In order to promote the exchange and cooperation of Chinese medicine among the states and regions globally and fasten the step of Chinese medicine to the world, the World Federation of Chinese Medicine Societies (WF...In order to promote the exchange and cooperation of Chinese medicine among the states and regions globally and fasten the step of Chinese medicine to the world, the World Federation of Chinese Medicine Societies (WFCMS) has set up an award for those who have greatly contributed to medical treatment, education, scientific research of Chinese medicine, and the establishment of the statutory registration of Chinese medicine.展开更多
Thirteen Professional Committees of World Federation of Chinese Medicine Societies (WFCMS) have beenrecently approved and issued licenses by the Ministry of Civil Affairs of P.R China, and have begun to rungradually.W...Thirteen Professional Committees of World Federation of Chinese Medicine Societies (WFCMS) have beenrecently approved and issued licenses by the Ministry of Civil Affairs of P.R China, and have begun to rungradually.WFCMS is an international professional organization of traditional Chinese medicine. About 120 Chinesemedicine societies from 44 countries and regions have joined the organization with more than 7000 overseasmembers. It is an important part of WFCMS organizational construction to set up professional committees.展开更多
Experts and colleagues:Traditional Chinese Medicine(TCM)contains profound scientific connotation and has great potential to lead the future development of life science.In order to promote the development of science an...Experts and colleagues:Traditional Chinese Medicine(TCM)contains profound scientific connotation and has great potential to lead the future development of life science.In order to promote the development of science and technology of TCM all over the world,the World Federation of Chinese Medicine Societies(WFCMS)will convene the World Conference on Science and Technology of TCM in early December 2018.In the same period,the inaugural meeting of Science and Technology Development Committee of WFCMS will be held.展开更多
We combine the web usage mining and fuzzy clustering and give the concept of web fuzzy clustering, and then put forward the web fuzzy clustering processing model which is discussed in detail. Web fuzzy clustering can ...We combine the web usage mining and fuzzy clustering and give the concept of web fuzzy clustering, and then put forward the web fuzzy clustering processing model which is discussed in detail. Web fuzzy clustering can be used in the web users clustering and web pages clustering. In the end, a case study is given and the result has proved the feasibility of using web fuzzy clustering in web pages clustering. Key words web mining - web usage mining - web fuzzy clustering - WFCM CLC number TP 391 Foundation item: Supported by the National Natural Science Foundation of China (90104005)Biography: LIU Mao-fu (1977-), male, Ph. D candidate, research direction: artificial intelligence, web mining, image mining.展开更多
To improve the computational performance of the fuzzy C-means(FCM)algorithm used in dataset clus-tering with large numbers,the concepts of the equivalent samples and the weighting samples based on eigenvalue distribut...To improve the computational performance of the fuzzy C-means(FCM)algorithm used in dataset clus-tering with large numbers,the concepts of the equivalent samples and the weighting samples based on eigenvalue distribution of the samples in the feature space were intro-duced and a novel fast cluster algorithm named weighted fuzzy C-means(WFCM)algorithm was put forward,which came from the traditional FCM algorithm.It was proved that the cluster results were equivalent in dataset with two different cluster algorithms:WFCM and FCM.Furthermore,the WFCM algorithm had better computational performance than the ordinary FCM algorithm.The experiment of the gray image segmentation showed that the WFCM algorithm is a fast and effective cluster algorithm.展开更多
文摘In order to promote the exchange and cooperation of Chinese medicine among the states and regions globally and fasten the step of Chinese medicine to the world, the World Federation of Chinese Medicine Societies (WFCMS) has set up an award for those who have greatly contributed to medical treatment, education, scientific research of Chinese medicine, and the establishment of the statutory registration of Chinese medicine.
文摘Thirteen Professional Committees of World Federation of Chinese Medicine Societies (WFCMS) have beenrecently approved and issued licenses by the Ministry of Civil Affairs of P.R China, and have begun to rungradually.WFCMS is an international professional organization of traditional Chinese medicine. About 120 Chinesemedicine societies from 44 countries and regions have joined the organization with more than 7000 overseasmembers. It is an important part of WFCMS organizational construction to set up professional committees.
文摘Experts and colleagues:Traditional Chinese Medicine(TCM)contains profound scientific connotation and has great potential to lead the future development of life science.In order to promote the development of science and technology of TCM all over the world,the World Federation of Chinese Medicine Societies(WFCMS)will convene the World Conference on Science and Technology of TCM in early December 2018.In the same period,the inaugural meeting of Science and Technology Development Committee of WFCMS will be held.
文摘We combine the web usage mining and fuzzy clustering and give the concept of web fuzzy clustering, and then put forward the web fuzzy clustering processing model which is discussed in detail. Web fuzzy clustering can be used in the web users clustering and web pages clustering. In the end, a case study is given and the result has proved the feasibility of using web fuzzy clustering in web pages clustering. Key words web mining - web usage mining - web fuzzy clustering - WFCM CLC number TP 391 Foundation item: Supported by the National Natural Science Foundation of China (90104005)Biography: LIU Mao-fu (1977-), male, Ph. D candidate, research direction: artificial intelligence, web mining, image mining.
文摘To improve the computational performance of the fuzzy C-means(FCM)algorithm used in dataset clus-tering with large numbers,the concepts of the equivalent samples and the weighting samples based on eigenvalue distribution of the samples in the feature space were intro-duced and a novel fast cluster algorithm named weighted fuzzy C-means(WFCM)algorithm was put forward,which came from the traditional FCM algorithm.It was proved that the cluster results were equivalent in dataset with two different cluster algorithms:WFCM and FCM.Furthermore,the WFCM algorithm had better computational performance than the ordinary FCM algorithm.The experiment of the gray image segmentation showed that the WFCM algorithm is a fast and effective cluster algorithm.