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1
Mining Of Resource Usage Using Evoc Algorithm In Grid Environment.
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Conference or Workshop Item -
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Web usage mining for UUM learning care using association rules
Published 2004“…The enormous content of information on the World Wide Web makes it obvious candidate for data mining research. Application of data milling techniques to the World Wide Web referred as Web mining where this term has been used in three distinct ways; Web Content Mining, Web Structure Mining and Web Usage Mining. …”
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Thesis -
3
Web Usage Mining for UUM Learning Care Using Association Rules
Published 2004“…The enormous of information on the World Wide Web makes it obvious candidate for data mining research. Application of data mining techniques to the World Wide Web referred as Web mining where this term has been used in three distint ways; Web Content Mining, Web Structure Mining and Web Usage Mining. …”
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4
Web Usage Mining Using GSP Algorithm: A Study on Sultanah Bahiyah Library Online Databases
Published 2008“…Application of data mining to the World Wide Web referred as Web mining is at the cross road of research from several research communities which can be divided into three branches: Web Content Mining, Web Structure Mining and Web Usage Mining. …”
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5
Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…The mined frequent patterns are then used in generating association rules. …”
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6
A data mining approach to construct graduates employability model in Malaysia
Published 2011“…Results showed that J48, a variant of decision-tree algorithm performed with highest accuracy, which is 92.3% as compared to the average of 91.3% from other Bayes algorithms. …”
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Article -
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IncSPADE: An Incremental Sequential Pattern Mining Algorithm Based on SPADE Property
Published 2016“…In this paper we propose Incremental Sequential PAttern Discovery using Equivalence classes (IncSPADE) algorithm to mine the dynamic database without the requirement of re-scanning the database again. …”
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Book Chapter -
8
An extended ID3 decision tree algorithm for spatial data
Published 2011“…As in the ID3 algorithm that use information gain in the attribute selection, the proposed algorithm uses the spatial information gain to choose the best splitting layer from a set of explanatory layers. …”
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Evaluation of data mining models for predicting concrete strength
Published 2024“…The data mining models used in this project are (i) Decision Tree, (ii) AdaBoost, (iii) XGBoost, (iv) Bagging Regressor and (v) Artificial Neural Network. …”
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Final Year Project / Dissertation / Thesis -
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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journal::journal article -
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HYBRID: an efficient unifying process to mine frequent itemsets
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Proceeding Paper -
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A Text Mining Algorithm Optimising the Determination of Relevant Studies
Published 2023Conference Paper -
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Data mining techniques for transformer failure prediction model: A systematic literature review
Published 2023Conference Paper -
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…Density-based clustering with three clusters outperformed the K-Means algorithm with three clusters in terms of accuracy. …”
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Article -
15
Improved BVBUC algorithm to discover closed itemsets in long biological datasets
Published 2019“…Therefore, this paper proposed a method for computing closure compare with the method used in BVBUC algorithm method. Finally, BVBUC_I is proposed and the performances of these algorithms were evaluated using two synthetic datasets and three real datasets. …”
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A multi-layer dimension reduction algorithm for text mining of news in forex / Arman Khadjeh Nassirtoussi
Published 2015“…Every context requires its own customized text mining algorithms in order to achieve best results. …”
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Thesis -
18
Data mining techniques for disease risk prediction model: A systematic literature review
Published 2023Conference Paper -
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Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image
Published 2014Get full text
Conference or Workshop Item -
20
Data Mining Analysis Of Chronic Kidney Disease (CKD) Level
Published 2022“…Adding the uncertain class the best accuracy obtained was 98.5% using the SMO algorithm. A predictive classification model that determines the accuracy for three classification classes was developed accordingly using the SMO algorithm.…”
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