Search Results - (( java application path algorithm ) OR ( a estimation mining algorithm ))
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1
Expectation maximization clustering algorithm for user modeling in web usage mining system
Published 2009“…In this study we advance a model for mining of user’s navigation pattern. …”
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Article -
2
Tree-based contrast subspace mining method
Published 2020“…Those subspaces are termed as contrast subspaces. All existing mining contrast subspace methods (i.e. CSMiner and CSMiner-BPR) use density-based likelihood contrast scoring function to estimate the likelihood of a query object to target class against other class in a subspace. …”
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Thesis -
3
Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. …”
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4
Machine Learning Regression Approach for Estimating Energy Consumption of Appliances in Smart Home
Published 2024“…This paper attempts to use machine learning algorithms to estimate the energy consumption of appliances in a smart home environment. …”
Conference Paper -
5
Visdom: Smart guide robot for visually impaired people
Published 2025“…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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6
An application of IPA approach on the optimization of a mining port stockyard system
Published 2002“…In this research a stockyard system of a mining operation was analyzed using backward analysis. …”
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Proceeding Paper -
7
Data mining techniques for disease risk prediction model: A systematic literature review
Published 2023Conference Paper -
8
Using language-based search in mining large software repositories
Published 2011“…This paper highlights the data retrieval method for mining software from a vast open source software repository, SourceForge. …”
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Proceeding Paper -
9
Using language-based search in mining large software repositories
Published 2011“…This paper highlights the data retrieval method for mining software from a vast open source software repository, SourceForge. …”
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10
A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…In particular, the regional quantile estimates can provide a more accurate estimation compared to at-site quantile estimates using an appropriate statistical distribution.…”
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11
A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…In particular, the regional quantile estimates can provide a more accurate estimation compared to at-site quantile estimates using an appropriate statistical distribution.…”
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12
Datasets Size: Effect on Clustering Results
Published 2013“…The recent advancement in the way we capture and store data pose a serious challenge for data analysis. This gives a wider acceptance to data mining, being an interdisciplinary field that implements algorithm on stored data with a view to discovering hidden knowledge. …”
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Conference or Workshop Item -
13
A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…In particular, the regional quantile estimates can provide a more accurate estimation compared to at-site quantile estimates using an appropriate statistical distribution.…”
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14
A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…In particular, the regional quantile estimates can provide a more accurate estimation compared to at-site quantile estimates using an appropriate statisticaldistribution.…”
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15
Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
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Thesis -
16
Thematic textual hadith classification: an experiment in rapidminer using support vector machine (SVM) and naïve bayes algorithm
Published 2020“…However, in this paper, we are not concentrating on the such learning of estimating, confirming or authenticating a Hadith. …”
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17
Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
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Thesis -
18
Distribution and health risk assessment of trace metals in freshwater tilapia from three different aquaculture sites in Jelebu Region (Malaysia)
Published 2015“…The trace metal concentrations in edible muscle of red tilapia (Oreochromis spp.) sampled from a former tin mining pool, concrete tank and earthen pond in Jelebu were analysed with microwave assisted digestion-inductively coupled plasma-mass spectrometry. …”
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19
The discovery of Top-K DNA frequent patterns with approximate method / Nittaya Kerdprasop and Kittisak Kerdprasop
Published 2014“…We propose an approximate method based on the window sliding concept to estimate data density and obtain data characteristics from a small set of samples. …”
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20
Decision Support Approach to Computerize Maintenance Management System: Development and Implementation in Food Processing Industry
Published 2008“…In fact, these downtimes can be forecasted and managed more effectively if an organization takes preemptive measures using artificial intelligence techniques such as data mining, neural networks, genetic algorithm etc. This will provide good estimate to predict next failures. …”
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