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Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

A new algorithm to measure relevance among Web pages by Sadi, M.S., Rahman, M.M. Hafizur, Horiguchi, Susumu

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Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

“…In these experiments, all the training and testing data are represented as feature vectors. By using the proposed algorithm, the sparse coefficients are learned by exploiting the relationships among different multi-view features and leveraging the knowledge from multiple related tasks. …”
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Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks by Krishnasamy, Ganesh, Paramesran, Raveendran

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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Mining least relational patterns from multi relational tables by Selamat, Siti Hairulnita, Mat Deris, Mustafa, Mamat, Rabiei, Bakar, Zuriana Abu

“…Existing mining association rules in relational tables only focus on discovering the relationship among large data items in a database. …”
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Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

“…It searches for similarities among large database. “Web mining” refer to how we can apply the traditional mining techniques that works on relational data and bind it to new data input represented in XML data which might be semi structure or unstructured. …”
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What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility by Zhang, Xin, Tang, Qing Qing, Cai, Ying Ying

“…Results: The analysis revealed that all three intrinsic needs—competence, autonomy, and relatedness—along with social media algorithms and source credibility, positively correlated with fitness-related health information use behaviors among youth. …”
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An adaptive data gathering algorithm for minimum travel route planning in WSNs based on rendezvous points by Ghaleb, Mukhtar, K. Subramaniam, Shamala, Ghaleb, Safwan Mahmood Yahya

“…MCRP exhibits a relatively close performance to other algorithms with respect to power algorithms.…”
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Enhanced ontology-based text classification algorithm for structurally organized documents by Oleiwi, Suha Sahib

“…The main task of a TC is to predict the text‟s class according to the type of tag given in advance. Most TC algorithms used terms in representing the document which does not consider the relations among the terms. …”
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Multi-label learning based on positive label correlations using predictive apriori by Al Azaidah, Raed Hasan Saleh

“…Along with that, two algorithms have been constructed by capturing the positive correlations where the first algorithm (MLR-PC) captures the positive global correlations and the second algorithm (MLCBA) proposes an adaption of AC algorithm to handle MLC based on the positive local correlations. …”
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Scheduled activity energy-aware distributed cluster- based routing algorithm for wireless sensor networks with non-uniform node distribution by Nokhanji, Nooshin

“…Energy Aware Distributed Clustering (EADC) is one of the cluster-based routing protocol proposed for networks with non-uniform node distribution, which can effectively balance the energy consumption among the nodes. However, since the density of nodes varies in each region due to the non-uniform node deployment, in the dense area the sensed and transmitted data are extremely co-related and redundant. …”
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Data mining techniques for transformer failure prediction model: A systematic literature review by Ravi N.N., Mohd Drus S., Krishnan P.S.

Enhancing performance of XTS cryptography mode of operation using parallel design by Ahmed Alomari, Mohammad

“…To fully utilize the performance potential of XTS mode of operation, a parallel design for the algorithm is proposed. The enhanced XTS mode of operation is implemented using OpenMP (Open specifications for Multi Processing) by careful use of parallelism strategy to divide encrypted data evenly among the available processors. …”
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Object-to-Multidimensional database mapping algorithms by Lim, Tong, Lee, Sai

“…Among these aspects are semantic management, data structures and data types supported in these models. …”
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RARE: mining colossal closed itemset in high dimensional data by Md Zaki, Fatimah Audah, Zulkurnain, Nurul Fariza

“…The present society has been sculpted into a continuous data generator. In fact, the massive automatic data collection has generated a new genre of dataset, termed as ‘highdimensional data’, which is characterized by a relatively small number of rows, in comparison to that of large number of columns (or dimensions). …”
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A comparative study of deep learning algorithms in univariate and multivariate forecasting of the Malaysian stock market by Mohd. Ridzuan Ab. Khalil, Azuraliza Abu Bakar

“…It also shows that LSTM possessed the best deep learning model for the Malaysian stock market, achieving the lowest prediction error among the other models. Deep learning demonstrates the ability to handle univariate and multivariate data in preserving important information, thus forecasting the stock market. …”
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Hybrid Genetic Algorithm On Predicting Next Rainfall Distribution by Mohd Zain, Rasuan

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Classification of students' performance in computer programming course according to learning style by Norwawi N.M., Abdusalam S.F., Hibadullah C.F., Shuaibu B.M.

Evaluation of XML documents queries based on native XML database by Lazim, Raghad Yaseen

“…Most early XML storage practices relied on mappings and transformations between XML data trees and relational database tables within a Relational Database. …”
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