Search Results - (( data making problem algorithm ) OR ( java application customization algorithm ))
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…Findings This research makes two key observations. Firstly, an algorithm with good performance metrics over a small data set collection may obtain worse results when the data set collection is extended. …”
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Book Section -
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…The proposed algorithm is used as a pre-processing method for data followed by Gustafson-Kessel (GK) algorithm to classify credit scoring data. …”
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Thesis -
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A machine learning approach to tourism recommendations system
Published 2025“…This project aims to develop a tourism attractions recommendation system by integrating machine learning recommendation algorithms. The main problem encountered when developing a powerful recommendation system is cold start problem, data sparsity and scalability problems. …”
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Final Year Project / Dissertation / Thesis -
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Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…Although the swmcan algorithm solves the noise problem in multi-view data, its initial and final graphs are independent and cannot learn from each other. …”
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Weighted Sum-Dijkstra’s Algorithm in Best Path Identification based on Multiple Criteria
Published 2018“…Weighted Sum Method (WSM) is one of the weighting methods to solve the multi criteria decision making problems (MCDM). In order to achieve the objective, Weighted Sum-Dijkstra’s Algorithm (WSDA), a combination method between WSM and Dijkstra’s Algorithm is applied to solve multiple criteria network problems. …”
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Development of Genetic Algorithm Procedure for Sequencing Problem in Mixed-Model Assembly Lines
Published 2009“…All data is taken from literature and the result obtained from genetic algorithm procedure for the first production strategy is compared to study mentioned in literature which represents an improvement of 5% in shortening the make-span for one set of product. …”
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Dengue classification system using clonal selection algorithm / Karimah Mohd
Published 2012“…This project can be improved by making a comparative study on Artificial Immune System and other techniques or algorithms used to solve dengue classification problems.…”
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9
A GPU accelerated parallel genetic algorithm for the traveling salesman problem
Published 2024“…The problem was classified as NP-Hard. Several different algorithms were developed to solve the problem; among them, the Genetic Algorithm was used to deal with it. …”
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Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob
Published 2014“…Besides that, Genetic Algorithm is applying to predict future sales based on the sales and product data. …”
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Disparity between theory & practice beyond the worst-case competitive analysis
Published 2019“…We present modified worst-case input sequences in order to make them comparable to real world data. In addition, we also investigate, how the assumptions made by the algorithm differs from real world. …”
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Proceeding Paper -
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Deploying blockchains to simplify AI algorithm auditing
Published 2023“…This makes it compulsory for the algorithms to be audited. …”
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Proceeding Paper -
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Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment
Published 2017“…In actual APP problems, input data or parameter values, including resource, demand, cost, and objective functions, may be inaccurate. …”
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Customer behavior analysis based on purchasing history and reviews using automated decision-making systems
Published 2025“…Techniques: Then, the decision-making process is used to analyze the customer’s data using the regression algorithm. …”
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Article -
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Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
Published 2005“…In this thesis, an approach that combines the Box-Jenkins methodology for SARIMA model and Genetic Algorithm (GA) will been introduced as a new approach in making a forecast. …”
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An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…However, existing density-based data stream clustering algorithms are not without problems. …”
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Thesis -
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Application of Optimization Methods for Solving Clustering and Classification Problems
Published 2011“…Here, there is a collection of classes with labels and the problem is to label a new observation or data point belonging to one or more classes of data. …”
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Prediction of UPSR Result using clonal selection algorithm (PUR) / Muhammed Khaleeq Shafii
Published 2012“…It can be improved based on data set. This project also can be improved by make a comparative study on Artificial Immune System and other techniques or algorithms that can be used to solve predict actual UPSR grade. …”
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Thesis