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bitmap
এফ- এস টাইপ
Dernière mise à jour : 2011-10-23
Fréquence d'utilisation : 1
Qualité :
x bitmap
এক্স বিটম্যাপgenericname
Dernière mise à jour : 2011-10-23
Fréquence d'utilisation : 1
Qualité :
for many machine learning methods, while dealing with classification, clustering, prediction, and association rules mining, counting the occurrences of given queries plays a crucial role. however, for large datasets, these methods, which have two steps, i.e., learning and sampling, become impractical due to excessive memory consumption and computational costs. therefore, this paper proposes a novel approach to handle the counting queries. the proposed method is an adaptive archive-based method that offers efficient achieving with reduced computational time and moderate memory requirements. we conduct numerous experiments to show the proposed approach's performance and scalability on random queries, learning probabilistic networks, and association rule mining. we see that our proposed method outperforms the recently proposed bitmap and radix strategies when applied to the datasets with higher dimensionality and arity and a large set of observations from experimental results.
আমরা ছোট স্কেল সমান্তরাল অ্যাপ্লিকেশন দিয়ে শুরু করি, যার প্রায় 230 টি কার্য রয়েছে। দুটি পরীক্ষা-নিরীক্ষা করা হয়েছিল, এবং প্রতিটিটির বিবরণ নিম্নলিখিত:
Dernière mise à jour : 2021-05-14
Fréquence d'utilisation : 1
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