[PDF] Top 20 Performance Analysis of Classification Algorithms for Prediction of Student Failure in College using Academic Data Processing
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Performance Analysis of Classification Algorithms for Prediction of Student Failure in College using Academic Data Processing
... understudy's data have made vast archives of information reflecting how understudies ...of data about teaching–learning collaboration are unendingly created and pervasively ...this data gives a gold ... See full document
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Title: A Study on Asymmetric Key Cryptography Algorithms Authors: ASAITHAMBI.N Country: India View_pdf Title: EDM APPLICATIONS AND REPORT ANALYSIS - CASE STUDY Authors: M.Saranyakala Country: India View_pdf Title: Incremental Information Extraction Using Relational Database System & PTQL Authors: Prof. Dhande Mahesh, Ashwini Zankar, Sheetal Paithankar, Kanchan Naik, Shweta Mahale Country: India View_pdf
... the student performance or learning outcomes based on course ...educational data mining prediction has been used for student performance, dropout rate, failure rate and ... See full document
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Title: Student Academic Performance Prediction using Machine Learning and Data Mining Techniques
... perform analysis. They included various factors which affect student performance like too much stress, depression, lack of sleep, too much homework, lack of social interaction ...relevant data ... See full document
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Academic Performance based on Gender using Filter Ranker Algorithms An Experimental Analysis in Sultanate of Oman
... their performance from the educational data from which certain rules of classifications and ...predictions[9].Academic performance of students based on gender is ambiguous topic among ... See full document
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Academic Performance Prediction for Success Rate Improvement in Higher Institutions of Learning: An Application of Data Mining Classification Algorithms
... study student performance at high school level, identification of the slow learners’ performance, identification of the highly influencing predictive variables on the academic ... See full document
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Prediction Of College Academic Performance Of Senior High School Graduates Using Classification Techniques
... of student data collected by the higher education institution, together with the potential of Educational Data Mining and analytics, provide a potential for the discovery of factors that contribute ... See full document
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Comparative Analysis of Classification Algorithms for Student Performance
... of data storage management but also how to utilize the data appropriately to improve the quality of managerial decisions as well as the educational performance of students and faculty ...of ... See full document
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Educational Data mining for Prediction of Student Performance Using Clustering Algorithms
... educational data and to use this data to improve the quality of managerial ...nation. Prediction of student’s performance in educational environments is also important as ...Student’s ... See full document
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A Conceptual Framework to Predict Academic Performance of Students using Classification Algorithm
... semester's academic performance. Proposed models using Artificial Neural Networks, Decission tree algorithm and linear regression provided 80% ...students using a Learning Management ... See full document
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ANALYSIS OF STUDENTS DROPOUT FORECASTING USING DATA MINING
... which student needs which type of resource or, in other words, if we are able to predict the results of students, we can improve results and decrease drop out ...used Data Mining in education to improve the ... See full document
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Gender Clustering and Classification Algorithms in Speech Processing: A Comprehensive Performance Analysis
... the performance characteristics of the structure in reducing the wave ...determined. Using regular wave flume, the GA-SVMR model is trained on the data set obtained from experimental wave ... See full document
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Appraisal of the Classification Technique in Data Mining of Student Performance using J48 Decision Tree, K Nearest Neighbor and Multilayer Perceptron Algorithms
... of algorithms and large data ...for data- preprocessing, algorithms for classification, clustering, regression, visualization and association ...for data analysis and ... See full document
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ONLINE GAMING: IMPACT ON THE ACADEMIC PERFORMANCE AND SOCIAL BEHAVIOR OF THE STUDENTS OF COLLEGE OF AGRICULTURE, CENTRAL LUZON STATE UNIVERSITY  
... quantitative analysis study focuses on impacts of online games on academic performance and social behavior of the student of College of Agriculture, Central Luzon State ...necessary ... See full document
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A Comparative Study of Classification Techniques in Data Mining Algorithms
... classifier that must have the capacity to accurately arrange both training and test cases. A test example is an input object and the algorithm must predict an output value. Consider the sample training data set ... See full document
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Sentimental Analysis of Social Media for Stock Prediction using Hadoop
... Abstract:-In today's profoundly created world, consistently, individuals around the world communicate by means of different stages on the Web. What's more, in every moment, a colossal measure of unstructured information ... See full document
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A Novel Hybrid Approach Of Adaboostm2 Algorithm And Differential Evolution For Prediction Of Student Performance
... the academic performance of students using a Kalboard 360 educational ...accurate prediction of student performance can help tutors and instructors to identify and concentrate ... See full document
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Classification of Human Organ Using Image Processing
... Image processing includes, processing based on various features which involves shape, texture, colour and ...several processing steps, which are taking input as an image, extracting the features of ... See full document
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Similarity Based Prediction System using Machine Learning Algorithms in Big Data Analytics
... learning algorithms [5] use some important algorithms such as Preprocessing of Knowledge Discovery Databases (KDD), principal component analysis (PCA) of Feature Extraction, Proposed Extremize ... See full document
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Classification and performance evaluation using data mining algorithms
... (correct prediction, true positive), B (incorrect prediction, false negative), C (incorrect prediction, false negative), D (incorrect prediction, false positive), E (correct prediction, ... See full document
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Performance analysis of Remote Sensing Application using area wise prediction
... big data which lead to a many challenges? In this regard, transformation of the sensor data from remote places are difficult to scientific understanding is challenging ...the data in the form of ... See full document
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