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Multidimensional relationships can be represented as a multi-mode network or graph, where each vertex or node corresponds to an object, and each edge or link is attributed to one of the multiple types of relationships between a pair of objects. Web search log includes users' search behavior and can also be represented as such a multi-mode network, where each vertex corresponds to a query and each...
Photovoltaic (PV) power generation's advantage of mitigating fossil energy consumption and environment friendly results in its widespread utilization. However, inaccurate PV output prediction will cause problems of dispatching, stability and reliability in power system. PV output is directly affected by the solar irradiance. Without solar irradiance monitoring facilities and only relying on the basic...
It has become a general consensus that smart grid is one of the most important technical fields for big data technology application. Power network dispatching and planning is fundamental to power industry development and construction, however, massive power data is still manually filled in, dispatching method and planning design method relies heavily on experience and single data source. This paper...
Background. Stability and growth in life insurance market is an important economic indicator. Therefore, yearly coverage lapse-rate estimates are one of the key statistics that actuarial analysts need to characterize and manage the insurance business. Aim. We aim to present machine learning based approach applied to a real data set covering a decade long customer history of an international financial...
In this manuscript, we investigate a collaborative filtering method to characterize consumption behavior (or evaluation) of customers (or users) and services (or items) for marketing. Assuming that each customer and service have the invisible attribute, which is called latent class, we propose a new Bayesian statistical model that consumption behavior is probabilistically arise based on a latent class...
In this paper, we design a five-sided educational data mining framework (5S-EDMF) to analyze college students' diligence and effectiveness of study, and to recommend learning resource accordingly. We noticed data collected from students' E-learning activities to reveal a lot about the attitudes and behaviors of students online as well as offline. This provides us an additional valuable tool to access...
Regression analysis is a statistical method widely used in the literature. One of the most common uses of this method is to make a prediction. However, some assumptions must be satisfied in order to use this method properly. Each regression model obtained may not be statistically valid. Models need to meet certain qualifications in order to be valid. There are various regulatory model qualification...
The importance of mapping data from the relational model to other models and technology have been widely discussed. Bring them to graph model is an example of that discussion. The graph model allows to analyze the topology such as social networks, link prediction and recommendation systems. There are initiatives to map a relational database to a graph representation. However, they are not concerned...
Verifying attacks against cyber physical systems can be a costly and time-consuming process. By using a simulated environment, attacks can be verified quickly and accurately. By combining the simulation of a cyber physical system with a hybrid attack graph, the effects of a series of exploits can be accurately analysed. Furthermore, the use of a simulated environment to verify attacks may uncover...
Election forecasting has attracted many research efforts. Election forecasting helps the government to optimize the rules of election and candidates to adjust their campaign strategy according to forecasting results, and it contributes to election campaigns. Based on the poll model, this paper proposes poll model improved by delegating and weighting operations applicable to the election of Hongkong...
The process of identifying and assigning the relationship between two bodies of text is referred to as stance classification. Given a headline and the corresponding body they are compared and their relationship is classified into one of the following two classes — unrelated or related where related is further divided into agree, disagree and discuss. In this article, data is collected from news articles...
The need for systems capable of conducting inferential analysis and predictive analytics is ubiquitous in a global information society. With the recent advances in the areas of predictive machine learning models and massive parallel computing a new set of resources is now potentially available for the computer science community in order to research and develop new truly intelligent and innovative...
In this paper, a series of spatiotemporal data is analyzed by a regression method based on the theory of support vector machine (SVM). The support vector regression (SVR) model is used to predict the remote sensing data sets effectively. Firstly, we studied how to build a SVR model for spatiotemporal series prediction, and studied the problems of the test data processing, model parameters selection...
The purpose of establishing buffer operators is to improve the smooth degree, then increase the simulation accuracy of the model. This paper probed into modeling mechanism of several typical buffer operators such as the arithmetic buffer operators, the buffer operators with monotonic function and weighted buffer operators. The results indicates that after infinite buffer operators, no matter we adopt...
Enterprise Resource Planning (ERP) systems are large scale integrated systems covering most of the business processes of an enterprise. ERP projects differ from software projects with customization, modification, integration and data conversion phases. Most of the time effort and time estimations are performed in an ad-hoc fashion in ERP projects and as a result they frequently suffer from time and...
CST (Crop Statistics Tool) is a standalone freeware for predicting crop yield statistics using indicators derived from crop models, weather or remote sensing data. The principle of CST is that years similar to the target year (e.g. the current year) should have similar yields, or similar yield deviations from a technological time trend. In practice, CST guides the crop analyst through standard steps:...
The problems which remain for further studying in grey system theory are identified. Including the synthesis axiom of degree of greyness for “multiplication” and “division”, how to construct and select a suitable buffer operator? how to select and test a grey prediction model? how to build a negative grey incidence analysis models? the test rules and criteria of grey clustering evaluation models,...
In order to improve the prediction accuracy of GM(1,1) this paper points out the disadvantages of using least square method to solve the parameters of model, attempts to use particle swarm optimization algorithm (PSO) to calculate the parameter of GM(1,1), introduces the stochastic strategy into PSO to endow the inertia weight of particle randomly, and then selects high-rising exponential sequence...
The aims of this study were to forecast change of Chinese social donation in recent years by grey Verhulst model to find out characteristics of social donation and grey correlation analysis which was proposed by Professor Deng Julong is used to detect of an interpersonal relationship between the number of social donations from oversea and the number of foundations. This paper provides a quantitative...
Use Integrated information systems involves an important process which is easy to get own budgets estimated and actual deviations of financial information, a strategy that supports the practice of transparency in professional sports clubs& There is a strong correlation between all of the information systems, where the system works to give the power of data and financial reports and are based on...
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