Search Results - (( process learning graph algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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A Review on Attack Graph Analysis for IoT Vulnerability Assessment: Challenges, Open Issues, and Future Directions
Published 2024Subjects:Review -
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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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FROM IMAGE TO GRAPH-BASED DATA FOR PATH PLANNING
Published 2019“…This implementation of graph traversal, statistics and machine learning algorithms were a challenging part to be done. …”
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An improved directed random walk framework for cancer classification using gene expression data
Published 2020“…From the perspective of computing, an algorithm is developed to ease the diagnosis process, but the feasibility is not reliable. …”
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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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A Divide-and-Distribute Approach to Single-Cycle Learning HGN Network for Pattern Recognition
Published 2010“…Distributed Hierarchical Graph Neuron (DHGN) is a single-cycle learning distributed pattern recognition algorithm, which reduces the computational complexity of existing pattern recognition algorithms by distributing the recognition process into smaller clusters. …”
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A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection
Published 2022“…A decision-making integration framework based on hybrid process network synthesis and machine learning was presented in this study. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri
Published 2025“…This work presents a novel graph-based semi-supervised learning (GSSL) algorithm designed for wafer defect detection. …”
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DeMI interface tool for profit estimation and waste conversion technology recommendations in enhancing municipal solid waste management
Published 2024“…The DeMI Interface tool represents an innovative graphical user interface tool rooted in the Decision-Making Integration (DeMI) framework, offering decision makers a holistic approach within Process System Engineering (PSE). This state-of-the-art tool seamlessly combines process network synthesis and machine learning, using the Process Graph (P-graph) and the Waikato Environment for Knowledge Analysis (WEKA) software tools. …”
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Enhancing three variants of harmony search algorithm for continuous optimization problems
Published 2021“…A convergence rate graph is also used to show the overall performance of the new algorithms.…”
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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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Ontology enrichment with causation relations
Published 2014“…However it suffers from a lack of standards to define concepts, besides the lack of fully automatic knowledge acquisition methods. In performing this learning process, the discovery of non-taxonomic relationships has been identified as being the most difficult. …”
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Drone-based surveillance of palm tress ecosystems
Published 2024“…Analysis of experimental results demonstrates a rapid increase in accuracy to nearly 100% early in the training process, indicating efficient learning and classification capabilities of the model. …”
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Enhancement of network security by use machine learning
Published 2019“…From the analysis in the simulation results, one can see that the ANNDL is the best algorithm of machine learning process. This method uses many layers to compute or process the data. …”
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