Search Results - (( java implementation phase algorithm ) OR ( knowledge extraction process algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin
Published 2006“…This patterns or rules may help to develop better decision-making process. Data mining is primarily used in finance and business environment to extract knowledge from financial, retail, communication and marketing data. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin
Published 2012“…The results obtained by utilizing Immune Network in sentiment mining are not very impressive compared to other Machine Learning algorithms. The algorithms can be improved furthermore by including other disciplines such as Natural Language Processing (NLP) or others. …”
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A Rough Set-Based Approach for Identifying and Replacing Missing Concepts in Incomplete Sentences in Computer Domain Texts
Published 2026thesis::master thesis -
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An Improvement on Extended Kalman Filter for Neural Network Training
Published 2005“…Extracting useful imformation and knowledge from data is a major concern in information science. …”
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Extracting Tweets Using R in The Context of Ethical Issues
Published 2021“…The simple algorithm is capable to facilitating the process of extracting data from Twitter, such that it easily known to the public tweets that exist in a given time period and this can be used as reference material for further development process. …”
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Proceeding Paper -
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Fruity vegetable recognition system using Color Histogram and BRISK features extraction / Siti Hajar Mohd Nasri
Published 2016“…This project proposed to use Color Histogram as color feature and Binary Robust Invariant Scalable Keypoints (BRISK) features extraction as one of ways to overcome the problem. In process to extract the two main features, K-means clustering algorithm is used as background subtraction method with combination of Canny’s Edge Detection and Mathematical Morphology Operation for shape extraction. …”
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Knowledge of extraction from trained neural network by using decision tree
Published 2017“…The black box problem can be solved by extracting knowledge (rule) from trained neural network. …”
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Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim
Published 2007“…The useful information will be fed to the ANN whereby the BP training algorithm will be performed in order to extract the knowledge of the image that is the final weight. …”
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Development of durian ontology from unstructured text and external knowledge source / Khairul Nurmazianna Ismail
Published 2014“…Meanwhile in ontology element extraction of automatic ontology development, started with upload the OWL file and the next process is the three processes that mention before. …”
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Holy Qur'an speech recognition system Imaalah checking rule for warsh recitation
Published 2017“…Subsequently, after features extraction, a classification algorithm (Hidden Markov Models (HMM)) is employed to compare the features extracted in real-time with that available in the knowledge base.…”
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Proceeding Paper -
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Rule extraction from multi-layer perceptron neural network using decision tree for currency exchange rates forecasting
Published 2015“…The main process in extracting rules from MLP using decision tree for currency exchange rate forecasting can be divided into two stages. …”
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A novel association rule mining approach using TID intermediate itemset
Published 2018“…Designing an efficient association rule mining (ARM) algorithm for multilevel knowledge-based transactional databases that is appropriate for real-world deployments is of paramount concern. …”
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Article -
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An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
Published 2019“…Moreover, it introduces a buffer for storing irrelevant micro-clusters and a fully online pruning process for extracting the temporarily irrelevant micro-cluster from the buffer. …”
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Rule-based filtering algorithm for textual document
Published 2017“…Improper filtration might cause terms that have similar meaning to be removed.Thus, to reduce the high-dimensionality of text, this study proposed a filtering algorithm that is able to filter the important terms from the pre-processed text and applied term weighting scheme to solve synonym problem which will help the selection of relevant term.The proposed filtering algorithm utilizes a keyword library that contained special terms which is developed to ensure that important terms are not eliminated during filtration process.The performance of the proposed filtering algorithm is compared with rough set attribute reduction (RSAR) and information retrieval (IR) approaches.From the experiment, the proposed filtering algorithm has outperformed both RSAR and IR in terms of extracted relevant terms.…”
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Google the earth: what's next?
Published 2010“…The scientific challenge is to develop retrieval algorithms that describe the physical measurement process in sufficient detail, yet are simple enough to allow robust inversion of the remotely sensed signals. …”
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Inaugural Lecture -
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Agent-based extraction algorithm for computational problem solving
Published 2015“…The results show that the extraction algorithm has been able to extract 100 % of the information correctly. …”
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