Search Results - (( java implementation mining algorithm ) OR ( problem using windows algorithm ))
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1
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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2
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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Optimized crossover genetic algorithm for vehicle routing problem with time windows
Published 2010“…Conclusion/Recommendations: This study presented a genetic algorithm for solving vehicle routing problem with time windows using an optimized crossover operator. …”
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Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network
Published 2005“…This routing problem is an NPhard problem. Many algorithms are designed by many researchers to perform this routing such as window method, sequential algorithm, degree-descending algorithm, simulated annealing algorithm, genetic algorithm and ant colony algorithm.This thesis explores two approaches, sequential and parallel approaches. …”
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8
Optimisation of vehicle routing problem with time windows using Harris Hawks optimiser
Published 2022“…The main objective of the study is to minimise the number of vehicles to be assigned for the routing problem subjected to the given time windows. The problem was optimised using a new algorithm known as Harris Hawks Optimiser (HHO). …”
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Solving multi-objective dynamic vehicle routing problem with time windows using multi-objective algorithm
Published 2022“…During the past decade, there is an increasing trend of published papers dealing with dynamic vehicle routing problems with time windows (DVRPTW) but not on multi-objective dynamic vehicle routing problems with time windows (MODVRPTW). …”
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10
Stochastic partially optimized cyclic shift crossover for multi-objective genetic algorithms for the vehicle routing problem with time-windows
Published 2017“…This paper presents a stochastic partially optimized cyclic shift crossover operator for the optimization of the multi-objective vehicle routing problem with time windows using genetic algorithms. …”
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Enhancement on the modified artificial bee colony algorithm to optimize the vehicle routing problem with time windows
Published 2022“…The proposed algorithm was evaluated using benchmark datasets comprising 56 VRPTW instances and 56 Pickup and Delivery Problems with Time Windows (PDPTW). …”
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12
Parallel Optical Window Algorithm Applied to Optical Multistage Interconnection Network
Published 2008“…In this paper, a new parallel algorithm of the window method is developed called the Balanced Parallel Window Method (BPWM) algorithm. …”
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Improving the efficiency of clustering algorithm for duplicates detection
Published 2023“…Window algorithms suffer from the window size. The larger the window, the greater the number of unnecessary comparisons, and the smaller the window size may prevent the detection of duplicates that are supposed to be within the window. …”
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14
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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15
Stochastic partially optimized cyclic shift crossover for multi-objective genetic algorithms for the vehicle routing problem with time-windows
Published 2017“…This paper presents a stochastic partially optimized cyclic shift crossover operator for the optimization of the multi-objective vehicle routing problem with time windows using genetic algorithms. …”
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Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi
Published 2015“…For solving this problem, the aforesaid algorithms have been applied. …”
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Metaheuristics with disposal facility positioning for the waste collection VRP with time windows
Published 2013“…This paper improves heuristic algorithms presented in Benjamin and Beasley (Comput Oper Res 37(12):2270–2280, 2010) for solving the waste collection vehicle routing problem with time windows, particularly the real life waste collection benchmark problems from Kim et al.…”
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Examining the round trip time and packet length effect on window size by using the Cuckoo search algorithm
Published 2016“…Round trip time (RTT) and packet length were captured over several network sessions. They were used as input and their effects were evaluated on window size as the output. …”
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Metaheuristics for the waste collection vehicle routing problem with time windows
Published 2010“…In this problem there is a set of customers which waste is collected by vehicles.Vehicles can visit waste disposal facilities during their working day to empty collected waste and hence continue to collect from customers.The vehicles start and end their routes at a single depot empty.We take into consideration time windows associated with customers, disposal facilities and the depot.Here, we also have a driver rest period.The problem is solved using a number of metaheuristic algorithms namely tabu search (TS) and variable neighbourhood search (VNS).More over, we also present a combined metaheuristic algorithm based on variable neighbourhood tabu search (VNTS).Where the variable neighbourhood is searched via tabu search.Computational experiments on ten publicly available waste collection benchmark problems involving up to 2092 customers and 19 waste disposal facilities indicates that the proposed algorithms are able to find better quality solutions than previous work presented in literature within reasonable computation times.…”
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20
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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