Determines whether a schedule is conflict serializable along with it's precedence graph.
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Apr 27, 2018 - Java
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conflict-serializability
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GitHub repository showcasing Machine Learning code: KNN, KMeans, Random Forest, Decision Tree, Apriori, Conflict Serializable, Naive Bayes used for skin detection and UCI dataset evaluation to check accuracy. Extensively tested on reliable datasets like breast_cancer and iris, providing valuable insights for ML training and testing.
python random-forest clustering naive-bayes naive-bayes-classifier classification k-means knn decision-tree apriori-algorithm skin-detection conflict-serializability apriori-algorithm-python
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Jul 30, 2023 - Python
Find if CS or not. And if not then print ALL cycles in the graph.
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May 26, 2020 - Python
A Python tool to check if a given transaction schedule is conflict serializable. It analyzes the schedule, builds a dependency graph, detects cycles, and determines whether the schedule can be serialized. Supports input from Excel files and provides a graphical representation of the dependency graph
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Mar 11, 2025 - Python
This GitHub repository contains machine learning algorithms implemented in Python. The included algorithms cover a range of tasks, such as classification, clustering, association rule mining, and skin detection. The code is tested on reliable datasets like breast_cancer and iris, providing crucial insights and accuracy evaluation.
python machine-learning data-mining random-forest clustering machine-learning-algorithms naive-bayes-classifier classification kmeans decision-trees unsupervised-learning knn kmeans-clustering apriori-algorithm skin-detection conflict-serializability
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Oct 12, 2023 - Python
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