Lam Hong Lee

According to our database, Lam Hong Lee authored at least 14 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Consensus holistic virtual screening for drug discovery: a novel machine learning model approach.

Said Moshawih, Zhen Hui Bu, Hui Poh Goh, Nurolaini Kifli, Lam Hong Lee, Khang Wen Goh, Chiau Ming Long

J. Cheminformatics, December, 2024

Transaction Method of Warehouse Sharing Platform Based on Blockchain Technology.

Pan Xu, Lam Hong Lee

Int. J. Commun. Networks Inf. Secur., 2024

2019

Automatic Folder Allocation System for Electronic Text Document Repositories Using Enhanced Bayesian Classification Approach.

Wou Onn Choo, Lam Hong Lee, Yen Pei Tay, Khang Wen Goh, Dino Isa, Suliman Mohamed Fati

Int. J. Intell. Inf. Technol., 2019

2016

Using unsupervised clustering approach to train the Support Vector Machine for text classification.

Niusha Shafiabady, Lam Hong Lee, Rajprasad Rajkumar, V. P. Kallimani, Nik Ahmad Akram, Dino Isa

Neurocomputing, 2016

2013

Oil and gas pipeline failure prediction system using long range ultrasonic transducers and Euclidean-Support Vector Machines classification approach.

Lam Hong Lee, Rajprasad Rajkumar, Lai Hung Lo, Chin Heng Wan, Dino Isa

Expert Syst. Appl., 2013

2012

A hybrid text classification approach with low dependency on parameter by integrating K-nearest neighbor and support vector machine.

Chin Heng Wan, Lam Hong Lee, Rajprasad Rajkumar, Dino Isa

Expert Syst. Appl., 2012

High Relevance Keyword Extraction facility for Bayesian text classification on different domains of varying characteristic.

Lam Hong Lee, Dino Isa, Wou Onn Choo, Wen Yeen Chue

Expert Syst. Appl., 2012

An enhanced Support Vector Machine classification framework by using Euclidean distance function for text document categorization.

Lam Hong Lee, Chin Heng Wan, Rajprasad Rajkumar, Dino Isa

Appl. Intell., 2012

Automatic folder allocation system using Bayesian-support vector machines hybrid classification approach.

Lam Hong Lee, Rajprasad Rajkumar, Dino Isa

Appl. Intell., 2012

2010

Automatically computed document dependent weighting factor facility for Naïve Bayes classification.

Lam Hong Lee, Dino Isa

Expert Syst. Appl., 2010

2009

Using the self organizing map for clustering of text documents.

Dino Isa, V. P. Kallimani, Lam Hong Lee

Expert Syst. Appl., 2009

2008

Text Document Preprocessing with the Bayes Formula for Classification Using the Support Vector Machine.

Dino Isa, Lam Hong Lee, V. P. Kallimani, Rajprasad Rajkumar

IEEE Trans. Knowl. Data Eng., 2008

Text Document Pre-Processing Using the Bayes Formula for Classification Based on the Vector Space Model.

Dino Isa, Lam Hong Lee, V. P. Kallimani, Rajprasad Rajkumar

Comput. Inf. Sci., 2008

Polychotomiser for Case-based Reasoning beyond the Traditional Bayesian Classification Approach.

Dino Isa, Lam Hong Lee, V. P. Kallimani, R. Prasad

Comput. Inf. Sci., 2008