Liu Fen

TL;DR: The simulation results show that the method of mining the frequent itemsets can accurately reflect the characteristics of big data fusion clustering association rules mining, the convergence process is better, it can effectively extract the user interest all constrained association rules.

TL;DR: In this paper, a method for intelligently predicting a resource consumption trend of an application middleware database connection pool is proposed, which comprises the following steps: S1, dividing a history resource consumption data set A formed by N data elements into a plurality of sub-data sets, wherein the number of data in the sub-sets is the same as the number in the real-time data set B formed by M data elements, both N and M are positive integers and M is less than N; S2 and S3, carrying out trend prediction on the characteristic value vectors

TL;DR: In this article, the utility model provides a distribution transformer district inspection operation platform, where a storage battery is fixedly mounted at the bottom end in the machine body, a left lifter is fixed-ly installed on the left side of the machine, a right lifter was fixed-legged on the right side in the body, an operation table was fixedly installed at the top ends of the left and the right lifters, a support is fixede rt.

TL;DR: In this paper, an intelligent emergency processing information system based on scene adaptation is presented, which consists of an information system scene classification module, a script database customization module, and an emergency processing process customization module.