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Traditional Chinese medicine (TCM) is a holistic medical approach and the formula's composition discipline is still a mystery. Detecting a formula's structure and herb communities/clusters in TCM Formula networks (TCMF) is a mainly existing problem in data mining of the data sets. In this paper, we devise a novel community similarity calculating method in the process of clustering, which is called...
The vigorous growth of big data has triggered both opportunities and challenges in business and industry. However, Web big data distributed in diverse sources with multiple data structures frequently conflict with each other, i.e. inconsistency in cross-source Web big data. In this paper, we propose a state-of-the-art architecture of auto-discovering inconsistency with Web big data. Our contributions...
In this paper, a novel anti-collision algorithm based on cyclic redundancy check is proposed to improve the performance of the RFID system. Compared with the previous algorithm, two new techniques can be found in our algorithm. First, noting transmitting the RN16 in the process of reading costs too much time in ISO18000-6C protocol, we use 16-bit cyclic redundancy check (CRC16) to take the place of...
A similarity algorithm based on weighted hierarchical structure of XML document is brought forward. The algorithm can calculate the similarity among XML documents efficiently according to hierarchical structure. It can be powerful enough to distinguish the similar structural documents. Experimental results prove that the algorithm reduces the complexity and has fairly high performance. The approach...
Clustering is one of main technical of data mining, by a kind of non-teacher supervises recognition pattern. Despite its popularity for general clustering, K-means suffers two major shortcomings: the number of clusters K has to be supplied by the user and the search is prone to local minima. This article unifies particle swarm optimization (PSO) algorithm and Bayesian information criterion (BIC),...
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