Search Results - (( java implementation search algorithm ) OR ( data solution mining algorithm ))
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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…This study aims to compare the performance of Boyer-Moore, Knuth morris pratt, and Horspool algorithms in searching for the meaning of words in the Java-Indonesian dictionary search application in terms of accuracy and processing time. …”
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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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Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions
Published 2022“…This paper aims to compare the performance of two metaheuristic algorithms which are Jaya Algorithm (JA) and Cuckoo Search (CS) using some common benchmark functions. …”
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Songs Search Using Human Humming Voice
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Final Year Project -
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A numerical method for frequent pattern mining
Published 2009“…Frequent pattern mining is one of the active research themes in data mining. …”
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A partition based feature selection approach for mixed data clustering / Ashish Dutt
Published 2020“…One such pre-processing algorithm in EDM is clustering. It is a widely used method in data mining to discover unique patterns in underlying data. …”
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Data Classification and Its Application in Credit Card Approval
Published 2004“…An analysis on the field of data mining is done to show how data mining, especially data classification, can help in businesses such as targeted marketing, credit card approval, fraud detection, medical diagnosis, and scientific work. …”
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Final Year Project -
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Towards scalable algorithm for closed itemset mining in high-dimensional data
Published 2017“…This paper presents BFF, a scalable algorithm for discovering closed frequent itemsets from high-dimensional data. …”
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Tree-based contrast subspace mining method
Published 2020“…In addition, the tree-based method is extended to mine contrast subspaces of query object in categorical data. …”
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Medical diagnosis using data mining techniques / Shaiful Nizam Zamri
Published 2003“…The report will firstly cover the inductors of data mining and the overview of the overall system and it also reviewed about the data mining paradigm. …”
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A multi-layer dimension reduction algorithm for text mining of news in forex / Arman Khadjeh Nassirtoussi
Published 2015“…Every context requires its own customized text mining algorithms in order to achieve best results. …”
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13
Using unique-prime-factorization theorem to mine frequent patterns without generating tree
Published 2011“…Problem statement: Ffrequent patterns are patterns that appear in a data set frequently. Finding such frequent patterns plays an essential role in mining associations, correlations and many other interesting relationships among data. …”
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Logistic regression methods for classification of imbalanced data sets
Published 2012“…Classification of imbalanced data sets is one of the important researches in Data Mining community, since the data sets in many real-world problems mostly are imbalanced class distribution. …”
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15
Visualisation tool to study malaria transmission using network modelling
Published 2014“…In addition, the Hypertext Induced Topical Search (HITS) web search algorithm was adapted to implement a search engine, which uses the bipartite contact network as the input. …”
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Final Year Project Report / IMRAD -
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Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
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Research Reports -
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…Secondly, a modified πRKM algorithm is proposed to partition the user session data. …”
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Improvement DACS3 Searching Performance using Local Search
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An enhanced version of black hole algorithm via levy flight for optimization and data lustering problems
Published 2019“…The processes of retrieving useful information from a dataset are an important data mining technique that is commonly applied, known as Data Clustering. …”
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