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This article contains description how to create prediction models for more efficient utilization of running IT resources. Prediction model creation is presented as one of the most important steps within the process of the knowledge discovery. Presented models were created based on real data from a local IT company by means of the programming language R. This article also marginally covers the steps,...
We present a sport skill classification using time series motion picture data, focused on table tennis. We do not use body nor skeleton model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table tennis, and...
In this paper, we want to introduce experimental economics to the field of data mining and vice versa. It continues related work on mining deterministic behavior rules of human subjects in data gathered from experiments. Game-theoretic predictions partially fail to work with this data. Equilibria also known as game-theoretic predictions solely succeed with experienced subjects in specific games -...
We present a time series data analysis for sport skill using data mining methods from motion pictures, focused on table tennis. We do not use body model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table...
Respiratory signal is usually recorded with techniques like spirometry, pneumography or whole body plethysmography. These techniques require the use of cumbersome devices that may interfere with natural breathing, unmanageable in certain applications such as ambulatory monitoring, stress testing, and sleep studies. Infact, the joint study of cardiac and pulmonary systems is of great interest in most...
Data mining is the process of extracting non-trivial patterns from large volume of data. It generates insight and turns the data into valuable information. A critical yet common flaw when performing data mining is to ignore the geographic locations from where the data is taken. When this geospatial attribute of the data is taken into consideration, the process is known to be geospatial data mining...
This paper describes an appropriate category discovery method that simultaneously involves a customer's lifestyle category and item category for the sustainable management of retail services, designated as ``category mining''. Category mining is realized using a large-scale ID-POS data and customer's questionnaire responses with respect to their lifestyle. For the heterogeneous data fusion, we propose...
Spatial data analysis and mining is more difficult to put into practice than classical data analysis due to complexity of geographical phenomena. This paper preliminary analyzed main problem faced by SDM, provided a basic framework for SDM with spatial statistical methods. Logistic regression is popular in LUCC for building relationships between land use types and influential factors by spatial sampling...
Several flaviviruses are important human pathogens, including dengue virus, a disease against which neither a vaccine nor specific antiviral therapies currently exist. QSAR study was carried out with the purpose of searching new competitive dengue inhibitors with similar properties to the existence inhibitors (i.e. data set). The approach began with the development of rigorously validated QSAR model...
In order to solve the difficulty - how to choose elements of product performance and price - and the distortion problem caused by the multi-variable correlation, this paper proposes a optimized model of product customer satisfaction (PCS) based on genetic algorithms and partial least squares. The model not only solves the distortion problem due to multicollinearity, but also provides multiple models...
Based on the present analytical method of Econometrics, this article conducts an empirical research on the co-movement of stock price of gold mine enterprises and the international gold price. By analyzing the daily datum from January 2th 2004 to October 20th 2009, the article concludes that there is a relative high correlation between the stock price of gold mine enterprises and the international...
The gas disaster is threatening the safety of China's coal mines“ the number one killer.” Comprehensive and systematic understanding of a variety of leading gas accidents reasons and early scientific warning of gas for work safety in coal mines is an urgent need to address the problem. Predictions of coal gas for the problems, this paper use the extension data mining technology and it not only from...
It has become difficult to discover quality content within forums websites due to the increasing amount of User Generated Content (UGC) on the Web. Many existing websites have relied on their users to explicitly rate content quality. The main problem with this approach is that the majority of content often receives insufficient rating. Current automated content rating solutions have evaluated linguistic...
We propose a fast regression algorithm that can substantially reduce the computational complexity of searching, yet retain good accuracy. It also guarantees to discover correlated features that are collectively predictive, and avoid model over-fitting. Its capability of controlling mFDR (marginal False Discovery Rate) statistically enables the one-pass search of the fast algorithm and guarantees the...
A customer win-back model is developed to test the relationship among customer relationship management, commitment, and customer loyalty in this paper. This model involves customer relationship management, trust, emotion, price, commitment, loyalty and other factors. A number of data analyses are carried out, and the results show that customer relationship management has a positive impact on the formation...
The managerial incentive under network externality is studied by using game theory. The result shows that, the optimal managerial incentive is influenced by network externality. The larger network externality is, the smaller optimal managerial incentives will become. Moreover, network externality always increase equilibrium quantity and profit, but may decrease, increase or not change the equilibrium...
With economic growth and gross domestic product increasing year by year, the electric power industry as a fundamental industry supports the development of the three industries. So to speak, no electric power industry, the rapid and stable development of the economy in our country is not continuous, stable and high-speed growth. Research in the degree of association between three major industries and...
This research has been aimed at building the supervision and incentive model of senior management staff, which accords with China's national conditions on the basis of domestic and abroad researches and combines the major issue of executives of China's listed companies. Intends to obtain some enlightenment, Various kinds of concrete models have been promoted in this assay, and quantitative methods...
Modeling of real world financial time series such as stock returns are very difficult, because of their inherent characteristics. ARIMA and GARCH models are frequently used in such cases. It is proven of late that, the traditional models may not produce the best results. Lot of recent literature says the successes of hybrid models. The modeling and forecasting ability of ARFIMA-FIGARCH model is investigated...
Traditional theory suggests that the economic growth depends on capital, labor and other factor inputs and the progress of technology, which overlooks the factor of institution. Actually, under the condition of absence of factors increased and no change of technology, the improvement of productivity and the growth of economy can be achieved through the innovation of institution. This thesis tries...
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