Search Results - (( java implementation phase algorithm ) OR ( knowledge a pattern algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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Thesis -
2
An algorithm for Elliott Waves pattern detection
Published 2018“…All of the fundamental features of an proper Elliott Wave pattern (EW pattern) are reviewed and explained. Based on this knowledge, an algorithm for detection of these patterns is designed, developed and tested. …”
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Article -
3
An algorithm for Elliott Waves pattern detection
Published 2018“…All of the fundamental features of an proper Elliott Wave pattern (EW pattern) are reviewed and explained. Based on this knowledge, an algorithm for detection of these patterns is designed, developed and tested. …”
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Comparison between Market Basket Analysis and Partition Around Medoids clustering for knowledge discovering in consumer consumption pattern / Mohammad Adha Ruslan, Nurul Shahira Mo...
Published 2019“…Nowadays, Knowledge Data Discovery (KOO), is an important knowledge for the industry and an organized process of understandable patterns from a large data set. …”
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Performance of IF-Postdiffset and R-Eclat Variants in Large Dataset
Published 2018“…The R-Eclat is a novel algorithm that determines infrequent patterns in the transaction database. …”
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Genetic algorithm fuzzy logic for medical knowledge-based pattern classification
Published 2023Article -
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A frequent pattern mining algorithm based on FP-growth without generating tree
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A frequent pattern mining algorithm based on FP-growth without generating tree
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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10
Discovering Pattern in Medical Audiology Data with FP-Growth Algorithm
Published 2012“…In this paper we propose a five step knowledge discovery model to discover patterns in medical audiology records. …”
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Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin
Published 2006“…Data mining can discover patterns or rules from a vast volume of data. This patterns or rules may help to develop better decision-making process. …”
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12
Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…An algorithm called Flex (Frequent lexicographic patterns) has been proposed in obtaining a good performance of searching li-equent patterns. …”
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Market prices trend forecasting supported by Elliott Wave's theory
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A Scalable Algorithm for Constructing Frequent Pattern Tree
Published 2014“…Frequent Pattern Tree (FP-Tree) is a compact data structure of representing frequent itemsets. …”
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Discovering association rules for mining images datasets: a proposal
Published 2005“…Our focus for data mining in this paper is concerned with knowledge discovery in image databases. The Author present a data mining algorithm to find association rules in 2-dimensional colour images. …”
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16
Coronary artery segmentation in angiograms with pattern recognition techniques - a survey
Published 2013“…In this paper, we have divided these algorithms into five major classes and propose a survey for the main class, pattern recognition, which is a famous technique in this manner. …”
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Reliability fuzzy clustering algorithm for wellness of elderly people
Published 2019“…Thus, the objective of this paper is to propose a reliable fuzzy clustering algorithm using z-numbers. …”
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Comparative study of apriori-variant algorithms
Published 2016“…Handling and processing this “big data” demand powerful data mining methods and analysis tools that can turn data into useful knowledge. One of data mining methods is frequent itemset mining that has been implemented in real world applications, such as identifying buying patterns in grocery and online customers’ behavior.Apriori is a classical algorithm in frequent itemset mining, that able to discover large number or itemset with a certain threshold value. …”
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Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall
Published 2013“…The LM training algorithm is therefore proposed as an ideal and fast training algorithm for modeling the dynamics of soil pore-water pressure changes in response to rainfall patterns.…”
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