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.

Xehetasun bibliografikoak
Egile Nagusiak:	Anough, Ahmed Saquif Alam, Hossain, Md. Tahmid, Karim, Kazi Ruzlan, Faruk, Umar
Beste egile batzuk:	Arif, Hossain
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2019
Gaiak:	Temporally coherent clustering Exam performance prediction Result prediction Knowledge level determination Cluster analysis > Data processing Machine learning
Sarrera elektronikoa:	http://hdl.handle.net/10361/12816

Antzeko izenburuak

The economics of clusters

Anomaly clustering based on correspondence analysis
nork: Islam, Humayra
Argitaratua: (2018)

Extractive text summarization using Fuzzy-c-means clustering
nork: Gani, Shafiul
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A new approach for processing X-ray data for detecting mini-halos in galaxy clusters
nork: Jafar, Zareef, et al.
Argitaratua: (2021)

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nork: Fatema, Kaniz, et al.
Argitaratua: (2019)

Integration of data clustering to intelligent email classifier
nork: Zisan, Shahriar Ahmed
Argitaratua: (2019)

Cluster analysis /
nork: Aldenderfer, Mark S.
Argitaratua: (1984)

Competition, competitive advantage, and clusters

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nork: Choudhury, Joydhriti, et al.
Argitaratua: (2019)

Clustering web pages based on doc type structure in a distributed manner
nork: Kader, Kazi Samiul, et al.
Argitaratua: (2015)

How external standardized language exams and exam prospects affect Bangladeshi students
nork: Janum, Jarjina
Argitaratua: (2022)

A fast tree based cluster labeling algorithm for Monte Carlo simultaitons
nork: Kamal, Marzuk M., et al.
Argitaratua: (2010)

Comparison of temporal disaggregation techniques in the case of export of Bangladesh
nork: Islam, Dr. Mohammad Rafiqul
Argitaratua: (2017)

A holistic approach to promoting early child development: A cluster randomised trial of a group-based, multicomponent intervention in rural Bangladesh
nork: Pitchik, Helen O, et al.
Argitaratua: (2022)

Site planning for cluster housing /
nork: Untermann, Richard K.
Argitaratua: (1977)

Engagement of husbands in a maternal nutrition program substantially contributed to greater intake of micronutrient supplements and dietary diversity during pregnancy: Results of a cluster-randomized program evaluation in Bangladesh
nork: Nguyen, Phuong Hong, et al.
Argitaratua: (2022)

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nork: Islam, Mohammad Rafiqul
Argitaratua: (2010)

Spatiotemporal heterogeneity of malnutrition indicators in children under 5 years of age in Bangladesh, 1999–2011
nork: Hasan, Md Tanvir, et al.
Argitaratua: (2022)

Humanitarian response coordination architecture in Bangladesh Rohingya refugee crisis operation: practice, challenges and prospects
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nork: Haidari, Rahimullah
Argitaratua: (2024)

Accelerating IP routing algorithm using graphics processing unit for high speed multimedia communication
nork: Uddin, Jia, et al.
Argitaratua: (2016)

Advances in spatial and temporal databases : 12th International Symposium, SSTD 2011, Minneapolis, MN, USA, August 24-26, 2011. proceedings /
Argitaratua: (2011)

Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
nork: Hasan, Raad, et al.
Argitaratua: (2021)

Evaluation of a mathematics program for preprimary children in rural Bangladesh
nork: Opel, Aftab, et al.
Argitaratua: (2016)

Clinical evaluation of dengue and identification of risk factors for severe disease: protocol for a multicentre study in 8 countries
nork: Jaenisch, Thomas, et al.
Argitaratua: (2018)

Prediction on large scale data using extreme gradient boosting
nork: Sawon, Md.Tariq Hasan, et al.
Argitaratua: (2016)

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nork: Katagiri, Mitsuru
Argitaratua: (2018)

Assessing the water quality of canals in Dhaka city, Bangladesh
nork: Rahman, Md. Kholilur, et al.
Argitaratua: (2022)

Investigation assistant with suspect anticipating intelligence
nork: Abdullah, Saqueeb, et al.
Argitaratua: (2019)

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nork: Amin, M.M. Shahriar, et al.
Argitaratua: (2021)

The second curve : thoughts on reinventing society /
nork: Handy, Charles B.
Argitaratua: (2015)

Understanding university students’ fast food consumption behavior and associated health concern
nork: Chowdhury, Md. Ridowan, et al.
Argitaratua: (2018)

Analysis on dengue severity using machine learning approach
nork: Sayeed, Sanjana, et al.
Argitaratua: (2021)

Unsupervised semantic segmentation for localization of wetland area fluctuations
nork: Tahsin, Anika, et al.
Argitaratua: (2024)

Patterns and trends in food consumption in poor urban and rural households in Bangladesh: cluster analysis of household survey data
nork: Halder, Shantana R, et al.
Argitaratua: (2020)

RED-LSTM: Real time emotion detection using LSTM
nork: Labiba, Mansura Rahman, et al.
Argitaratua: (2023)

The death of the West : how dying populations and immigrant invasions imperil our country and civilization /
nork: Buchanan, Patrick J. (Patrick Joseph), 1938-
Argitaratua: (2002)

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
nork: Matias, Susana L, et al.
Argitaratua: (2022)

Finding ideal geographical location for businesses using machine learning technique
nork: Mahmud, Mir Ibtid, et al.
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Emotion analysis using machine learning model and deep learning model on DEAP dataset
nork: Hasan, Anita, et al.
Argitaratua: (2022)