Search Results - "Phung, Nguyen Hua"

Enhanced CNN Models for Binary and Multiclass Student Classification on Temporal Educational Data at the Program Level by Chau, Vo Thi Ngoc, Phung, Nguyen Hua

“…In educational data mining, student classification is an important and popular task by predicting final study status of each student. In the existing works,…”
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A kernel-induced weighted object-cluster association-based ensemble method for educational data clustering by Vo, Chau Thi Ngoc, Nguyen, Phung Hua

“…Exploiting single models for a better ensemble one is popular for a classification or clustering task. For educational data clustering, our work proposes a…”
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Imbalanced educational data classification: An effective approach with resampling and random forest by Vo Thi Ngoc Chau, Nguyen Hua Phung

“…Educational data mining is emerging in the data mining research arena. Despite an applied field of data mining techniques and methods, educational data mining…”
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Frequent temporal pattern mining incrementally from educational databases in an academic credit system by Hong Van, Hoang Thi, Ngoc Chau, Vo Thi, Phung, Nguyen Hua

“…Educational data mining is emerging for useful knowledge hidden in educational databases. Frequent temporal pattern mining is one of the popular mining tasks…”
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An Effective Semi-Supervised Learning Framework for Temporal Student Classification by Chau, Vo Thi Ngoc, Phung, Nguyen Hua

“…The educational domain is one of the most dynamic domains because a lot of changes happen for continuous improvement year by year. Therefore, it is hard to…”
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Combining Self-Training and Tri-Training for Course-Level Student Classification by Vo Thi Ngoc Chau, Nguyen Hua Phung

“…Course-level student classification is one of the most popular tasks in the educational data mining area. It helps early identifying the students facing…”
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An Effective and Robust Self-Training Algorithm Using k-Means and Random Forest Models for Program-Level Student Classification by Ngoc Chau, Vo Thi, Phung, Nguyen Hua

“…In educational data mining, program-level student classification is a popular task focusing on predicting the final study status of a student at the end of the…”
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On Temporal Cluster Analysis for Early Identifying In-trouble Students in an Academic Credit System by Chau, Le Minh, Chau, Vo Thi Ngoc, Phung, Nguyen Hua

“…Early in-trouble student identification in an academic credit system is a challenging popular task in the educational data mining field. Only the first few…”
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Combining transfer learning and co-training for student classification in an academic credit system by Nguyen, Duy Hoang, Vo Thi, Ngoc Chau, Nguyen, Hua Phung

“…Student classification is one of the popular educational data mining tasks to early predict in-trouble students in an educational system for appropriate and…”
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ST_OS: An Effective Semisupervised Learning Method for Course-Level Early Predictions by Vo, Thi Ngoc Chau, Nguyen, Phung

“…A course-level early final study status prediction task is to predict as soon as possible the final success of each student after studying a course. It is…”
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A Knowledge-Driven Educational Decision Support System by Vo Thi Ngoc Chau, Nguyen Hua Phung

“…Education always plays an important role in building up every country around the world. Hence, educational decision making support is significant to students,…”
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A robust and effective algorithmic framework for incomplete educational data clustering by Vo Thi Ngoc Chau, Nguyen Hua Phung, Vo Thi Ngoc Tran

“…Data clustering is one of the popular tasks recently used in the educational data mining arena for grouping similar students by several aspects such as study…”
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Towards a robust incomplete data handling approach to effective educational data classification in an academic credit system by Nguyen Truc Mai Anh, Vo Thi Ngoc Chau, Nguyen Hua Phung

“…Educational data classification is an educational data mining task which classifies our students based on their study performance. Although many data…”
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Interprocedural side-effect analysis for incomplete object-oriented software modules by Xue, Jingling, Nguyen, Phung Hua, Potter, John

“…We introduce a new approach to computing interprocedural modification side effects for part of an object-oriented program (e.g., components, libraries or…”
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Making kernel-based vector quantization robust and effective for incomplete educational data clustering by Vo, Thi Ngoc Chau, Nguyen, Hua Phung, Vo, Thi Ngoc Tran

“…Nowadays, knowledge discovered from educational data sets plays an important role in educational decision making support. One kind of such knowledge that…”
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A Cumulative Increasing Kemelized Nearest-Neighbor Bagging Method for Early Course-Level Study Performance Prediction by Chau, Vo Thi Ngoc, Phung, Nguyen Hua

“…Early course-level study performance prediction is a significant educational data mining task to forecast the success of each current student in a course using…”
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A robust random forest-based tri-training algorithm for early in-trouble student prediction by Ngoc Chau, Vo Thi, Phung, Nguyen Hua

“…Educational data mining has received much attention worldwide due to its significance in the education domain. Among a large number of the educational data…”
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An expanded prefix tree-based mining algorithm for sequential pattern maintenance with deletions by Hoang Thi Hong Van, Vo Thi Ngoc Chau, Phung, Nguyen Hua

“…Sequential pattern mining is an important mining task for discovering sequential patterns along with their insight relationships in many real-world…”
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Extracting Rule RF in Educational Data Classification: From a Random Forest to Interpretable Refined Rules by Lu Thi, Kim Phung, Vo Thi, Ngoc Chau, Phung, Nguyen Hua

“…To early detect in-trouble students in an academic credit system has been emerging in the educational data mining research arena. This problem has been taken…”
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