Search Results - (( variables interactive effects algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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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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Citation Index Journal -
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Fuzzy Adaptive Tuning of a Particle Swarm Optimization Algorithm for Variable-Strength Combinatorial Test Suite Generation
Published 2018“…In real-world software testing, the input variables may vary in how strongly they interact, variable strength combinatorial interaction testing (VS-CIT) can exploit this for higher effectiveness. …”
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Book Chapter -
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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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HABC: Hybrid artificial bee colony for generating variable T-way test sets
Published 2020“…The input variables for a realworld software may diverge in how they strongly influence variable strength (VS) interaction can achieve that effectively. …”
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HABC: Hybrid artificial bee colony for generating variable T-way test sets
Published 2020“…The input variables for a realworld software may diverge in how they strongly influence variable strength (VS) interaction can achieve that effectively. …”
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Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing
Published 2025“…The effectiveness of these algorithms, also called metaheuristics, largely depends on the capabilities of their search techniques. …”
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A Two Pressure-Velocity Approach for Immersed Boundary Methods in Three Dimensional Incompressible Flows
Published 2013“…The algorithm calculates the interactions between incompressible viscous flows and a solid shape in three-dimensional domain. …”
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Development of genetic algorithm for optimization of yield models in oil palm production
Published 2018“…This research concludes that the GA method is a user-friendly variable selection tool with excellent results because it can choose variables correctly.…”
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Development of an effective clustering algorithm for older fallers
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A NEW APPROACH IN EMPIRICAL MODELLING OF CO2 CORROSION WITH THE PRESENCE OF HAc AND H2S
Published 2011“…In order to study CO2 corrosion of carbon steel involving interactive effects of several key parameters, a proven systematic statistical method that can represent the multitude interactive effects is needed. …”
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Thesis -
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Data driven neuroendocrine pid controller for mimo plants based adaptive safe experimentation dynamics algorithm
Published 2020“…Besides, the SbSR-NEPID was effective in reducing the error in a transient state, and MnHR-NEPID provided effective interaction between nodes available in MIMO systems which contributed to accuracy improvement.…”
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Thesis -
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How social media crisis response and social interaction is helping people recover from Covid-19: an empirical investigation
Published 2022“…The result shows that all the variables are useful and reveal good performance. Thus, crisis management and communication activities should pay more attention to these variables for effective social media crisis communication. …”
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A parallel genetic algorithm-based TSK-Fuzzy system for dynamic car-following modeling
Published 2009“…The proposed model is used for the tire-road slippage index determination which influences the car's speed. Since the car interact with each other on the road and the driver progressive level is different, three interaction variables, that are current car speed, distance to the car ahead and driver progressive level, are defined and an indication of their influence on the tire-road slippage index is analysed. …”
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Survey on input output relation based combination test data generation strategies
Published 2015“…Combinatorial test data generation strategies have been known to be effective to detect the fault in the product due to the interaction between the product’s features. …”
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