FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy

B Le, H Duong, T Truong, P Fournier-Viger - Knowledge and Information …, 2017 - Springer
Mining frequent sequences in sequential databases are highly valuable for many real-life
applications. However, in several cases, especially when databases are huge and when low …

TWINCLE: A constrained sequential rule mining algorithm for event logs

B Dalmas, P Fournier-Viger, S Norre - Procedia computer science, 2017 - Elsevier
Discovering workflow patterns in event-logs is important for many organizations to
understand and optimize organizational processes. Although numerous algorithms have …

[PDF][PDF] ICT utilization and improving student performance in higher education

S Pathak, R Raja, V Sharma, S Ambala - International Journal of …, 2019 - sreyas.ac.in
Nowadays, higher education providing institutions depend upon Information and
Communication Technologies (ICT) for all purposes like teaching, administration, learning …

[PDF][PDF] The predictive modeling for learning student results based on sequential rules

HQ Nguyen, TT Pham, V Vo, B Vo, TT Quan - Int. J. Innov. Comput. Inf …, 2018 - ijicic.org
Nowadays, learning activities at universities in Vietnam are mostly in the form of credit-
based mode. That is, to graduate students have to complete the subjects specified in the …

Representative points clustering algorithm based on density factor and relevant degree

D Wu, J Ren, L Sheng - International Journal of Machine Learning and …, 2017 - Springer
Most of the existing clustering algorithms are affected seriously by noise data and high cost
of time. In this paper, on the basis of CURE algorithm, a representative points clustering …

Sequence clustering algorithm based on weighted vector identification

D Wu, J Ren - International Journal of Machine Learning and …, 2017 - Springer
Sequence clustering has become an important topic that experts in data mining are currently
investigating. However, clustering quality is typically significantly affected by both the …

A novel framework for stock trading analysis using casual relationship mining

H Bhoopathi, B Rama - 2017 Third International Conference on …, 2017 - ieeexplore.ieee.org
Stock market has been around as a platform for buyers and sellers of shares. Success in
stock trading, which depends on comprehensive knowhow on the trends of trading, is the …

Predicting the Performance of Disability Students Using Assistive Tools with the Role of ICT in Mining Approach

P Saraswathi, N Nagadeepa - … of the Second International Conference on …, 2019 - Springer
With the advancement of technology, ICT and AT interact their function in providing high-
quality education for students with special needs. SRM is a vital data mining tasks which …

Predicting the Performance of Disability Students Using Assistive Tools with the Role of ICT in Mining

P Saraswathi, N Nagadeepa - Smart Intelligent Computing and …, 2018 - books.google.com
With the advancement of technology, ICT and AT interact their function in providing high-
quality education for students with special needs. SRM is a vital data mining tasks which …

Prototype model to improve the quality of disability students performance towards mining technology

P Saraswathi, N Nagadeepa - 2017 3rd International …, 2017 - ieeexplore.ieee.org
In today's world, disability students are still lingering and hampering for their academic
performance. E-learning is an area of learning background and fewer barriers for disability …