With the advent of era big data, problem information overload has become particularly serious.The recommendation system can provide personalized services for users by analyzing users' basic and behavior information.How to push accurately efficiently an urgent issue in data.Based on Alternating Least Squares (ALS) collaborative filtering algorithm, this paper reduces loss invisible factor item attribute merging similarity function.At same time, cold start strategy is introduced into model...

In this paper, we have integrated fuzzy logic in the formal context, developing concept analysis to support automatic generation of primitive ontology that can deal with uncertain information. The proposed approach consists following steps: first, concepts are created through context; then, decision rules from generated obtained using implicative relations between two lattices; and next, Fuzzy clustering is adopted promote hierarchy lattice; finally, a constructed according structure. A...

Nowadays, communication networks are becoming increasingly complex. This paper aims to demonstrate an effective method achieve the intelligent planning for network base stations (BSs). The various parameters such as BS coordinates (x, y), collaboration of multiple types BS, and density construction taken design placement. We construct objective function using lowest total cost minimum workload 90%. To solve problem siting with large data volume mixed placement we propose a new practical...

It is difficult to effectively extract costume elements from the national image because structure of images complex and gray distribution irregular.Therefore, in this paper, a novel algorithm was proposed for extraction using mathematical morphology method element internal filling external pruning.An improved region growing segmentation dynamically calculate mean variance seed regions as growth parameters.According dispersion, seeds were divided into three kinds them enter target which need...

Extracting valuable information from ethnic cultural resources is the key to current data mining research on resources.The K-means algorithm can effectively process large-scale sets due simple and efficient iterative calculations.The uncertainty of kvalue affects efficiency accuracy algorithm.The particle swarm optimization (PSO) global coarse-grained search quickly determine k-value cluster center, while retrieval low.In order solve problem initial clustering center low PSO algorithm, this...

Frequency hopping spread spectrum and direct sequence are two main coding technologies. sequences needed in FH-CDMA systems. In this paper, a construction of optimal sets frequency is presented. The based on the set-theoretic characterization an set FH sequences.

Fuzzy clustering can express the ambiguity ofsample category, and better reflect actual needs of datamining. By introducing wavelet transform artificial immunealgorithm to fuzzy clustering, Wavelet-based Immune C-means Algorithm (WIFCM) is proposed for overcoming theimperfections such as falling easily into localoptimal solution, slower convergence speed initialization-dependence centers. Innovations WIFCM arethe elite extraction operator descent reproductive mode.Using locality...