Search Results - (( _ constructability data algorithm ) OR ( java application customization algorithm ))
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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An evolutionary based features construction methods for data summarization approach
Published 2015“…In other words, this research will discuss the application of genetic algorithm to optimize the feature construction process from the Coral Reefs data to generate input data for the data summarization method called Dynamic Aggregation of Relational Attributes (DARA). …”
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A data mining approach to construct graduates employability model in Malaysia
Published 2011“…This study is to construct the Graduates Employability Model using classification task in data mining. …”
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Optimized feature construction methods for data summarizations of relational data
Published 2014“…The summarized data will then be fed to any classification algorithm to perform the classification task. …”
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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Speeding up index construction with GPU for DNA data sequences
Published 2011“…The advancement of technology in scientific community has produced terabytes of biological data.This datum includes DNA sequences.String matching algorithm which is traditionally used to match DNA sequences now takes much longer time to execute because of the large size of DNA data and also the small number of alphabets.To overcome this problem, the indexing methods such as suffix arrays or suffix trees have been introduced.In this study we used suffix arrays as indexing algorithm because it is more applicable, not complex and used less space compared to suffix trees.The parallel method is then introduced to speed up the index construction process. …”
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A Hybrid of Ant Colony Optimization Algorithm and Simulated Annealing for Classification Rules
Published 2013“…The algorithm fixes the class before rule's construction. …”
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A Scalable Algorithm for Constructing Frequent Pattern Tree
Published 2014“…However, there have been too limited efforts specifically focused on constructing FP-Tree data structure beyond from its original database. …”
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Chebyshev approximation of discrete polynomials and splines
Published 2004“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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Chebyshev approximation of discrete polynomials and splines
Published 2004“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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An extended ID3 decision tree algorithm for spatial data
Published 2011“…Utilizing data mining tasks such as classification on spatial data is more complex than those on non-spatial data. …”
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Strategies for effective value management practice in construction industry
Published 2017“…The objectives were to develop a new optimisation algorithm and apply the results to control construction project costs. …”
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…We improved the ID3 decision tree algorithm such that it can be utilized on spatial data in order to develop a classification model for hotspots occurrence. …”
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Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring
Published 2021“…Thus, in this thesis, a new Smart Energy Meter (SEM) with adaptive data transfer algorithm is designed to accommodate the problem. …”
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Multi-Hop Selective Constructive Interference Flooding Protocol For Wireless Sensor Networks
Published 2019“…MSCIF integrates three main algorithms: clustering algorithm, selection algorithm, and a synchronized flooding. …”
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An ensemble data summarization approach based on feature transformation to learning relational data
Published 2015“…A better cluster result can also be produced by combining the cluster results generated from the GA based clustering with Feature Selection and Feature Construction algorithms.…”
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