Search Results - (( java application mining algorithm ) OR ( missing problem based algorithm ))
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Direct approach for mining association rules from structured XML data
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Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
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Thesis -
4
An Evaluation of Machine Learning Algorithms for Missing Values Imputation
Published 2019“…We considered the algorithms in a global, hybrid, local, and knowledge-based technique. …”
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Article -
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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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Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset
Published 2020“…This problem inspires the idea to develop a prediction algorithm to predict the missing values in the dataset, where Support vector regression (SVR) has been proposed as a prediction method to predict missing values in several academic types of researches. …”
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Missing-values imputation algorithms for microarray gene expression data
Published 2019“…By using local and global correlation of the data, we were able to focus mostly on the differences between the algorithms. We classified the algorithms as global, hybrid, local, or knowledge-based techniques. …”
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Book Chapter -
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Restoration of missing data in old archives based on genetic algorithm
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Conference or Workshop Item -
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New Learning Models for Generating Classification Rules Based on Rough Set Approach
Published 2000“…Classification rules were generated based on the best reduct. For the problem of missing data, a new approach was proposed based on data partitioning and function mode. …”
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Thesis -
10
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 -
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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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Conference or Workshop Item -
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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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Missing value estimation methods for data in linear functional relationship model
Published 2017“…Missing value problem is common when analysing quantitative data. …”
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Article -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
15
Confidence intervals (CI) for concentration parameter in von Mises distribution and analysis of missing values for circular data / Siti Fatimah binti Hassan
Published 2015“…The final part of this study is an analysis of missing values for circular variables. Missing values is a common problem that occurs in data collection. …”
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Thesis -
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An efficient approach to detecting missing tags in RFID data stream
Published 2018“…Thus, a Missing Tag Detection Algorithm (MTDA) is proposed to solve the missing tag detection problem. …”
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Article -
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Compiler-based prefetching algorithm for recursive data structure
Published 2007“…This project investigates compiler-based prefetching for pointer based applications particularly those containing Recursive Data Structures (RDS) and designs the proposed algorithm. …”
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Thesis -
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Estimating Missing Precipitation to Optimize Parameters for Prediction of Daily Water Level Using Artificial Neural Network
Published 2006“…It has been found that the ANN has the potential to solve the problems of estimation missing precipitatio in predicting daily water level. …”
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Final Year Project Report / IMRAD -
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Hybrid Sine Cosine and Fitness Dependent Optimizer for global optimization
Published 2021“…Additionally, the SC-FDO was applied to the missing data estimation cases and refined the missingness as optimization problems. …”
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