Search Results - (( (variable OR variables) interactive data algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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A variable combinatorial test suite strategy based on modified greedy algorithm
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Conference or Workshop Item -
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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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Development Of Fall Risk Clustering Algorithm In Older People
Published 2020“…The proposed algorithm consists of several stages, includes data pre-processing, feature selection, feature extraction, clustering and characteristic interpretation. …”
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Final Year Project / Dissertation / Thesis -
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Data driven neuroendocrine pid controller for mimo plants based adaptive safe experimentation dynamics algorithm
Published 2020“…However, control accuracy is insufficient because the secretion rate and control variable error are not able to interact directly and limits the controller capability. …”
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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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Development of an effective clustering algorithm for older fallers
Published 2022“…A total of 1279 subjects and 9 variables were selected for clustering after the data pre-possessing stage. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Determination of tree stem volume : A case study of Cinnamomum
Published 2013“…Illustrations and algorithms are incorporated into the procedures. Non-normal and nonlinear data variables are addressed, hence data characterization is presented. …”
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Survey on input output relation based combination test data generation strategies
Published 2015“…Over the years, many combinatorial test data generation strategies have been developed supporting uniform and variable strength interactions. …”
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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 NEW APPROACH IN EMPIRICAL MODELLING OF CO2 CORROSION WITH THE PRESENCE OF HAc AND H2S
Published 2011“…This effort is inefficient and needs a large number of experiments to process all possible corrosion data simultaneously. 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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Survey on input output relation based combination test data generation strategies
Published 2015“…Over the years, many combinatorial test data generation strategies have been developed supporting uniform and variable strength interactions. …”
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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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Analysis using data mining techniques: the exploration and review data of diabetes patients / Syarifah Adilah Mohamed Yusoff ... [et al.]
Published 2025“…The subsequent step involves a comprehensive study of the dataset, incorporating both data exploration and analysis of data variables to achieve a structural and statistical understanding of the data. …”
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Analysis of daytime and nighttime ground level ozone concentrations using boosted regression tree technique
Published 2017“…A BRT model was developed using hourly ozone data as a response variable and nitric oxide (NO), Nitrogen Dioxide (NO2) and Nitrogen Dioxide (NOx) and meteorological parameters as explanatory variables. …”
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