Research of an Improved Association Rules for Mining Mass Pipe Data

Ke-hui LIU, Yang LI, Yan-xia WANG
2017 DEStech Transactions on Computer Science and Engineering  
Nowadays, accompany the enormous data from Internet and Website. Among which is the pipeline data from city cyber info. There're some relevance formula inherent in the pipeline info or pipeline data. These relevance formula can be divided into several types. This paper proposed and applied an alignment arithmetic models with increase progressively arithmetic named as FP4-DEEP. A reduction way is provided for the calculation of relation pipeline info by the correlation of inter-transaction list.
more » ... Test shows its validation and feasibility. In this paper, we will explain the arithmetic and its optimized model. The inherent and expedient novel info is able to be found, and novel model will be generated. Those formula found in pipeline data is capable of conceivable used as the comprehensive DSS methods.
doi:10.12783/dtcse/itme2017/7979 fatcat:lrrsbl63gzbghiabwolimfp6ji