Search Results - (( pre implementation function 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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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Implementation of safe experimentation spiral dynamics algorithm for self-tuning of PID controller in elastic joint manipulator
Published 2022“…Such modification is implemented to exploit the ability of spiral function in enhancing both the algorithm's exploration competency and convergence accuracy. …”
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Studies on flat CORDIC implementation in field programmable gate arrays (FPGA) / Meera Subramaniam
Published 2004“…The CORDIC algorithm has been widely researched as an efficient hardware algorithm for the computation of trigonometric, hyperbolic and transcendental functions. …”
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Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…A data parallel algorithm (DPA-EHD) is designed and implemented for the EHD equations. …”
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Car dealership web application
Published 2022“…Hence, two transfer learning algorithms were proposed and implemented to provide initial performance boost to the River adaptive random forest regressor and classifier, respectively. …”
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Final Year Project / Dissertation / Thesis -
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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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A soft hierarchical algorithm for the clustering of multiple bioactive chemical compounds
Published 2007“…The results of the algorithm show significant improvement in comparison to a similar implementation of the hard c-means algorithm.…”
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Book Section -
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Comparison Of Phylogenetic Trees Using Difference Distance Function Method
Published 2005“…The pre-processing is implemented using the Microsoft Visual C++. …”
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Final Year Project Report / IMRAD -
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Least Square QR Decomposition Method for Solving the Inverse Problem in Functional Near Infra-Red Spectroscopy
Published 2021“…For image reconstruction, the numerical algorithm for the LSQR method is created and implemented in MATLAB. …”
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A novel hybrid photovoltaic current prediction model utilizing singular spectrum analysis, adaptive beluga whale optimization, and improved extreme learning machine
Published 2025“…The ABWO is validated by comparing it to well-published methods using a range of benchmark functions and then implemented to address real-world engineering challenges. …”
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Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. The image clustering is major part of data mining where study about how to binds the similar data together in a cluster and show the meaningful data. …”
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Laser and vision sensing for obstacle avoidance and target seeking for a simple mobile robot
Published 2009“…A localization system of the robot is based on progressive calculation and updating of global (world) and object coordinates. The system is implemented using inexpensive commodity hardware and employs simple but effective data processing software and control algorithms. …”
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Real-time identification of an unmanned quadcopter flight dynamics using fully tuned radial basis function network
Published 2018“…Recursive learning algorithms, such as Constant Trace (CT) can be implemented to solve insufficient training data and over-fitting problems by developing a new model from real-time flight data in each time step. …”
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