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A Text Mining Algorithm Optimising the Determination of Relevant Studies by Khashfeh M., Mahmoud M.A., Ahmad M.S.

An efficient fuzzy clustering algorithm for mining user session clusters on web log data by Mallik, M. A., Zulkurnain, Nurul Fariza

“…Client access patterns can be mined from web access log information using Web Usage Mining (WUM) techniques. …”
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Genetic Algorithm for Web Data Mining by Loo, Kevin Teow Aik

“…Eight search engines used for this study were tested with two groups of words. …”
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Tree-based contrast subspace mining method by Florence Sia Fui Sze

“…Those subspaces are termed as contrast subspaces. All existing mining contrast subspace methods (i.e. CSMiner and CSMiner-BPR) use density-based likelihood contrast scoring function to estimate the likelihood of a query object to target class against other class in a subspace. …”
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An efficient fuzzy C-least median clustering algorithm by Mallik, Moksud Alam, Zulkurnain, Nurul Fariza, Nizamuddin, Mohammed Khaja, Aboosalih, K C

“…Because of these circumstances data mining is extremely important to get valuable data from WWW.Clustering data mining is the process of putting together meaning-full or use-full similar object into one group. …”
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Social media mining: a genetic based multiobjective clustering approach to topic modelling by Rayner Alfred, Loo Yew Jie, Joe Henry Obit, Yuto Lim, Haviluddin Haviluddin, Azreen Azman

“…Then, the mapping percentages between the predefined and produced clusters are used to assess the performance of the proposed algorithm. …”
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Modeling Primary School Student Academic Performance Using Data Mining Technique by Muhamad, Mat Yaacub

“…The dataset consists of 6 attributes that are gender and 5 core subjects namely Pemahaman, Penulisan, Sciences, English and Mathematics which were then grouped into excellent, fair and weak group and was mined using association rules technique based on Apriori algorithm to find interesting rules which can influence student academic performance. …”
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Prediction of college student academic performance using data mining techniques. by Abd Jalil, Azura, Mustapha, Aida, Santa, Dzulizah, Zain, Nurul Zaiha, Radwan, Rizalina

“…The classification algorithms used are the Decision Tree, Naïve Bayesian, and Multilayer Perception with the highest classification accuracy by the Naive Bayes algorithm with accuracy of 95.3%. …”
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Social media mining: a genetic based multiobjective clustering approach to topic modelling by Alfred, Rayner, Loo, Yew Jie, Obit, Joe Henry, Lim, Yuto, Haviluddin, Haviluddin, Azman, Azreen

“…Then, the mapping percentages between the predefined and produced clusters are used to assess the performance of the proposed algorithm. …”
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Advanced data mining techniques for landslide susceptibility mapping by Ibrahim, M.B., Mustaffa, Z., Balogun, A.-L., Hamonangan Harahap, I.S., Ali Khan, M.

“…SVM, RT, and NBM algorithms were used to produce predicted datasets from the training datasets. …”
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Comparative analysis of K-Means and K-Medoids for clustering exam questions / Nurul Zafirah Mokhtar by Mokhtar, Nurul Zafirah

“…Determining the suitable algorithm which can bring the optimized group clusters could be an issue. …”
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Clustering of large time-series datasets using a multi-step approach / Saeed Reza Aghabozorgi Sahaf Yazdi by Yazdi, Saeed Reza Aghabozorgi Sahaf

“…Time-series clustering is not only useful as an exploratory technique but also as a subroutine in more complex data mining algorithms. …”
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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.

Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining by Termedi @ Termiji, Mohammad Izzuan

“…Four different data mining classification algorithms which are Random Forest, PART, J48 and Naive Bayes will be used on the dataset. …”
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Automatic clustering of gene ontology by genetic algorithm by Othman, Razib M., Deris, Safaai, Zakaria, Zalmiyah, Illias, Rosli M., Mohamad, Saberi M.

“…Additionally, deciding the number k of clusters to use is not easily perceived and is a hard algorithmic problem. …”
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Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing. by Abubaker, Ahmad Asad

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Data mining and analysis for predicting electrical energy consumption by Khudhair I.Y., Dhahi S.H., Alwan O.F., Jaaz Z.A.

“…This classification was done using data mining (five algorithms in specific) and data analysis theory. …”

An improved ACS algorithm for data clustering by Mohammed Jabbar, Ayad, Ku-Mahamud, Ku Ruhana, Sagban, Rafid

“…Data clustering is a data mining technique that discovers hidden patterns by creating groups (clusters) of objects. …”
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Formulation Of Association Rule Mining (ARM) For An Effective Cyber Attack Attribution In Cyber Threat Intelligence (CTI) by Abu, Md Sahrom, Ariffin, Aswami, Yusof, Robiah, Selamat, Siti Rahayu

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A customized non-exclusive clustering algorithm for news recommendation systems by Ibrahim, Hamidah, Sidi, Fatimah, Mustapha, Aida, Darvishy, Asghar

“…An experiment is carried out using a real dataset which is collected from the news websites. …”
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