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Prime-based method for interactive mining of frequent patterns
Published 2010“…Then, the proposed method is developed based on the architecture such that the mining model is constructed once, and it can be frequently mined by various minsup. …”
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Modeling Teacher's Integrity Using Data Mining
Published 2010“…Thus, the aim of this study is to develop a model for teacher's integrity using data mining technique. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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Data Mining On Machine Breakdowns And Effectiveness Of Scheduled Maintenance
Published 2019“…Last but not least, some of the complex data mining tasks are not able to perform because of the limited algorithms and machine learning in Orange software.…”
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Monograph -
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Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…We improved the ID3 decision tree algorithm such that it can be utilized on spatial data in order to develop a classification model for hotspots occurrence. …”
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Machine learning for data classification in construction project planning
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Final Year Project / Dissertation / Thesis -
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Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
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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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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. …”
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Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis
Published 2017“…Hybrid neural network was utilized as an evaluation method to select the optimal selection method and optimal training algorithm. The employment of automated toolbox is a straightforward process constructed from eight sub-tools to prepare, train, and processes the data. …”
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Novel rule base development from IED-resident big data for protective relay analysis expert system
Published 2016“…Thus, the objective of this chapter is to study the design of an Expert System called ProtectiveRelay Analysis System (PRAY), which is imbedded with a rule base construction module. This module is to provide the facility of intelligently maintaining the knowledge base of PRAY through the prior discovery of relay operations (association) rules from a novel integrated data mining approach of Rough-Set-Genetic-Algorithm-based rule discovery and Rule Quality Measure. …”
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Book Section -
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Using Markov Model and Association Rules for Web Access Prediction
Published 2006“…Mining user patterns of log file can provide significant and useful informative knowledge. …”
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Data Acquisition System for Efficient L-Band Global Positioning System Signal Reception over a Low Latitude Region
Published 2016“…In this study, a more economical alternative design for MS data monitoring and mining for the satellites transmitting at L-band was designed, constructed, and implemented by utilizing the Global Positioning System (GPS) data. …”
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Application of target detection method based on convolutional neural network in sustainable outdoor education
Published 2023“…Next, the dataset of the specific underwater target image is further constructed. The acquisition system of underwater camera information of manned submersibles is designed through the Single Shot-MultiBox Detector algorithm of deep learning. …”
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Article -
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Portfolio optimization with percentage error-based fuzzy random data for industrial production
Published 2024“…The proposed framework not only acknowledges the importance of data preprocessing but also offers a systematic approach to processing fuzzy random data, thus providing a robust foundation for portfolio selection algorithms. Leveraging fuzzy integers to manage fuzziness and probability distributions to address randomness, our methodology ensures the construction of reliable portfolio selection strategies. …”
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Portfolio optimization with percentage error-based fuzzy random data for industrial production
Published 2024“…The proposed framework not only acknowledges the importance of data preprocessing but also offers a systematic approach to processing fuzzy random data, thus providing a robust foundation for portfolio selection algorithms. Leveraging fuzzy integers to manage fuzziness and probability distributions to address randomness, our methodology ensures the construction of reliable portfolio selection strategies. …”
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Predicting next page access by Markov models and association rules on web log data
Published 2006“…Mining user patterns of log file can provide significant and useful informative knowledge. …”
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Extracting Tweets Using R in The Context of Ethical Issues
Published 2021“…The analysis was carried out with a simple algorithm written in R Programming. 45 keywords based on Ibn Khaldun’s thoughts were constructed as the hashtag to retrieve data from Twitter. …”
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Proceeding Paper
