@article {521,
	title = {A clustering with slope algorithm based on mapreduce},
	journal = {Journal of Digital Information Management},
	volume = {14},
	year = {2016},
	note = {Export Date: 22 February 2018},
	month = {2016},
	pages = {168 - 176},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982801686\&partnerID=40\&md5=59c334c0b1dd3e8b94a3cc75d5785e89},
	author = {Wang, Y. and Wu, H. and Liang, J. and Ou, J. and Huang, Y.}
}
@article {561,
	title = {Application of a New<inf>m</inf>Ant-Miner<inf>PR</inf>Algorithm in Classification Rule Mining},
	journal = {Journal of Digital Information Management},
	volume = {13},
	year = {2015},
	note = {Export Date: 22 February 2018},
	month = {2015},
	pages = {311 - 320},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959855322\&partnerID=40\&md5=063496b12a1e92c72d123e5a9f9044f3},
	author = {Yang, L. and Li, K.S. and Zhang, W.S. and Wang, Y. and Ke, Z.X.}
}
@article {409,
	title = {Research on management of mobile communication network centralized alarm},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {261 - 266},
	abstract = {This paper, starting from the level of mobile communication network alarm management, comes up with the alarm types and the six-stage model. The paper also discusses the step of recessive maintenance and management from the perspective of mobile communication in terms of the effective control of network alarms, and also extends the network equipment alarm logic correlation to the logical level of network equipment alarm correlation, at the same time, discusses the study and application of data mining algorithms in alarm correlation. Finally, the paper provides the plan for construction steps and function for stage target for the intelligent alarm analysis system.},
	keywords = {Alarm correlation, Alarm management, Centralized monitoring, Mobile communication network},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84888333439\&partnerID=40\&md5=95535069f8aee6f6ca3093cd7ac4d8c0},
	author = {Wang, Y. and Zhang, R.}
}
@article {397,
	title = {Research on the anti-perspective correction algorithm of QR barcode},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {202 - 206},
	abstract = {2-D (2-dimension) bar code has many advantages compared with 1-D bar code, so it has many prevalent applications in recent days. However, there{\textquoteright}re several factors that affecting the sampling process, they lead to a certain degree of deformation towards the 2-D bar code. Furthermore, this deformation may too severe for 2-D bar code to be recognized. Generally, the main stream of twisted image correcting is based on the approach of control-point transformation. So how to locate the control point accurately becomes a key factor in 2-D bar code correcting. This paper develops a QR barcode searching graph and gets the precise location of control point. Experiment shows that our algorithm has good efficiency and accuracy.},
	keywords = {Image correction, Line fitting, Perspective transformation, QR code, Searching graphics},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84880830674\&partnerID=40\&md5=4b80f450374df6601877d816dd4cc9af},
	author = {Li, J. and Wang, Y.-W. and Wang, Y. and Chen, Y. and Wang, G.}
}
