Search Results - (( developing identification tree algorithm ) OR ( java application mining 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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Article -
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A Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment
Published 2024Proceedings Paper -
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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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Final Year Project / Dissertation / Thesis -
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Improved random forest for feature selection in writer identification
Published 2015“…It involved Classification and Regression Tree (CART) during the development of tree. Important features are measured by using Variable Importance (VI). …”
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Tree-based contrast subspace mining method
Published 2020“…The research works involve first preparing the real world numerical and categorical data sets. Then, the tree-based method, the genetic algorithm based parameter values identification of tree-based method, and followed by the genetic algorithm based tree-based method, for numerical data sets are developed and evaluated. …”
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Investigating optimal smartphone placement for identifying stairs movement using machine learning
Published 2023“…The data was trained against 6 machine learning algorithms namely Decision Tree, Logistic Regression, Naive Bayes, Random Forest, Neural Networks and KNN. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Rapid lard identification with portable electronic nose
Published 2017“…This paper signifies the capability of our developed electronic nose in rapid lard identification. …”
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Proceeding Paper -
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Rapid lard identification with portable electronic nose
Published 2017“…This paper signifies the capability of our developed electronic nose in rapid lard identification. …”
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Detection of multiple mangoes using histogram of oriented gradient technique in aerial monitoring
Published 2016“…The project uses shape identification algorithm and Histogram of Oriented Gradient principle to detect and count the total number of mango on its tree using a quad copter with an attachable webcam. …”
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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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Identification Of Flow Blockage Levels In Centrifugal Pump By Machine Learning
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Monograph -
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Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan
Published 2020“…In the modeling phase, amongst all DM algorithms, the applicability of machine learning, artificial intelligence and statistical data mining techniques were examined using Support Vector Machine (SVM), Artificial Neural Network (ANN) and Classification and Regression Tree (CART) to detect the hidden patterns in vibration data. …”
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Comparative study of informative acoustic features for VTOL UAV faulty prediction using machine learning
Published 2025“…This paper will focus on developing fault detection and identification using audio data of different propeller conditions. …”
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Article -
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Crown counting and mapping of missing oil palm tree using airborne imaging system
Published 2019“…The overall accuracy of counting existing oil palm trees using the approach developed in this study is 93.3% while missing trees detection gives the detection accuracy of 89.2%. …”
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Complex word identification model for lexical simplification in the Malay language for non-native speakers
Published 2023“…This study consists of three modules, i) A Malay CWI dataset, ii) Malay CWI features with the new enhanced stemmer rules, and iii) A CWI model based on the Gradient Boosted Tree (GB) algorithm. The model is evaluated based on a state-of-the-art Malay corpus. …”
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