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Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to analyze the problem of abnormal parameters in the process of using the cloud server, the process of parameter data acquisition? data cleaning, and effective analysis of the cloud server is introduced. Aiming at the problems that the conditional FP-tree construction process is too redundant and the larger amount of data causes lower processing efficiency in the existing FP-Growth algorithm, an improved FP-Growth algorithm is proposed. It introduces the array tagging strategy, and each FP-tree node retains only pointers to the parent node. It does not need to generate a conditional FP-tree during the mining process, thus reducing time and space consumption. Experimental results show that the improved FP-Growth parallel algorithm can effectively improve the correlation analysis efficiency of abnormal data of cloud platform virtual machines? and is also suitable for data mining of large-scale data sets. [ABSTRACT FROM AUTHOR]

Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Research & Exploration in Laboratory is the property of Research & Exploration in Laboratory and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)