Search Results - (( developing greedy method algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Routing problem in rectangular mesh network using Dijkstra’s based Greedy method
Published 2018“…This paper presents a complete routing algorithm which can further refine the solution by using Dijkstra’s based greedy method. …”
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Routing problem in rectangular mesh network using shortest path based Greedy method
Published 2019“…This paper presents a complete routing algorithm which can further refine the solution by using Dijkstra's based greedy method. …”
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Multi-base number representation in application to scalar multiplication and pairing computation
Published 2011“…In this work, an extension of Greedy algorithm called xGreedy, is proposed. It finds the best approximated powers of each base to be used to convert large integers to new addition chains. …”
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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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Routing problem in rectangular mesh network using shortest path based Greedy method
Published 2019“…This paper presents a complete routing algorithm which can further refine the solution by using Dijkstra's based greedy method. …”
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Information Theoretic-based Feature Selection for Machine Learning
Published 2018“…Besides, this thesis developed a hybrid filter method to enhance the performance of the IFS. …”
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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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Mining Sequential Patterns using I-PrefixSpan
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Approximate maximum clique algorithm (AMCA): A clever technique for solving the maximum clique problem through near optimal algorithm for minimum vertex cover problem
Published 2018“…Material and methods: To test the proposed technique, selected approximation algorithms have been developed to small graph instances. …”
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Optimizing kindergarten schedule using : graph coloring / Nur Nabilah Salleh Muner
Published 2019“…The greedy algorithm was used to color the graph and it was supported by the C++ program. …”
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Research Reports -
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Influence maximisation towards target users and minimal diffusion of information based on information needs
Published 2020“…IDTU was developed on greedy approach by using graph sketches to improve the selection of influencers that maximize influence spread to a set of target users. …”
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Thesis -
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Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…This research starts with developing an algorithm based on original concept of Ant System Algorithm. …”
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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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Thesis -
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Integration Of Travel Time Zone For Optimal Siting Of Emergency Facilities
Published 2008“…Fire stations in Jakarta Selatan were chosen for simulation. Two algorithms, Greedy Adding (Add) and Greedy Adding with Travel Time Evaluation (GAT), were applied to solve the optimization problem of the MSAP. …”
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Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers
Published 2016“…Hence, Robust-LARS (RLARS-RFCH) based on √ consistent multivariate (RFCH) correlation matrix is developed. The proposed method is computationally efficient and its performance outperformed the RLARS-Winsor The algorithm of all possible subsets is greedy and it is inefficient and unstable in the presence of autocorrelated errors and outliers. …”
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Thesis -
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Using artificial intelligence search in solving the camera placement problem
Published 2022“…Due to the impact of optimal camera placement on the efficiency and the cost of surveillance systems as well as the rapid development in sensor technologies and the pressing security needs, the last two decades witnessed an increasing interest in developing and introducing efficient methods for solving what is known as the camera placement problem. …”
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