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Data mining is a technology in data analysis with rising application in sports. Basketball is one of most popular sports. Due to its dynamics, a large number of events happen during a game. Basketball statisticians have task to note as many of these events as possible, in order to provide their analysis. In this paper, we used data from the First B basketball league for men in Serbia, for seasons...
Various attribute and relation information is used in social recommendation systems. However, previous approaches fail to use them in a unified way. In this paper, we propose a unified framework for social recommendation. Entities like users and items are described by their tags. We model each entity using topic models like Latent Dirichlet Allocation(LDA) and then connect these topic models to form...
Most current anomaly detection systems employ supervised methods or unsupervised methods. Supervised methods rely on labeled training data, however, in practice, this training data is typically expensive to produce. In contrast, unsupervised method can work without the need for massive sets of pre-labeled training data, but its accuracy is quite low. This paper put forward a semi-supervised cluster...
This study is to investigate a number generator based on the curve or fold input and use it to simulate and verify the real world events. The main technology is to use and modify the principle and characteristics of fractal interpolation, in combination of our developed Affine Function of Vertical Distance Selection Method and Initial Point Selection Method, as well as various linear data characteristics...
In many applications it is necessary to be able to classify images in a database accurately and with acceptable speed. The main problem is to assign different images to right categories. The later problem becomes more challenging while dealing with large databases with many categories and subcategories. In this paper we propose a novel classification method based on an adopted hierarchical Dirichlet...
Researched and developed the software system of Information Management and Decision Support System of the hidden danger troubleshooting of Coal Mine. By using the technology of collaborative software to realize fast circulation of information, dynamic tracking, rapid feedback, and closed-loop management of transaction processing for the hidden danger, and by applying the technology of data mining,...
In this paper, we used X-Means clustering algorithm, incorporated data images from a so-called Iterative Data Image Rotated Bar Graph (iDIRBrG) method (formerly referred as BC method) and used Vector Fusion Visualization to achieve better traffic data analysis results compared to our previous work by improving how data signatures are constructed from the raw data set. By doing so, we effectively identify...
This paper describes dynamics analysis of a small training ship and a possibility of ship pitching stabilization by adjusting engine speed. First, statistical analysis through multi-variate auto regressive(MAR) model is carried out. After upgrading the navigational system of an actual small training ship, in order to identify the model of the ship, the real data collected by sea trials on the ship...
This study was aimed at investigating the factors influencing value in pursuing studies at private vocational schools and the level of such factors. The sample consisted of 379 students of 53 private vocational schools, which were selected through stratified random sampling. The instrument used for collecting the data was the questionnaire with reliability of 0.987 that consisted of three parts: Part...
An increasing number of studies have profiled gene expressions in tumor specimens using distinct microarray platforms and analysis techniques. With the accumulating amount of microarray data, one of the most challenging tasks is to develop robust statistical models to integrate their findings. We compare some recent methodologies on the field, with respect to ER status, and focus on a unified among...
Takagi-Sugeno models are an important class of fuzzy rule based oriented models, generally used for prediction and control. Fuzzy clustering is one of effective methods for identification. In this method, we propose to use a fuzzy clustering method (Kernel based fuzzy c-means method) for automatically constructing a multi-input fuzzy model to identify the structure of a fuzzy model. To clarify the...
Copulas are functions that join or couple multivariate distribution functions to their one dimensional marginal distribution functions. Alternatively, copulas are multivariate distribution functions whose one-dimensional margins are uniform on the interval (0,1). The appeal of copula function lies in the fact that it eliminates the implied reliance on the multivariate normal or the assumption that...
We apply a new bootstrap statistical technique to distinguish between dasiaskillpsila and dasialuckpsila for individual funds. This methodology allows for non-normality in the idiosyncratic risk of the funds-a major issue when considering those funds which appear to be either very good or very bad performers, since these are the funds which investors are primarily interested in identifying. Our bootstrap...
Aiming at the risks of the real estate appraisal methods of subjectivity, easy handling high dimensional data, Projection Pursuit technique is proposed risk evaluation of real estate to reduce the dimension. And using the PSO algorithm to optimize the projection index function to establish the Projection Pursuit of Real Estate Risk Assessment Model witch is based on PSO. The model is high of objectivity...
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