Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis

Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Bibliografiske detaljer
Main Authors:	Anough, Ahmed Saquif Alam, Hossain, Md. Tahmid, Karim, Kazi Ruzlan, Faruk, Umar
Andre forfattere:	Arif, Hossain
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2019
Fag:	Temporally coherent clustering Exam performance prediction Result prediction Knowledge level determination Cluster analysis > Data processing Machine learning
Online adgang:	http://hdl.handle.net/10361/12816

Lignende værker

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How external standardized language exams and exam prospects affect Bangladeshi students
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A fast tree based cluster labeling algorithm for Monte Carlo simultaitons
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Comparison of temporal disaggregation techniques in the case of export of Bangladesh
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Evaluation of different temporal disaggregation techniques and an application to Italian GDP
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Spatiotemporal heterogeneity of malnutrition indicators in children under 5 years of age in Bangladesh, 1999–2011
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Advances in spatial and temporal databases : 12th International Symposium, SSTD 2011, Minneapolis, MN, USA, August 24-26, 2011. proceedings /
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Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
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Evaluation of a mathematics program for preprimary children in rural Bangladesh
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Clinical evaluation of dengue and identification of risk factors for severe disease: protocol for a multicentre study in 8 countries
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Prediction on large scale data using extreme gradient boosting
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House Price Synchronization and Financial Openness : A Dynamic Factor Model Approach /
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Assessing the water quality of canals in Dhaka city, Bangladesh
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The second curve : thoughts on reinventing society /
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Understanding university students’ fast food consumption behavior and associated health concern
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Analysis on dengue severity using machine learning approach
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Unsupervised semantic segmentation for localization of wetland area fluctuations
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Patterns and trends in food consumption in poor urban and rural households in Bangladesh: cluster analysis of household survey data
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RED-LSTM: Real time emotion detection using LSTM
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The death of the West : how dying populations and immigrant invasions imperil our country and civilization /
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Erratum: Prenatal and postnatal supplementation with lipid-based nutrient supplements reduces anemia and iron deficiency in 18-month-old Bangladeshi children: A cluster-randomized effectiveness trial
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Finding ideal geographical location for businesses using machine learning technique
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Emotion analysis using machine learning model and deep learning model on DEAP dataset
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