Performance Management of Demand and Pressure Driven Analysis in a Monitored Water Distribution Network

Bonora, Marco Amos; Carini, Manuela; Capano, Gilda; Cotrona, Rocco; Pantusa, Daniela; Sousa, Joaquim; Maiolo, Mario

doi:10.1007/978-3-030-39081-5_43

Cited by 1 publication

(1 citation statement)

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“…Since online education has diverse forms and flexible teaching methods, the methods for examining the learning results of learners are relatively complicated [1][2][3][4]. Especially for English online tests, problems such as the massive volume of questions, the many and various question types, the heavy workload of test score statistics, and the low score query efficiency, are all issues demanding prompt solutions [5][6][7][8]. Building English online test results management systems can ensure the fairness of the test, guarantee the accuracy and safety of the test results, and reduce the consumption of manpower and materials [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Use of Data Mining Technologies in an English Online Test Results Management System

Chen

Yu²

2021

Int. J. Emerg. Technol. Learn.

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The systematic management of English online test results can ensure the fairness of the test, guarantee the accuracy and safety of the test results, and reduce the consumption of manpower and materials. Unfortunately, the existing data mining and management strategy for learner scores cannot track the learning process or score change of learners. This paper innovatively applies the trajectory data mining technology to the design of an English online process test results management system. After analyzing the functional requirements of the system, four basic information lists were constructed in SQL Server 2005. Then, an improved k-means clustering algorithm and the trajectory frequent pattern mining algorithm were combined to cluster the test results and analyze the learning trajectory deviation of the learners. Next, the four system functions were detailed, including login, entry of test results, trajectory setting, and deviation analysis. The effectiveness of our algorithm, and the performance of our system were fully verified through experiments.

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