Search Results - (( developing file mining algorithm ) OR ( java data optimization algorithm ))
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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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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Undergraduates Project Papers -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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A new classification model for online predicting users' future movements
Published 2008“…The WUM applies data mining techniques for extracting knowledge from user log files in the particular web server. …”
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Conference or Workshop Item -
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Classification of cervical cancer using random forest
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A random search based effective algorithm for pairwise test data generation
Published 2011“…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
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Conference or Workshop Item -
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Lexicon-based and immune system based learning methods in Twitter sentiment analysis
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Scalable approach for mining association rules from structured XML data
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EasyA: Easy and effective way to generate pairwise test data
Published 2013“…This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. …”
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Conference or Workshop Item -
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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Thesis -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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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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Conference or Workshop Item -
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Analytical method for forensic investigation of social networking applications on smartphones
Published 2016“…Mobile devices are a gold mine of evidences for forensic investigators as they store valuable social networking data. …”
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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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Article -
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Smart student timetable planner
Published 2025“…Course data is managed in CSV format, parsed into JSON for fast processing, while sessionStorage and localStorage handle user data within active sessions. …”
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Final Year Project / Dissertation / Thesis -
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…Two sets of experimental data involving 20 diabetic patients and 20 healthy subjects were collected from CITO laboratory Semarang Central Java, Indonesia. …”
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SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
Published 2019“…Wireless sensor networks operate through commonly self-organized sensor nodes to transfer data in a multi-hop approach to a central sink. In order to support fine-grained diagnostic analysis and optimize the performance level of the networks, the reconstruction of per-packet routing path is essential. …”
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