Search Results - (( java implementation cell algorithm ) OR ( using active mining algorithm ))
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A web usage mining approach based on LCS algorithm in online predicting recommendation systems
Published 2008“…Advanced mining processes are needed for this knowledge to be extracted, understood and used. …”
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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 Web-Based Recommendation System To Predict User Movements Through Web Usage Mining
Published 2009“…In the online phase, the longest common subsequence algorithm is used as a new approach in recommendation system for classifying current user activities to predict user next movements. …”
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Thesis -
4
A collaborative filtering recommender system for infrequently purchased product using slope-one algorithm and association rule mining
Published 2015“…This project implement the collaborative filtering using slope-one algorithm and also implement association rule mining in recommending hotels for tourist. …”
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A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.
Published 2009“…The approach is based on the using longest common subsequence algorithm to classify current user activities to predict user next movement. …”
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Evaluation and optimization of frequent association rule based classification
Published 2014“…Works on sustaining the interestingness of rules generated by data mining algorithms are actively and constantly being examined and developed. …”
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…To date, many works have been addressed in investigating the use of data mining techniques (e.g., Clustering) in Web page application. …”
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WebPUM : a web-based recommendation system to predict user future movements.
Published 2010“…Furthermore, longest common subsequence algorithm is used for classifying current user activities to predict user next movement. …”
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Mining Web usage using FRS
Published 2018“…A mining algorithm is introduced using the approach of vertical database. …”
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Proceeding Paper -
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Classification of students' performance in computer programming course according to learning style
Published 2024Conference Paper -
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The power of engagement: understanding active social media engagement and the impact on sales in the hospitality industry / Tasha Peter
Published 2022“…Additionally, the study uses text mining algorithms to find the most successful usage of social media platforms, providing a recipe for success. …”
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Book Section -
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A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition
Published 2012“…Our earlier research has shown that data from mobile-phone embedded accelerometer can be used for activity recognition purpose [1]. As a continuation of the research towards the search for a suitable and reliable algorithm for real-time activity recognition using mobile phone, an evaluation and comparison study of the performance of seven different categories of classifier algorithms in classifying user activities were conducted. …”
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Activity recognition based on accelerometer sensor using combinational classifiers
Published 2015“…The aim of this study is to evaluate the performance of recognition the six activities using ensemble approach. Publicly accelerometer dataset obtained from Wireless Sensor Data Mining (WISDM) lab has been used in this study. …”
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Conference or Workshop Item -
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An application of Malay short-form word conversion using levenshtein distance
Published 2020“…While for the conversion algorithm, Levenshtein Distance (LD) is used to measure the similarity. …”
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Association Rule Mining Using Market Basket Analysis
Published 2003“…Market Basket Analysis (MBA) is one of data mining techniques thut can be used in marketing strategy. …”
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Profiling network traffic of Sultan Idris Shah building (BSIS) using data mining technique / Rusmawati Ishak
Published 2018“…Orange is a tool that being used in implementing K-Means Clustering Algorithm that could be seen as the most suitable solution to find a network trend pattern of user accessing the Internet and to produce with profiling network. …”
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Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model
Published 2018“…EM and K-means clustering algorithms are used to cluster the multi-class classification attribute according to its relevance criteria and afterward, the clustered attributes are classified using an ensemble random forest classifier model. …”
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Analysis of Feature Selection Methods for Sentiment Analysis Concerning Covid-19 Vaccination Issues
Published 2023“…Sentiment analysis is one of the most active research areas in natural language processing, data mining, information retrieval, and web mining. …”
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