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41
A Scatter search algorithm for exam scheduling. (c2006)
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masterThesis -
42
Correlation Clustering via s-Club Cluster Edge Deletion
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masterThesis -
43
A New Penalty Function Algorithm For Convex Quadratic Programming
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45
Indexing Arabic texts using association rule data mining
Published 2019“…The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. Design/methodology/approach The proposed model uses an association rule algorithm for extracting frequent sets containing related items – to extract relationships between words in the texts to be indexed with words from texts that belong to the same category. …”
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46
A fast exact sequential algorithm for the partial digest problem
Published 2016“…Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. …”
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47
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
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48
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
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49
Using genetic algorithms to optimize software quality estimation models
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masterThesis -
50
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
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doctoralThesis -
51
Use of Data Mining Techniques to Detect Fraud in Procurement Sector
Published 2022“…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …”
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The buffered work-pool approach for search-tree based optimization algorithms
Published 2017“…Department of Energy (Office of Advanced Scientific Computing Research, Office of Science). The work of N. F. Samatova was also sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory. …”
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A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text
Published 2019“…The previously published research on Arabic ontology learning from text falls into three categories: developing manually hand-crafted rules, using ordinary supervised/unsupervised machine learning algorithms, or a hybrid of these two approaches. …”
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XBeGene: Scalable XML Documents Generator by Example Based on Real Data
Published 2012“…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …”
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conferenceObject -
58
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
Published 2019“…To solve it, we first propose the high-complexity branch, reduce and bound (BRB) algorithm to find the global optimal solution for relatively small scale scenarios. …”
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59
The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
Published 2023“…One of the prominent challenges lies in the presence of barren plateaus (BP) in QML algorithms, particularly in quantum neural networks (QNNs). …”
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A data envelopment analysis model for opinion leaders’ identification in social networks
Published 2024“…The graph-based methods are one of the most important approaches for finding OLs in OSNs. Social Network Analysis (SNA)-based OLs finding methods deal with a considerable amount of data due to using entire relationships between all of the users in a network, which makes the algorithms time-consuming. …”