Search Results - (( java application mining algorithm ) OR ( knowledge internalization means algorithm ))
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Direct approach for mining association rules from structured XML data
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Thesis -
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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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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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Mining Sequential Patterns using I-PrefixSpan
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Adaptive learning for lemmatization in morphology analysis
Published 2014“…Morphological analysis is used to study the internal structure words by reducing the number of vocabularies used while retaining the semantic meaning of the knowledge in NLP system. …”
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Conference or Workshop Item -
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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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Thesis -
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Document clustering for knowledge discovery using nature-inspired algorithm
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A near-optimal centroids initialization in K-means algorithm using bees algorithm
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Algorithmic approaches in model selection of the air passengers flows data
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Predictive modeling of chlorophyll a for tropical lake by means of hybrid evolutionary algorithm (HEA)
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Representing semantics of text by acquiring its canonical form
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Nature inspired data mining algorithm for document clustering in information retrieval
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Book Section -
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Rule-based filtering algorithm for textual document
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Development of intelligent hybrid learning system using clustering and knowledge-based neural networks for economic forecasting : First phase
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