SPACS: Students’ Performance Analysis and Counseling System using Fuzzy logic and Association Rule Mining
نویسندگان
چکیده
منابع مشابه
Fuzzy Logic -based Pre-processing for Fuzzy Association Rule Mining
Conventional Association Rule Mining (ARM) algorithms usually deal with datasets with categorical values and expect any numerical values to be converted to categorical ones using ranges (Age = 25 to 60). Fuzzy logic is used to convert quantitative values of attributes to categorical ones so as to eliminate any loss of information arising due to sharp partitioning (using ranges) and then generat...
متن کاملFuzzy Association Rule Mining
Corresponding Author: Lekha. A., Research Scholar, Dr M G R Educational Research Institute, Chennai, India-600095, Assistant Professor, Department of MCA, PESIT, Bangalore Email: [email protected] Abstract: The paper attempts to propose a fuzzy logic association algorithm to predict the risks involved in identifying diseases like breast cancer. Fuzzy logic algorithm is used to find associatio...
متن کاملEvaluating Students’ Performance using Fuzzy Logic
Fair results give motivation and encouragement to the students. So reforms in education are must not only in curriculum development but also in students' performance assessment. Proposed method is useful when questions in the examination are of subjective or objective type and total time duration is given to attempt all questions rather than individual question. This method considers impor...
متن کاملApplication of Fuzzy Association Rule Mining for Analysing Students Academic Performance
This study examines the relationship between students’ preadmission academic profile and academic performance. Data sample of students in the Department of Computer Science in one of Nigeria private Universities was used. The preadmission academic profile considered includes ‘O’ level grades, University Matriculation Examination (UME) scores, and Post-UME scores. The academic performance is def...
متن کاملOptimizing Membership Functions using Learning Automata for Fuzzy Association Rule Mining
The Transactions in web data often consist of quantitative data, suggesting that fuzzy set theory can be used to represent such data. The time spent by users on each web page is one type of web data, was regarded as a trapezoidal membership function (TMF) and can be used to evaluate user browsing behavior. The quality of mining fuzzy association rules depends on membership functions and since t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016907857