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The following topics are dealt with: future information technology; management engineering; artificial intelligence; machine learning; e-business; e-entrepreneurship; e-learning; e-logistics; security and privacy; Web service; grid service; industry management; information system; information economics; database management; and wireless computing.
In recent years, the explicit semantic analysis (ESA) method has got a good performance in computing semantic relatedness (SR). However, ESA method has failed to consider the given context of the word-pair, and generates the same semantic concepts for one word in different word-pairs. It canpsilat exactly determine the intended sense of an ambiguous word. In this paper, we propose an improved method...
Identifying database corresponding attributes in schema matching plays a key role in data integration in heterogeneous databases. Most of current approaches mainly use schema information of attribute. Little research has attempted to fully explore the use of data content. This paper introduces a novel schema matching algorithm based on data content, which has two-step process. First, through the analysis...
To discriminate the quality on traditional Chinese medicines RADIX NOTOGINSENG real-time, according to the characters of radix notoginseng finger printer, the basic concepts of rough set are introduced briefly. For rough sets can only deal with discrete data, the discretization of data is the key factor in the rough sets applied in quality assessment, we present a method of discretization based on...
To assess quality fast and accurate, analyze the K-means clustering, point out that the main advantages of k-means algorithm are its simplicity and speed which allows it to run on large datasets .Introduce the method of particle swarm optimization, through calculation, point out that all the particles are likely to faster convergence on the optimal solution. According to the character of quality assessment...
Introduces the development and application research of load about air- conditioning based on BP neutral network. Connects some theory about BP neutral network and characters about bus air conditioning, and develops BP neutral networks for cooling load calculation of bus air conditioning. The results show the cooling load decrease 22.8 percent compare with steady calculation method. The BP neutral...
Defects of linear and circular models on industry agglomeration have been illustrated in this paper, with the conclusion that the defects lie in the improper prerequisite of the models, which will lead to false identification of the fundamental impetus of the phenomenon. A dynamic evolution model on industry agglomeration based on swarm intelligence is set up, followed with relevant computer simulation,...
Principal components analysis (PCA) is a basic method widely used in face feature extraction and recognition. In order to overcome the shortcoming of absent consideration of the between-class information and the defect of the inconvenient update of the eigen-space in the traditional PCA method, this paper proposed a cluster-based feature projection method. The method enlarges the difference of samples...
Recently, spectral clustering has become one of the most popular modern clustering algorithms which are mainly applied to image segmentation. In this paper, we propose a new spectral clustering algorithm and attempt to use it for outlier detection in dataset. Our algorithm takes the number of neighborhoods shared by the objects as the similarity measure to construct a spectral graph. It can help to...
Outlier mining is to discover the objects with exceptional behavior in dataset. It is an important challenge from the knowledge discovery standpoint and attracts much attention recently. The density based outlier mining algorithm is an effective approach to detect anomalous points. However, such algorithms usually need amounts of computations. In this paper, we propose a modified density based detection...
The face recognition is an active subject in the area of computer pattern recognition, which has been a focus in reach for the last couple of decades because of its widely potential applications. A face recognition approach is put forward based on the RBF neural network. Also discussed are the problem of feature of a face image vector, the problem of normalization of the image-size, and the problem...
As an important step of knowledge discovery in databases, data mining is a process of distilling critic, unclear, potential useful information or knowledge from plenty of data, which has been applied in many places. In this text, we introduce a new method of data mining that can be applied in the performance evaluation of human resource management.
Description logics (short for DLs) are very important for the expression of ontologies, which allow reasoning about individuals and concepts. However, DLs can not process the indefinite knowledge existing widely in nature. Based on the cloud model, we present cloud-ALC to deal with the indefinite knowledge, which is the extension of the important description logic ALC. We define its syntax and semantic,...
Because of unsatisfied efficiency and effect of the current on-line auto-generating paper, an algorithm of auto-generating paper based on KP (Knapsack Problem) was presented and the conventional method of solving KP was improved, that is, paper was separated into small packs according to itempsilas type and its difficulty and solved respectively by process of the solution to KP. The experiments show...
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