Search Results - (( java application mining algorithm ) OR ( user validation using algorithm ))
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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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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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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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HAPTIC VISUALIZATION USING VISUAL TEXTURE INFORMATION
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Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi
Published 2017“…Testing of the application are using 10-Fold Cross Validation technique. 90% of the data be used as a training and another 10% be used for the testing part. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Prediction of Machine Failure by Using Machine Learning Algorithm
Published 2019“…The columns consist of the variables that record the reading of machine sensor tags. Validation for the model is analyzed by using validation testing data and cross validation. …”
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Final Year Project -
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Effects of user selected conditions on modeling of dynamic systems using adaptive fuzzy model
Published 2001“…The correlation based model validity tests are used to validate the identified fuzzy model.…”
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User-Device Authentication Model With Digital Certificate For Smartphone User
Published 2024thesis::master thesis -
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Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan
Published 2024“…Cross-validation techniques are employed to validate the model's performance and ensure robustness. …”
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Outdoor User Location over 802.11 Ad-hoc Network
Published 2006“…At the end of this work, the site testing has validated that this algorithm can be used to determine the user location in outdoor environment with considerable accuracy.…”
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Final Year Project -
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Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory
Published 2011“…A user-friendly Graphical User Interface (GUI) is developed using Microsoft Visual Basic software to load and display the algorithm under test and display the result. …”
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Text Extraction Algorithm for Web Text Classification
Published 2010“…A text extraction prototype is built using Visual C# 2008 to validate the algorithm. It is a windows application mixed with web connection protocol. …”
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Automatic generation of user-defined test algorithm description file for memory BIST implementation
Published 2022“…It can be used by implementing a standard testing algorithm available in the EDA tool library or a user-defined algorithm (UDA). …”
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Applying empirical thresholding algorithm for a keystroke dynamics based authentication system
Published 2019“…The password training database for each user is constructed using the extracted features. …”
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New filtering framework for web personalization search / Anitawati Mohd Lokman and Aishah Ahmad
Published 2012“…This shows that search engine will rank pages using general user's interest, and neglect the aspect of personalization involving user's interest. …”
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Research Reports -
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Influence maximisation towards target users on social networks for information diffusion
Published 2018“…Influence maximisation has been an area of active research in recent years.This study aims to extend the fundamental influence maximisation problem (IMP) with respect to a set of target users on a social network.It is important to aim at the target users to speed up the rate of information diffusion and reduce the information diffusion cost.In doing so, the MITU algorithm was formulated and compared with state of the art algorithms.Publicly available datasets were used in validating the proposed algorithm.It was found that the MITU identified all target nodes while significantly lowering the information diffusion cost function (IDCF) by up to 79%.The influence overlap problem was equally identified in the heuristic algorithm where the seed set size was reduced by an average of six times.Furthermore, the random influencer selection identifies target nodes better than the betweenness and PageRank centralities.The findings could help organisations to reach target users on social media in the shortest cycle.…”
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