Based on the ideas and framework of Mechanism Design Theory, the paper establishes model analysis on the differences rural financial demands and the choices of hierarchical supply behaviors, studies the relevant varia...Based on the ideas and framework of Mechanism Design Theory, the paper establishes model analysis on the differences rural financial demands and the choices of hierarchical supply behaviors, studies the relevant variables constraints choices on the rural financial supply and demand behavior, and thus presents a further improvement of the rural financial market variables, promotes the matching efficiency behavior selection between rural financial supply and demand, improves efficiency of the rural financial markets, strengthens financial supports for agriculture, rural areas and farmers.展开更多
In this paper, we target a similarity search among data supply chains, which plays an essential role in optimizing the supply chain and extending its value. This problem is very challenging for application-oriented da...In this paper, we target a similarity search among data supply chains, which plays an essential role in optimizing the supply chain and extending its value. This problem is very challenging for application-oriented data supply chains because the high complexity of the data supply chain makes the computation of similarity extremely complex and inefficient. In this paper, we propose a feature space representation model based on key points,which can extract the key features from the subsequences of the original data supply chain and simplify it into a feature vector form. Then, we formulate the similarity computation of the subsequences based on the multiscale features. Further, we propose an improved hierarchical clustering algorithm for a similarity search over the data supply chains. The main idea is to separate the subsequences into disjoint groups such that each group meets one specific clustering criteria; thus, the cluster containing the query object is the similarity search result. The experimental results show that the proposed approach is both effective and efficient for data supply chain retrieval.展开更多
文摘Based on the ideas and framework of Mechanism Design Theory, the paper establishes model analysis on the differences rural financial demands and the choices of hierarchical supply behaviors, studies the relevant variables constraints choices on the rural financial supply and demand behavior, and thus presents a further improvement of the rural financial market variables, promotes the matching efficiency behavior selection between rural financial supply and demand, improves efficiency of the rural financial markets, strengthens financial supports for agriculture, rural areas and farmers.
基金partly supported by the National Natural Science Foundation of China(Nos.61532012,61370196,and 61672109)
文摘In this paper, we target a similarity search among data supply chains, which plays an essential role in optimizing the supply chain and extending its value. This problem is very challenging for application-oriented data supply chains because the high complexity of the data supply chain makes the computation of similarity extremely complex and inefficient. In this paper, we propose a feature space representation model based on key points,which can extract the key features from the subsequences of the original data supply chain and simplify it into a feature vector form. Then, we formulate the similarity computation of the subsequences based on the multiscale features. Further, we propose an improved hierarchical clustering algorithm for a similarity search over the data supply chains. The main idea is to separate the subsequences into disjoint groups such that each group meets one specific clustering criteria; thus, the cluster containing the query object is the similarity search result. The experimental results show that the proposed approach is both effective and efficient for data supply chain retrieval.
