Search Results - (( framework representation using algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Development of intelligent 3D solid modeler based on artificial intelligent technique
Published 2008“…The framework consists of neural network models for the reconstruction and the hybrid computing algorithm as representation scheme of the reconstructed solid. …”
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Monograph -
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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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Evaluation of Visual Network Algorithms on Historical Documents
Published 2020“…The framework has been used to evaluate three graph layout and three graph clustering algorithms on the historical SAGA dataset. …”
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Thesis -
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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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Conference or Workshop Item -
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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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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Genetic algorithm based ensemble framework for sentiment analysis
Published 2018“…Feature extraction produces various representations of plain text documents whereas feature selection selects the features that are useful and relevant to the classification task. …”
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Thesis -
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A flexible query transformation framework for structured retrieval / Gan Keng Hoon
Published 2013“…Lastly, experiments are carried out at the algorithm, application and representation levels on both synthetic and real world data sets to demonstrate the feasibility and scalability of the query transformation framework. …”
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Thesis -
11
Optimized feature construction methods for data summarizations of relational data
Published 2014“…The proposed framework involves the application of genetic algorithm which incorporates several feature scoring measures to optimize the process of feature construction. …”
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Thesis -
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DNA enhancer prediction using machine learning techniques with novel feature representation
Published 2016“…Technical contributions of this study are: 1) complex tree-feature modelling using genetic algorithm (CTreeGA): Automated feature generation framework to capture patterns of interactions among short DNA segments in histone sequences.…”
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Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms
Published 2018“…In the OGC framework, the exhibited explorative search behavior of the Gravitational Clustering (GC) algorithm has been addressed by (i) eliminating the agent velocity accumulation, and (ii) integrating an initialization method of agents using variance and median to subrogate the exploration process. …”
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Thesis -
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Edge assisted crime prediction and evaluation framework for machine learning algorithms
Published 2022“…In particular, this study proposes a crime prediction and evaluation framework for machine learning algorithms of the network edge. …”
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Conference or Workshop Item -
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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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Thesis -
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Deep plant: A deep learning approach for plant classification / Lee Sue Han
Published 2018“…Hitherto, the majority of computer vision approaches have been focused on designing sophisticated algorithms to achieve a robust feature representation for plant data. …”
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Thesis -
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Anomaly detection through spatio-temporal context modeling in crowded scenes
Published 2014“…The proposed framework essentially turns the anomaly detection process into two parts, namely, motion pattern representation and crowded context modeling. …”
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Conference or Workshop Item -
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A framework for multiple moving objects detection in aerial videos
Published 2019“…Ultimately, each region is labeled as either a background or foreground (object) using a proposed graph-coloring algorithm. Two datasets, namely (1) the DARPA-VIVID dataset and (2) self-captured videos using an unmanned aerial vehicle-mounted camera, have been used to validate the feasibility of MDMRBF. …”
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