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A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining
Published 2009“…The approach in the offline phase is based on the new graph partitioning algorithm to model user navigation patterns for the navigation patterns mining. …”
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Thesis -
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A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.
Published 2009“…In this paper, to provide online predicting effectively, we develop a model for online predicting through web usage mining system and propose a novel approach for classifying user navigation patterns to predict users’ future intentions. …”
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WebPUM : a web-based recommendation system to predict user future movements.
Published 2010“…The approach is based on the new graph partitioning algorithm to model user navigation patterns for the navigation patterns mining phase. …”
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A simultaneous spam and phishing attack detection framework for short message service based on text mining approach
Published 2017“…This thesis addresses SMS Spam and Phishing attack detection framework development. 3 modules can be found in this framework, of which are Data Collection, Attack Profiling and Text Mining respectively. …”
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An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif
Published 2016“…However, limited studies were found in bio-inspired algorithms especially immune based algorithm in talent prediction. …”
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Data mining and analysis for predicting electrical energy consumption
Published 2024“…This classification was done using data mining (five algorithms in specific) and data analysis theory. …”
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A study of customer retention and churn rate management through data mining and customer profiling of Malaysian mobile user
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Facilitating resource allocation decision through Bibliomining: the case of UTM's library / Md Razib Karno
Published 2015“…(c) To study how constructed patterns and trends generate informed decisions on resource allocation for circulation function by using cluster analysis, frequency statistics, averages and aggregates and market basket analysis algorithm. This thesis highlights the finding of a research using data mining technique (CRISP-DM) to explore the potentials of the bibliographic data of an academic library. …”
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Risk Concentration for Context Assessment (RiCCA) of SMS Messages using Danger Theory
Published 2024“…This RiCCA prototype is developed from Danger Theory algorithms that is Dendritic Cell Algorithm (DCA) and Deterministic Dendritic Cell Algorithm (dDCA). …”
thesis::doctoral thesis -
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Sectoral GDP Convergence of Selected RCEP Countries: Lead or Lags?
Published 2017“…For robustness, this application offered the measures of value added convergence in five sectors namely, agriculture, manufacture, service, construction and mining sectors. The study shows an obvious indication for Asian catching up countries to form large clusters that shall be useful in policy formulation for further integration of RCEP.…”
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Computerized Maintenance Management System for Food Processing Industries
Published 2007“…In fact, these downtimes can be forecasted and managed more effectively if an organization takes preemptive measures using artificial intelligence techniques such as data mining, neural networks, genetic algorithm etc. This will provide good estimate to predict next failures. …”
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Using Text Analytics on Social Media Posts to Identify Cues or Features of Depressive Behavior
Published 2023“…This study used the cross-industry process for data mining (crisp-dm) methodology for developing the depression detection model. …”
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Healthcare-Chain: Blockchain-Enabled Decentralized Trustworthy System in Healthcare Management Industry 4.0 with Cyber Safeguard
Published 2023“…This scheme revealed the optimal performance in terms of mining health data size, average response time, transaction latency, and throughput for secured block transactions in blockchain networks.…”
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Blockchain-enabled cybersecurity framework for healthcare domain
Published 2025“…It also formulates the algorithms for the development of the proposed blockchain-enabled healthcare framework and evaluates its performance in data transaction management through simulation. …”
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An early warning system for students at risk using supervised machine learning
Published 2024“…For that, this study will perform a study of the current issues, factors, and solutions in education student’s data, determine the supervised machine learning algorithms, compare which model is the best predict the students’ performances, develop an early warning system for the educators to make an early decision in order to assist and consult the at-risk students, and finally conduct testing and evaluation of the system. …”
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