Search Results - (( knowledge identification mining algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Discovering association rules for mining images datasets: a proposal
Published 2005“…The algorithm has four major steps: feature extraction, object identification, auxiliary image creation and object mining. …”
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Outlier Detection Technique in Data Mining: A Research Perspective
Published 2005“…Finding ,removing and detecting outliers is very important in data mining, for example error in large databases can be extremely common, so an important property of a data mining algorithm is robustness with respect to outliers in the database. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…The World Wide Web industry generates big and complex data such as web server log files. Many data mining techniques can be used to analyze log files to extract knowledge and valuable information for both organizations and web developers. …”
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An analysis of text mining factors enhancing the identification of relevant studies
Published 2023“…In this paper, we analyze the literature and identify the text mining factors that influence the identification of relevant studies. …”
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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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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Discretization of integrated moment invariants for writer identification
Published 2008“…Collectively, discrete values are finite intervals in a continuous spectrum of values and well known to play important roles in data mining and knowledge discovery. Many induction algorithms found in the literature requires that training data contains only discrete features and some works better on discretized data; in particular rule based approaches like rough sets. …”
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Data Classification and Its Application in Credit Card Approval
Published 2004“…This project is involved with identification of the available algorithms used in data classification and the implementation of C4.5 decision tree induction algorithm in solving the data classifying task. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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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“…The objective of this study is to propose a prediction model based on bio-inspired algorithm for talent knowledge discovery through some experiments. …”
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Research Reports -
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A framework for malware identification based on behavior
Published 2012“…The IF-THEN Prediction Rules which is generated using the data mining technique, ID3 Algorithm is used. In the implementation of malware target classification, Structure Level Rules are utilized to classify malware into possible target class. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Sentiment-analysis to detect early depressive symptom in Bangla language from social media: a review study
Published 2021“…The review shows that the mostly used method in Sentiment-analysis is Machine Learning in the field of Opinion-mining. Furthermore, we have identified another variable that can be included to improve the existing algorithm.…”
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Multi-modality ontology semantic image retrieval with user interaction model / Mohd Suffian Sulaiman
Published 2020“…This semantic technology is chosen due to the ability to mine, interpret and organise the knowledge. Ontology can be seen as a knowledge base that can be used to improve the image retrieval process with the aim of reducing the semantic gap between visual features and high-level semantics. …”
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Machine-learning approach using thermal and synthetic aperture radar data for classification of oil palm trees with basal stem rot disease
Published 2021“…The main benefit of this study is the development of an appropriate model for early identification and severity classification of BSR disease in oil palms via remote sensing and data mining approaches rapidly and cost-effectively.…”
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