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Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to "certain?? data, the data in the uncertain database are not exact points, which, instead, often reside within a region. In this paper, we study the ranked queries over uncertain data. In fact, ranked queries have been studied extensively in traditional...
This paper proposes the prediction method for stock exchange of Thailand index (SET index). The proposed method was adapted from adding more important factors to the prediction function. This research takes into account both external and internal factors to forecast the SET index. The external factors are the historical movement of the world's major stock exchange market indices such as Dow Jones,...
This paper presents the design of a decentralized storage scheme to support multi-dimensional range queries over sensor networks. We build a distributed k-d tree based index structure over sensor network, so as to efficiently map high dimensional event data to a two-dimensional space of sensors while preserving the proximity of events. We propose a dynamic programming based methodology to control...
The medial axis, also known as symmetry axis, is a special type of skeleton that has a number of interesting properties. It is a powerful tool in applications involving pattern recognition, image analysis, path planning and mesh generation, to name a few. Since the proposal and definition of the medial axis, in 1967, much effort has been done to develop fast and accurate methods for calculating the...
In recent years, financial statement fraud of listed companies is a deleterious cancer of security market, the quality of accounting information has become focus of the whole society. Based on the empirical analysis of the annual report of China's 160 listed companies in 2006, this paper makes an empirical study on the relationship of characteristics of supervisory board and earnings quality. The...
Services are offered by service providers, which procure service implementations and maintenance, and supply service descriptions. For Web services to become practical, an infrastructure needs to be supported that allows users and applications to discover, deploy, compose and synthesize services automatically. The essence of the Web service is the process on marching between the userspsila request...
In the paper, we introduce a music knowledge question answering system based on ontology knowledge base. Users can propose a question about music knowledge in natural language, the system automatically extract relative knowledge to form answer based on FAQ (frequently asked questions) and ontology knowledge base, and return the answer to users in natural language. The important modules in the question...
In order to evaluating performance of listed companies comprehensively, this paper analyzes multi-index based on projection pursuit, and optimize the weight of financial indicators by Using RAGA (real coding based on accelerating genetic algorithm). This method succeeded in dynamic weighing, makes full use of data, obtains more reasonable and scientific comprehensive performance evaluation.
Knowledge management capability (KMC) evaluation is a required work with strategic significance. However it still has not been addressed in the extant literature. KMC evaluation is involved in multi-criteria decision-making problems and the evaluation indexes are characterized with grey, fuzzy and difficult to quantify. Therefore, the objective of this study is to investigate a grey evaluation method...
A hybrid intelligent system is applied to assess the environment effect of Chinese foreign trade, combining Rough Set approach (RS) and self organizing map (SOM). We can get reduced information table with no information loss by Rough Set approach. And then, this reduced information is used to develop classification rules and train SOM. The effectiveness of our methodology was verified by experiments...
We consider the problem of the correspondence leaning of two high-dimensional data sets via the manifold leaning techniques. Itpsilas convenient for us to find the shared latent structure of the high-dimensional data sets, if they can be aligned in a uniformed low-dimensional data space. A local affine technique to address this problem is present here. Our method preserves more geometrical knowledge...
Since the reform and opening-up policy, China's urbanization has improved continuously. Even though, here comes the bottleneck following the unplanned construction. In the face of obstacles, how to overcome these difficulties and by which means can we improve the level of urbanization comprehensively has become popular in the academic community. Whereas the situation mentioned above, this paper is...
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