Chinese herbal medicine is the material basis for the inheritance and development of Chinese medicine, and is a strategic resource related to the national economy and the peoples livelihood. Chinese herbal medicine in...Chinese herbal medicine is the material basis for the inheritance and development of Chinese medicine, and is a strategic resource related to the national economy and the peoples livelihood. Chinese herbal medicine industry is an important component of the great health industry. Yunnan is the region with the richest biodiversity in the same latitude in the world. Among them, the diversity and superiority of medicinal plants are prominent. Chinese herbal medicines are rich in varieties, high in quality, significant in geographical indications and huge in production capacity, which is an important support for Yunnan to build a world-class "three cards". However, as a biodiversity area, the innovation and development of Chinese herbal medicine resources in Yunnan are not enough, the industrial restructuring and aggregation are insufficient, and the industrial cluster with high correlation, long chain and multi engines has not yet been formed, and the development potential of its diversity and superiority is far from being released. To this end, we will carry out resource reorganization around the development of the Chinese herbal medicine industry, explore the development path of "museum + industrial cluster" of Chinese herbal medicine, integrate and link the three industries, build an "aircraft carrier" for the development of the whole industrial chain cluster, and promote the development of Yunnan Chinese herbal medicine into a 100 billion and trillion level health industry.展开更多
The similarity search is one of the fundamental components in time series data mining,e.g.clustering,classification,association rules mining.Many methods have been proposed to measure the similarity between time serie...The similarity search is one of the fundamental components in time series data mining,e.g.clustering,classification,association rules mining.Many methods have been proposed to measure the similarity between time series,including Euclidean distance,Manhattan distance,and dynamic time warping(DTW).In contrast,DTW has been suggested to allow more robust similarity measure and be able to find the optimal alignment in time series.However,due to its quadratic time and space complexity,DTW is not suitable for large time series datasets.Many improving algorithms have been proposed for DTW search in large databases,such as approximate search or exact indexed search.Unlike the previous modified algorithm,this paper presents a novel parallel scheme for fast similarity search based on DTW,which is called MRDTW(MapRedcuebased DTW).The experimental results show that our approach not only retained the original accuracy as DTW,but also greatly improved the efficiency of similarity measure in large time series.展开更多
文摘Chinese herbal medicine is the material basis for the inheritance and development of Chinese medicine, and is a strategic resource related to the national economy and the peoples livelihood. Chinese herbal medicine industry is an important component of the great health industry. Yunnan is the region with the richest biodiversity in the same latitude in the world. Among them, the diversity and superiority of medicinal plants are prominent. Chinese herbal medicines are rich in varieties, high in quality, significant in geographical indications and huge in production capacity, which is an important support for Yunnan to build a world-class "three cards". However, as a biodiversity area, the innovation and development of Chinese herbal medicine resources in Yunnan are not enough, the industrial restructuring and aggregation are insufficient, and the industrial cluster with high correlation, long chain and multi engines has not yet been formed, and the development potential of its diversity and superiority is far from being released. To this end, we will carry out resource reorganization around the development of the Chinese herbal medicine industry, explore the development path of "museum + industrial cluster" of Chinese herbal medicine, integrate and link the three industries, build an "aircraft carrier" for the development of the whole industrial chain cluster, and promote the development of Yunnan Chinese herbal medicine into a 100 billion and trillion level health industry.
基金supported in part by National High-tech R&D Program of China under Grants No.2012AA012600,2011AA010702,2012AA01A401,2012AA01A402National Natural Science Foundation of China under Grant No.60933005+1 种基金National Science and Technology Ministry of China under Grant No.2012BAH38B04National 242 Information Security of China under Grant No.2011A010
文摘The similarity search is one of the fundamental components in time series data mining,e.g.clustering,classification,association rules mining.Many methods have been proposed to measure the similarity between time series,including Euclidean distance,Manhattan distance,and dynamic time warping(DTW).In contrast,DTW has been suggested to allow more robust similarity measure and be able to find the optimal alignment in time series.However,due to its quadratic time and space complexity,DTW is not suitable for large time series datasets.Many improving algorithms have been proposed for DTW search in large databases,such as approximate search or exact indexed search.Unlike the previous modified algorithm,this paper presents a novel parallel scheme for fast similarity search based on DTW,which is called MRDTW(MapRedcuebased DTW).The experimental results show that our approach not only retained the original accuracy as DTW,but also greatly improved the efficiency of similarity measure in large time series.
