Generic Itemset Mining Based on Reinforcement Learning

One of the Salmon biggest problems in itemset mining is the requirement of developing a data structure or algorithm, every time a user wants to extract a different type of itemsets.To overcome this, we propose a method, called Generic Itemset Mining based on Reinforcement Learning (GIM-RL), that offers a unified framework to train an agent for extr

read more

Ecological strategies of biological and chemical control agents on wildfire disease of tobacco (Nicotiana tabacum L.)

Abstract Background To investigate the ecological effects of chemical and biological control methods on tobacco wildfire disease, a plot field experiment was Joggers conducted to compare the control efficiency and mechanisms of a chemical pesticide (kasugamycin wettable powder, KWP) and a biological control agent (BCA) through high-throughput seque

read more