Search Results - (( java implementation mining algorithm ) OR ( problem recommendation mining algorithm ))
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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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Thesis -
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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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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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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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A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.
Published 2009“…A variety of the recommender systems for online personalization through web usage mining have been proposed. …”
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Paper Survey And Example Of Collaborative Filtering Implementation In Recommender System
Published 2017“…Further research can provide newer algorithm to handle cold start problem and sparse data from both text mining and mining computation perspectives.…”
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…In order to tackle above problem, a modified algorithm for Web page recommendation is proposed. …”
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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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Using unique-prime-factorization theorem to mine frequent patterns without generating tree
Published 2011“…Conclusion/Recommendations: This algorithm is able to achieve low memory order at O(1) which is significantly better than FP-growth.…”
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Predicting Customer Buying Decisions for Online Shopping with Unbalanced Data Set
Published 2022“…One of the common e-commerce problems is the low purchase conversion rate. Data mining techniques can help tackle the problem by analysing and predicting the customer purchase intention to give better service and better recommendations to customers. …”
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A new classification model for online predicting users' future movements
Published 2008“…For this reason some techniques have been developed for predicting user’s future requests. Data manning algorithms can be applied to many prediction problems. …”
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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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Dropping down the maximum item set: improving the stylometric authorship attribution algorithm in the text mining for authorship investigation
Published 2010“…Conclusion/Recommendations: The new CV algorithm results improvement may lead to several new attributes usage that gave unsatisfying results before that might improve the direction for solving some hard cases couldn’t be solved till now.…”
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Intuitive content management system via manipulation and duplication with if-else rules classification
Published 2018“…An ICMS is a content management system that uses three main important techniques to build, such as Manipulation method, Data Mining Prediction, and Boyer-Moore Horspool algorithm. …”
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Clustering High Dimensional Data Using Subspace And Projected Clustering Algorithms
Published 2010“…Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. …”
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