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The paper explores the basic theory related to the enterprise Competitive Intelligence and data mining technology, and discusses the advantages of Competitive Intelligence acquisition based on data mining. An acquisition model of Competitive Intelligence based on data mining is constructed. The technologies and process of each stage are analyzed. A successful implementation case was discussed in the...
In this paper, Singular Value Decomposition (SVD) is combined with hybrid collaborative filtering (CF), proved to be an effective solution for sparsity problem. SVD is utilized in order to reduce the dimension of the user-pageview matrix obtained from web usage mining. Afterwards, both low-rank matrices are employed in order to generate item-based and user-based predictions. A framework for building...
As an effective tool for knowledge discovery, concept lattice has been successfully applied to various fields. One of the key problems of knowledge discovery is knowledge reduction. The existing work on attribute reduction has not focused on aquatic lives disease diagnosis (ALDD). This paper describes an improved incremental approach of attribute reduction in concept lattice for ALDD. Firstly, the...
With the vast increase in collection and storage of data, the problem of data summarization is most critical for effective data management. Since much of this data is categorical in nature, it can be viewed in terms of a Boolean matrix. Boolean matrix decomposition (BMD) has been used to provide concise and interpretable representations of Boolean data sets. A Boolean matrix can be expressed as a...
The application of motivation psychology on crowd simulation is an interesting topic. Agents in a crowd should have motivations and behaviours, and make decisions in a certain virtual environment by themselves. A formalization of motivation is presented by fuzzy mathematical methods and a computational motivation model for agents is set up. An agent's local motion within a group is based on Helbing's...
A model of fish disease diagnosis was proposed by combining rough sets theory (RST) with classifier fusion. On the basis of the attribute reduction of RST, the remaining condition attributes were used for the inputs of individual classifiers and the decision attributes as the outputs. The application of ordered weighted averaging (OWA) operator as a classifier fusion approach has been adopted to combine...
As a complex ecosystem of society, economy, resources and environment, small towns’ development with multiple complicated factors involved, Urbanization and sustainable development are very important. In this paper, a coordination model was given to analyze the relationship of urbanization and sustainable development and verified through the demonstration on Hengdian town, a town of national sustainable...
In the area of ocean fisheries research, one hotspot is the use of marine environment factors for fisheries forecast. This paper fits in the category using fishery knowledge discovery based on support vector machine (SVM) and fuzzy rule extraction. It takes the Indian ocean big-eye tuna fishery as its testing ground. Firstly, the support vectors are obtained by training the SVM with some sample data...
The dimension reduction is necessary steps for face recognition based on subspace analysis. The proposed method employs class information for structure of similarity matrix when implement of 2DLPP. A subspace which preserves local neighbor structure and centralizes same class samples of training images is got. Moreover, it has available computation efficiency and accuracy because it belongs to the...
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