Applied Mechanics and Materials Vols. 687-691

Abstract: In this paper, the difficulty of applying data mining technology to the technical-tactics analysis in sports field was investigated and a solution to mining the key factor of scoring in sport matches was presented. This solution applied an approach of data mining based on Markov process to find focal process of action transitions by calculating system reliability difference. Because rules of match brought ambiguity to data, a solution was proposed which preprocessed the data respectively by setting the threshold of the state transition probability. The experiment proves the correctness and feasibility of the solution.

Abstract: This paper introduces the concept of database and data mining, combined with management system of quality assessment system and method of data mining technology. In this paper, applying the data mining skill to the field of remote open management system, introduces the development of data mining in China and the necessity and importance of data mining in remote open information management system. This thesis analyzes the main problems in the remote open management system. On the basis of the relevant researches both at home and abroad, it presents the significance of the application of data mining in remote open management system. It analyzes the needs of the system based on data mining and presents a detailed design and implication of such a system.

Abstract: The starting point of the article is evaluation of students’ entrepreneurship and innovation in higher vocational college. Combing with existing study on indicators system and scientific practice, the article introduces the method of comprehensive evaluation, constructs evaluation model with three levels and forty specific indicators, briefly analyses specific indicators.

Abstract: The number of biomedical literatures is growing rapidly, and biomedical literature mining is becoming essential. An approach for article processing in text preprocessing is proposed in order to improve the performance of biomedical literature mining. This approach combines the Web and corpus counts in order to eliminate the limitations of noise data of the Web. We experimentally showed that the performance of the combination models is the best comparing to the pure Web and corpus models. We achieve the best precision of 89.1% on all article forms and 88.7% article loss class.

Abstract: Data simplification is an important factor of the spatial data generalization, which is an effective way to improve rendering speed. This paper firstly introduces the algorithms classification of the spatial line vector data in two-dimensional environment, and then it emphatically summarizes and analyzes the advantages and disadvantages of the algorithms which can be used in the spatial line vector data simplification in the three dimensional environment. The three-dimensional Douglas-Peucker algorithm with a certain overall characteristics has wide application prospect. The simplified algorithms in 3D environment represent the development direction of the future. But at present, the existing data simplification algorithms in 3D environment are not mature enough, they all have certain advantages and disadvantages, this makes their use is limited by a certain extent. The application of these simplified algorithms in 2D and 3D is mostly on multi-resolution expression. Developing from 2D algorithm to the direction of 3D algorithm, it also lists many works and problems that need us to do and study in the future.

Abstract: Hadoop, is becoming a necessary part of a large-scale data mining system. Therefore, this issue is exactly a kind of practice of data mining tasks on the hadoop distributed Systems. In this paper, the main task is to build a distributed cluster computation environment using hadoop and implement a data mining task in the environment. We select data clustering task as a representative, and select the K-means clustering algorithm to do in-depth research.

Abstract: Edge covering problem, dominating set problem, and independent set problem are classic problems in graph theory except for vertex covering problem. In this paper, we study the maximum independent set problem under fuzzy uncertainty environments, which aims to search for the independent set with maximum value in a graph. First, credibility theory is introduced to describe the fuzzy variable. Three decision models are performed based on the credibility theory. A hybrid intelligence algorithm which integrates genetic algorithm and fuzzy simulation is proposed due to the unavailability of traditional algorithm. Finally, numerical experiments are performed to prove the efficiency of the fuzzy decision modes and the hybrid intelligence algorithm.

Abstract: The landscape renderings project performance, landscape renderings important form of program scrutiny, accomplished by means of computer design has become the mainstream of the industry, it has performance visualization, and process reversible, diversified visual affects features. Computer graphics has three stages, namely modeling, rendering, and image processing, as opposed to proper professional graphics software; "3DSMAX + VRAY + PHOTOSHOP" is a typical process landscape renderings produced.

Abstract: Three-dimensional animation is an emerging technology and animation technology with the development of computer hardware and software generated. Compared to traditional 2D animation is concerned, 3D animation has more fluid camera movement, mice richer, more delicate visual style, more stunning visual effects. Attributed to computer software to simulate the real effects in terms of the characteristics of three-dimensional animation has the advantage of a great extent, and one of the important effects that simulate real motion blur effect. According to the technical differences between the three-dimensional animation of the various stages of the process, implementation and effects of different motion blur effects are not the same. Based on the study of the basic principles of motion blur effects of the above, and analysis focuses on the different stages of its technology in animation and in effect differences.

Abstract: This topic mainly aimed at the dynamic simulation of some actual problems. The research is suitable for the dynamic system of modeling artificial model and learning algorithm. First it summarizes the existing network simulation model of dynamic system and network delay unit. All the feedback network and part of the feedback network model, the network topology is given and used for system simulation. The method of simulation learning algorithm and simulation instance. And then established the time-varying input and output process neural networks and network model of two kinds of discrete process neural network for its properties are analyzed and proved that the concrete learning algorithm is deduced. Finally combined with the actual problem, time-varying input and output process neural network is given in the application of system identification.