Search Results - (( java implementation mining algorithm ) OR ( missing making process algorithm ))
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Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Thesis -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Scalable approach for mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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4
Mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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5
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 -
6
Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset
Published 2020“…Missing values in datasets is a synonymous problem in data mining which could lead to an incomplete dataset, making inaccurate predictions results in machine learning prediction processes. …”
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Restoration of missing data in old archives based on genetic algorithm
Published 2014“…In this paper, we consider this task similar to an optimization problem and apply Genetic Algorithm (GA) to each frame. The current frame scans row by row and is considered as the corrupted slice of each row which is found; then, we apply the GA to fill the missing data on that special portion and the process is continued to cover the image completely. …”
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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. …”
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9
Development of an imputation technique - INI for software metric database with incomplete data
Published 2007“…In this paper, an imputation technique for imputing missing data based on global-local Modified Singular Value Decomposition (MSVD) algorithm, INI was proposed. …”
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Book Section -
10
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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11
Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan
Published 2018“…The result shows that DFIS possesses a persisting accuracy problem in prediction. DFIS predicts missing values through association between parameters, yet makes no distinction between the different associations. …”
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12
An enhanced robust association rules method for missing values imputation in Arabic language data set
Published 2023“…The failure to handle missing values usually causes unwanted consequences such as misleading analysis and decision-making. …”
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13
Optimizing skyline query processing in incomplete data
Published 2019“…Most of the previously proposed skyline algorithms work on a complete database where the data are always present (non-missing). …”
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Efficient skyline processing algorithm over dynamic and incomplete database
Published 2018“…However, the rapid growth and frequent changes of data make the process of identifying skyline points no longer a trivial task. …”
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Proceeding Paper -
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Enhanced utility accrual scheduling algorithms for adaptive real time system.
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A systematic review of recurrent neural network adoption in missing data imputation
Published 2025“…It is often resulting from human error, system faults, and respondent non-response. Failing to address missing data can lead to inaccurate results during data analysis, as incomplete data sequences introduce biases and compromise the distribution of the synthesized data, and cause a negative impact on the decision-making process. …”
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GNN-based skyline query processing for large-scale and incomplete graphs
Published 2026“…However, traditional skyline algorithms struggle with large volumes and missing data, leading to high computational costs and inefficiencies. …”
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An improved machine learning model of massive Floating Car Data (FCD) based on Fuzzy-MDL and LSTM-C for traffic speed estimation and prediction
Published 2023“…In this model, the Fuzzy-MDL is applied as the pre-processing step to estimate the missing traffic speeds. …”
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Thesis