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Microblog, Twitter, status messages, the classified information website and so on are experiencing explosive growth with the development of web2.0, people prefer to use short texts to express their intentions and activities. Yet, when people submit some requirements through short texts, they hope to get a feedback which can help them to solve their problems rather than relevant content. Sometimes...
Objective: To explore composing principles of prescriptions for chronic renal failure recorded on the Encyclopedia of Traditional Chinese Medicines based on the traditional Chinese medicine inheritance support system (TCMISS). Methods: Prescriptions for chronic renal failure recorded on the Encyclopedia of Traditional Chinese Medicines were entered into the TCMISS. Composing principles of these prescriptions...
Recommender system plays an important role in modern Electronic Commerce. An excellent recommender system is the key to make electronic commerce network run well. But now because of many reasons most recommend effects are not good enough. So a recommender system based on Improved K-means Clustering Algorithm (IKCA) is designed and implemented in this paper. The whole system includes user clustering...
This paper presents a novel ant-based clustering algorithm. Different from conventional ant-based clustering algorithms in which the objects are picked up or dropped down by virtual ants, our propose algorithm looks each object as an ant. The objects are first projected to a plane randomly. Then an attractive force field is created. The object (ant) is attracted by the similar ones in its local surrounding...
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