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As a widely used medium platform, Micro-blog influence research is a hotspot. The community micro-blog, which is used as an effective tool by social managers in virtual community, has developed rapidly in recent years. As the basis of government micro-blog system in China, the community blog influence has great importance to guide the public popular feelings and guarantee the safety of the virtual...
The green supplier evaluation is of great importance for the green supply chain management. Unlike other industries, the thermal power supply chain has its own characteristic, therefore the green coal suppler evaluation models should differ from those of other industry. In this paper, an evaluation index system for green coal suppler is established according to the characteristic of the thermal power...
In this paper, support vector machine (SVM) have been applied to the failure probabilistic model of CNC lathe, and two methodologies (SVM and least square method) have been compared for the analysis of the failure data collected from eighty CNC lathes. The proposed failure probabilistic model based on SVM was more accurate and reliable than that of least square. Hence, the more accurate mean time...
Based on the framework of support vector machines (SVM) using one against one (OAO) strategy, a new kernel method based on Bhattacharyya distance is proposed to raise the classification accuracy by combining the characteristics of hyperspectral data. The proposed method takes advantage of the non-uniform information distribution of hyperspectral data and makes the band with greater separability play...
Ontology learning aims to facilitate the construction of ontologies by decreasing the amount of effort required to produce an ontology for a new domain. However, there are few studies that attempt to automate the entire ontology learning process from the collection of domain-specific literature, to text mining to build new ontologies or enrich existing ones. In this paper, we present a complete framework...
Support vector machine (SVM) appears to be a robust alternative for pattern recognition with hyperspectral data. However, this kernel-based method does not take into consideration the bio-physical meaning of the spectral signatures. Observation of real-life spectral signatures from the AVIRIS hyperspectral dataset shows that the useful information for classification is not equally distributed across...
Ontology learning has become a major area of research whose goal is to facilitate the construction of ontologies by decreasing the amount of effort required to produce an ontology for a new domain. However, there are few studies that attempt to automate the entire ontology learning process from the collection of domain-specific literature, to text mining to build new ontologies or enrich existing...
Regarding to the daily load forecasting, the sample selection and data preprocessing are crucial to its' precision. In this paper, case-based reasoning (CBR) is adopted to search the historical data whose features are the same as the predict day. CBR is realized through the steps of case representation, indexing, retrieval, and adaptation, and the key idea in CBR involves the use of already existing...
The electronic mail (e-mail) concept makes it possible to communicate with many people in an easy and cheap way. Though email brought us such huge convenience, it also caused us trouble of managing the large quantities of spam mails received everyday. Without appropriate counter-measures, the situation seems to be worsening and spare email will eventually undermine the usability of email. To efficiently...
Regarding to the daily load forecasting, the sample selection and data preprocessing are crucial to its precision. In this paper, the grey relation analysis method is adopted to search the historical data points whose variation trends are the same as the predict point. The variation trend of each point is represented by load values of the neighboring points. As no influencing factors are used in this...
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