with new intelligence means to realize and use data and has been put to many fields. One of its novel applications has been in the teaching sector, where it has been extensively used for the evaluation and analysis of Student and Faculty performance. This works provides a comparative analysis of the use of data mining rules in different works and gives some corrective suggestions for future works. Keywords- Teaching Appraisal, Data Mining, Association Rules, Clustering, A Priori I. INTRODUCTION As a basic link of the teaching practice -the quality assessment is an evaluation of teaching process and results by using the technical and theory of teaching appraisal, which aims to improve the teaching quality and to give standards of some kind of qualification of the estimated object. Teaching appraisal is an important part of the teaching management and the primary means of teaching performance assessment. It is a process of value judgment and improvement to teaching effect and the realization degree of teaching target according to the teaching target and teaching standards It can control, guide and promote the teaching practice and also has a strong orientation. Ever since a long time, the evaluation of teacher works only focused on quantity, not on quality, which lead to unscientific evaluation and non rational analysis. If the data mining technology is used in the teaching appraisal, the defects of traditional analysis methods in it can be amended. We can further explore the relationship between the teaching quality and the teachers’ age and title, also between the classroom teaching effectiveness and teachers’ personal qualities. Based on the above mentioned method, by reasonably deploying the teachers of a class, students will maintain an interest and motivation to learn hard; by providing the decision-making information to teaching management, teaching work will be promoted and teaching quality will be greatly improved A.1 Data Mining The international definition of data mining is: Data mining is the extraction of implicit, previously unknown from application data of abundant, incomplete, obscure, random, but it is the process that have potentially useful information and knowledge [1] [2].Data mining can be operated on any type of stored information with abundant data sources, such as relational database, data warehouse, text and multimedia database, transaction database, www, etc. At present, the data mining technology has been widely used in market basket analysis, financial risk prediction, telecommunication, molecular biology, genetic engineering research, the discovery of access mode to Internet site, and information retrieval, etc[3]. A.2 The Process of Data Mining Knowledge Discovery in Database (KDD) is a complicated process that mining effective, novel, Fig 1. Data Mining is a Step of the KDD