Titlebook: Data Science; Second International Chengqi Zhang,Wei Huang,Jing He Conference proceedings 2015 Springer International Publishing Switzerlan

蜈蚣

https://doi.org/10.1007/978-1-4020-9143-8th traditional fixed interval policies with real-life enterprise data. The comparison results show the proposed updating policy outperforms the fixed interval policies and can be applied to enterprises when updating ERP systems.

拱形面包

Valerie Purchase,Glenn Parry,John Millson from Aerosol Optical Depth (AOD) data; (ii) training such a multi-view model for robust performance across multiple satellite measures; and (iii) the model for incomplete data avoids direct imputation of the missing elements. Experimental results on real-world data sets show that it significantly outperforms the existing approaches.

妨礙議事

誰在削木頭

Rachel Cuthbert,Duncan McFarlane,Andy Neelyith the fleet tracking factors. A novel sequential pattern mining framework is designed to detect the effective items by utilizing both business transactions and fleet tracking information. Experimental results on real datasets testify the effectiveness of our approach.

性學院

灌輸

Antonio Fasano,F. Talamucci,M. Petraccom. Various experiment results show that our framework outperforms the competing models in the proposed data set, indicating that our framework is highly effective in modeling boundary for specific type of objects.

expository

Alexander Morozov,Saverio E. Spagnoliecomplete traceability information for the target object. According to the experimental results, the proposed method can efficiently extract useful traceability information for a video surveillance system.

overreach

Theory of Locomotion Through Complex Fluidsto MapReduce which has to load data in each iteration. The experiments are carried out on massive remote sensing data using multi-iteration singular value decomposition (SVD) algorithm. The results show that Spark-based SVD can obtain significantly faster computation timethan that by MapReduce, usually by one order of magnitude.

conservative

Bernd Fritzsche,Bernd Kirstein,Conrad M?dlerdelivery destinations designated by customers, who are associated with time windows and vehicles with capacity. We then propose a Genetic Algorithm (GA) method. Experimental results show that the proposed approach is highly feasible and very potential in dealing with the present order fulfillment problem.

Mucosa

,A Friend Recommendation System Using Users’ Information of Total Attributes,d that superior performance the proposed method. In our empirical studies, we have observed that the performance of our algorithm is related with the number of user’s friends. Our findings have important and practical applications in social network design and performance.