Search Results - (( java application testing algorithm ) OR ( using semantic data algorithm ))
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A survey on textual semantic classification algorithms
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Semantic-k-NN algorithm: An enhanced version of traditional k-NN algorithm
Published 2020“…The k-NN algorithm is one of the most renowned ML algorithms widely used in the area of data classification research. …”
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Semantic-k-NN algorithm: An enhanced version of traditional k-NN algorithm
Published 2020“…The k-NN algorithm is one of the most renowned ML algorithms widely used in the area of data classification research. …”
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RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification
Published 2018“…There are existing implementations of Latent Dirichlet Allocation (LDA) algorithm as a semantic classifier to arrange the data for efficient retrieval. …”
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Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification
Published 2018“…There are existing implementations of Latent Dirichlet Allocation (LDA) algorithm as a semantic classifier to arrange the data for efficient retrieval. …”
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Incorporating semantic similarity measure in genetic algorithm: an approach for searching the gene ontology terms
Published 2007“…Therefore, this study combines semantic similarity measure and genetic algorithm to perform a better retrieval process for searching semantically similar terms. …”
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An automatic grading model for semantic complexity of english texts using bidirectional attention-based autoencoder
Published 2024“…The experimental results show that the overall accuracy of BSETG algorithm is maintained between 70% and 90%, the response speed of BSETG algorithm is relatively fast, and the success rate of BSETG algorithm is relatively stable to a large extent.…”
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Predicting Survey Responses: How and Why Semantics Shape Survey Statistics on Organizational Behaviour
Published 2014“…Language processing algorithms were used to calculate the semantic similarity among all items in state-of-the-art surveys from Organisational Behaviour research. …”
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An enhanced sequential exception technique for semantic-based text anomaly detection
Published 2019“…The detection of semantic-based text anomaly is an interesting research area which has gained considerable attention from the data mining community. …”
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Thesis -
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A Threshold-Based Combination of String and Semantic Similarity Measures for Record Linkage
Published 2011“…This threshold determines the influence of semantic similarity in the final combination algorithm. …”
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Normalized Relational Storage for Extensible Markup Language (XML) Schema
Published 2011“…Results: We show that our algorithm is efficient in terms of reducing data redundancy and preserving semantic expression. …”
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Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding
Published 2022“…The extracted keyphrases are used to compute lexical and semantic similarity to find similar news articles. …”
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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…The method employs Semantic Tags Extraction (STSE) algorithm to extract semantic tags of an element and Element Enrichment (EERM) algorithm to enrich the elements. …”
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USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING
Published 2010“…A variant of distance measurement, cosine similarity, is also embedded to this algorithm. The results are then compared with some existing algorithms, which are used for benchmark purposes. …”
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Modelling semantic context for novelty detection in wildlife scenes
Published 2010“…An algorithm for outlier detection that employs multiple one-class models is proposed. …”
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