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The Research On Maintenance Quality Improvement Of LTE Network Based On Data Mining

Posted on:2017-02-01Degree:MasterType:Thesis
Country:ChinaCandidate:P GaoFull Text:PDF
GTID:2308330488484033Subject:Business administration
Abstract/Summary:PDF Full Text Request
The traditional base station fault processing mode is based on the experience of experts to determine and position, and the experience of experts are also in the long-term work practice has accumulated. With the gradual expansion of the scale of construction of LTE, the network number of alarms also showed impressive growth trend, according to the statistics of Ningxia mobile a LTE network month were alarm 50000 strips. So huge alarm data, the traditional fault processing mode is no longer efficient, how to quickly summarize the experience of fault location has become increasingly important.This article is based on solving the problems existing in the work of relevant research start to explore the by the LTE network in large amount of alarm data as the source of continuous mining summarizes and generalizes the fault location of the association rule, and combined with the output of data mining results to develop effective quality improvement plan, in addition to the use of quality management processes to monitor the efficient implementation of the comprehensive maintenance, and ultimately achieve improve the LTE network maintenance of the quality of the research target. This paper studied the principle of decision tree algorithm of data mining and use of special mining software simulation process of the mining activities, from the data ready to start to knowledge representation so far, the whole operation process strictly according to the steps of data mining, aiming at the characteristics of the current network alarm data with the help of SPSS Clementine data mining tools for the entire simulation. In the process of data mining, the model and the conclusion are selected. The paper also makes a series of analysis and elaboration on the model evaluation and knowledge. The end with the help of knowledge mining and the alarm data statistical analysis made the decision to deal with some key problems, in view of the main body of the concrete implementation is Ningxia mobile business outsourcing unit. Therefore, applying some management measures to facilitate efficient execution. Somehow, the oriented position specific work with related research results of specific practice activities are carried out. Results also prove changed the course of the study in the work made the harvest at the same time also fully confirmed the value of this study.
Keywords/Search Tags:Data Mining, Network Maintenance, Comprehensive maintenance
PDF Full Text Request
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