In this paper, we resolve the one-pass space complexity of perfect $L_p$ sampling for $p \in (0,2)$ in a stream. Given stream updates (insertions and deletions) to coordinates an underl...

At present, China exists a problem that the cost of food sampling inspection is too high. This paper attempts to reduce number items in same category, inspection, and improve work efficiency through association analysis national data. And this applies Apriori algorithm analyse rules, which based on unqualified pastry data 2019 database. Finally, we obtain 10 strong rules experiments. The result...

credit scoring is a classification problem leading to introducing numerous techniques to deal with it such as support vector machines, neural networks and rule-based classifiers. rule bases are the top priority in credit decision making because of their ability to explicitly distinguish between good and bad applicants.in a credit- scoring context, imbalanced data sets frequently occur as the nu...