بدائل البحث:
complement complex » complement component (توسيع البحث), complement components (توسيع البحث)
complex algorithm » component algorithm (توسيع البحث), kepler algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
mining algorithm » finding algorithm (توسيع البحث), making algorithm (توسيع البحث), training algorithms (توسيع البحث)
based mining » based binding (توسيع البحث), based training (توسيع البحث), based imaging (توسيع البحث)
complement complex » complement component (توسيع البحث), complement components (توسيع البحث)
complex algorithm » component algorithm (توسيع البحث), kepler algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
mining algorithm » finding algorithm (توسيع البحث), making algorithm (توسيع البحث), training algorithms (توسيع البحث)
based mining » based binding (توسيع البحث), based training (توسيع البحث), based imaging (توسيع البحث)
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Framework diagram of multi-visual pattern mining algorithm based on VIGMM.
منشور في 2025"…<p>Framework diagram of multi-visual pattern mining algorithm based on VIGMM.</p>…"
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AUW-CE Mining Algorithms & Dataset Hub
منشور في 2025"…<p dir="ltr">High Utility Co-location Pattern Mining (HUCPM), as an important branch of spatial data mining, aims to extract patterns with utility values that meet or exceed a predefined threshold based on user-defined utility criteria (e.g., cost, profit). …"
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Results of association rule mining.
منشور في 2025"…<div><p>In the new model of China’s dual-circulation economy, the opening-up and deepening of financial markets have imposed higher requirements on the risk management capacity of financial institutions, with the issue of loan customers losing contact and defaulting becoming an urgent concern. Based on desensitized samples of lost-linking customers (with multidimensional features such as communication behavior and loan qualifications), this study uses the FP-Growth algorithm to systematically mine association rules between loss-of-contact features and three modes: “Hide and Seek”, “Flee with the Money”, and “False Disappearance”, providing effective risk management strategies for financial institutions. …"
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Results of frequent itemset mining.
منشور في 2025"…<div><p>In the new model of China’s dual-circulation economy, the opening-up and deepening of financial markets have imposed higher requirements on the risk management capacity of financial institutions, with the issue of loan customers losing contact and defaulting becoming an urgent concern. Based on desensitized samples of lost-linking customers (with multidimensional features such as communication behavior and loan qualifications), this study uses the FP-Growth algorithm to systematically mine association rules between loss-of-contact features and three modes: “Hide and Seek”, “Flee with the Money”, and “False Disappearance”, providing effective risk management strategies for financial institutions. …"
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