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To establish multiparametric radiomics of rectal tumor for the preoperative prediction of lymph node (LN) metastasis.This prospective study consisted of 115 consecutive patients with rectal carcinoma between April 2015 and April 2017. The multiparametric radiomics scores were extracted from the endorectal ultrasound (ERUS), computed tomography (CT) and shear-wave elastography (SWE) features of the...
Multivariate time series (MTS) exist in many applications. Due to all kinds of interference factors, missing data in MTS is inevitable. Aiming at this problem, a filling method based on least squares support vector machine (LSSVM) is proposed. Firstly, for the series containing missing data, similar series are searched, and its results are viewed as the training set. Secondly, to make use of the correlation...
Decision tree is a landmark approach to automatic decision support. From a visualize decision tree, people can easily understand how the rules are produced. In this paper, the objective function is treated as an attribute of the classification rules. The proposed algorithm determines the value of the objective function firstly, and then determines other attribute values one by one to form a classification...
It is always desirable to improve the quality of a global classification model in the light of the existing models. In this work, the Bucket Learning methodology is first proposed to improve the model quality by enhancing its local patterns. We formally define the concept of a board as a tri-tuple 〈D,M,R〉, which unifies the data view, model view and evaluation view of a data mining task. The Bucket...
Collection and analysis of information about network public opinion has currently become an effective means to get people thinking and recommendations by the government departments. In this paper, we presents a method of BBS(Bulletin Board System) hot topic analysis based on multiple keywords combination, this method, which use Chinese automatic word segmentation technology, firstly extracts keywords...
It is always desirable to improve the quality of a global classification model with the existence of other models. In this work, bucket learning methodology is first proposed to improve the model quality through enhancing its local patterns. We formally define the concept of slab as a tri-tuple <D, M, R>, which unifies the data view, model view and evaluation view of a data mining task. The...
Wideband spectrum sensing is urgently in need for cognitive communication with wide spectrum range. When the cognitive user need to communication and when the exact primary user is found return, how to catch a new spectrum hole as fast and accurate as possible is becoming an intractable issue for the wideband cognitive user. In this paper, we propose a wideband sensing scheme for a cognitive user...
To screen stimulators for mycelial growth and polysaccharides production of Ganodermalucidum, the fungus was inoculated into the media with and without supplementation of several fatty acids and ether extracts of Chinese medicinal insects. Palmitic acid at 1.0 g/L lead to significant increase in both biomass and extracellular polysaccharides (EPS) concentration from 7.73 plusmn 0.41 to 10.21 plusmn...
Facing the phenomenon of "ageing population", the diagnosis and treatment of prostate cancer has become a serious menpsilas health issue in Taiwan. This study aimed to provide new scientific and quantitative information for traditional Chinese medicine (TCM) physicians in clinical practice of prostate cancer. In this study, data mining techniques were employed to explore the hidden knowledge...
The characters of zero anti-symmetric (A0) and zero symmetric modes (S0) of Lamb wave sensor loaded with liquid were investigated and compared in the paper. It was found that due to the their different acoustic penetration depths inside the liquid the changes of the surface characteristics of the sensor and the characteristics of liquid near the surface can be identified respectively by combined A...
Digital forensics has lately become one of the very important applications to identify the characteristics and the originality of the digital devices. This study has focused on analyzing the relationship between digital cameras and the associated images. Digital image processing technology has been applied with data mining method to get images' features. Those features were trained and classified...
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