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

炸壞

Discovering Sequential Rental Patterns by Fleet Tracking,ith 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.

aquatic

嚴(yán)厲批評(píng)

Supervised Object Boundary Detection Based on Structured Forests,m. 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.

暴行

3D Model-Based Food Traceability Information Extraction Framework,complete 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.

narcotic

潛伏期

A Vehicle Routing Problem with Time Windows for Attended Home Distribution,delivery 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.

OWL

Design of Personalized News Comments Recommendation System,ensional classification system and the personalized recommendation system of news comments, which aims to provide comments classification and personalized recommendation services. With this system, users will get a better users experience and get a comprehensive view of the news and comments with cheaper time cost.

蘑菇

Minimizing the Social Influence from a Topic Modeling Perspective,d KL divergence to analysis the influence and relevance from a topic modeling perspective. Then two topic-aware heuristics based on betweenness and out-degree for finding approximate solutions to this problem are proposed. Using two real networks, we demonstrate experimentally the high performance of the proposed models and learning schemes.

Mumble

A Study on Optimal Policy for Purchase Data Updating in ERP Systems,th 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.

Arb853