predicted increase enrollment in higher education using neural networks and data mining techniques

the clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance

با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...

Opinion Mining, Social Networks, Higher Education

Background and Aim: With the advent of technology and the use of social networks such as Instagram, Facebook, blogs, forums, and many other platforms, interactions of learners with one another and their lecturers have become progressively relaxed. This has led to the accumulation of large quantities of data and information about studentschr('39') attitudes, learning experiences, opinions, and f...

Recommendation in Higher Education Using Data Mining Techniques

A Higher Education Predictive Model Using Data Mining Techniques

The main objective of the higher educational organization is to provide high quality and necessary education to its students. The two goals of data mining in Indian education system is to analyze and enhance the chronicle way of recent educational data mining advances development; the second is to preserve, organize and discuss the content of the result which is produced by a data mining approa...

Building a Classification Model for Enrollment In Higher Educational Courses using Data Mining Techniques

Classification model for the Student's Enrollment process in higher educational courses using data mining techniques Data Mining is the process of extracting useful patterns from the huge amount of database and many data mining techniques are used for mining these patterns. Recently, one of the remarkable facts in higher educational institute is the rapid growth data and this educational data i...

Data Mining in Higher Education

Higher Education targets to develop complex theoretical, abstract and analytical reasoning capabilities in the alumni. This objective can be accomplished addressing four major steps: Theoretical foundation, practice, communication and assessment (Petry, 2002). Theoretical background and practical exercise comprise the basic knowledge building process at initial stages. Assessment guides the alu...