Search Results - (( leave application mining algorithm ) OR ( its implication scheduling algorithm ))
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A web usage mining approach based on LCS algorithm in online predicting recommendation systems
Published 2008“…Online prediction is one Web Usage Mining application. However, the accuracy of the prediction and classification in the current architecture of predicting users' future requests systems can not still satisfy users especially in huge Web sites. …”
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A hybrid genetic-heuristic algorithm for scheduling of automated guided vehicles and quay cranes in automated container terminals
Published 2009“…The results showed that proposed genetic algorithm can be used in practical implications while its running time is reasonably low.…”
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An extended ID3 decision tree algorithm for spatial data
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Optimization of hybrid flow shop scheduling in a machine shop: Achieving energy efficiency and minimizing machine idleness with multi-objective Tiki Taka optimization
Published 2025“…Overall, the findings have important implications for Hybrid flow shop scheduling in terms of the energy utilization model, reducing idle machine time, and the promising potential of MOTTA for application in other combinatorial scheduling challenges. …”
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Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants
Published 2019“…Information about chili pests is collected so that it becomes a database that can be used to identify disease pests using the data mining method. The use of data mining algorithms is expected to help in the identification of pests and diseases in chili plants. …”
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Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…This study describes the application of data mining technique namely decision tree on forest fires data. …”
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Modeling forest fires risk using spatial decision tree
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Hotspot occurences classififcation using decision tree method: case study in the Rokan Hilir, Riau Province, Indonesia
Published 2010“…Application of geospatial and data mining techniques in forest fires research have resulted interesting and useful information in decision making related to the forest fires management. …”
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