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Machine learning is widely used in various applications such as data mining, computer vision, and bioinformatics owing to the explosion of available data. However, in practice, many data have some missing attributes. The graphic theory serves as a powerful tool for modeling and analyzing many such practical problems, such as networks of communication and data organization. This paper focuses on semi-supervised...
We develop an intelligent credit rating system that can provide debtors' rating information without involving credit rating agencies. Several models are used for credit scoring in our work, including the Duffie's model, logistic regression, and random forest. We compare the performance of these models and build an in-depth understanding of the evaluation of credit rating. Furthermore, we propose a...
This paper presents a budgetary learning algorithm for online multiclass classification. Based on the multiclass passive-aggressive learning with kernels, we introduce a dual perspective that gives rise to the proposed budgetary algorithm. Basically, the proposed algorithm limits the amount of data in use and fully exploits the available data on hand through optimization. The algorithm has both constant...
Predicting the gap between taxi demand and supply in taxi booking apps is completely new and important but challenging. However, manually mining gap rule for different conditions may become impractical because of massive and sparse taxi data. Existing works unilaterally consider demand or supply, used only few simple features and verified by little data, but not predict the gap value. Meanwhile, none...
The administration of hot spring in Taiwan has collected and checked the data of hot spring level these years. Unique temperature and quality of the hot spring usually caused the device recorded and missing data. The data analysis used the gray theory in order to supplement the data of hot spring level.
Impact crater is the major geomorphic feature on the lunar surface. More than 8.2 million valid data samples were obtained by the Chang'E-l Laster Altimeter(LAM) and the craters are hidden among them. In order to visualize the topographical structure of these craters with high accuracy and computational stability, a novel scattered data fitting method was proposed in this paper. Based on the characteristics...
The administration of hot spring in Taiwan has collected and supervised the data of hot spring level. However, the data is usually collected incompletely due to the special temperature and characteristics of hot spring, which influenced the function of instruments. For the purpose of the data analysis of hot spring level, the gray theory was conducted in this study to supplement the data of hot spring...
We present a refinement framework for background subtraction based on color and depth data. The foreground objects are segmented based on color and depth data independently, in which all of the existed background subtraction (BGS) methods can be applied. The two detected foregrounds will be very inaccurate in some situations such as shadowing and color camouflage. We focus our works on refining the...
With the development and benefits of cloud computing, nowadays more and more users outsource their data to third party cloud storage servers for ease of sharing and cost saving. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is a promising tool for enabling fine-grained access control over the shared data in the cloud. However, the practical application of CP-ABE in cloud data sharing system...
In this contribution, Grey Relational Grade (GRG) and Pearson Correlation Coefficient (PCC) which are originally used for automation area are proposed in path-loss model selection of channel modeling. The commonly used method-Root Mean Square Error (RMSE) is employed as a comparison. Measurement data derived from inland river regions and open sea environment as well as many kinds of propagation path...
There is the coupling relationship between financial innovation process system and environment system, which is embodied by the complex interactive stress and constraint mechanism between them. In this paper, financial innovation system as an example, is analyzed by Grey Model (GM(1, 1)) and Back Propagation Neural Network (BPNN) model, and then the coupling coordination situation between the financial...
Poly-Si thin-film transistor (TFT) is the key building element for high-density 3D NAND Flash memory. Random grain boundary (GB) location and interface traps (Dit) density have been shown as the major root cause of variability [1]. However, with CNL pinned at midgap our previous model cannot adequately address experimental results - especially the cause of very low Vt TFT devices. In this work we...
Along with the beginning of the big data era, it becomes difficult to capture, store, search, share, transfer, analyze, and visualize bigger data using the traditional data processing applications. Therefore, the problem is very rigid for many larger companies and research institutes that how to correctly and efficiently extract useful information from the massive data. MapReduce is a programming...
The paper presents nonlinear modeling study of belt conveyor system using the least square support vector machine (LS-SVM). Belt conveyor is a nonlinear, severe disturbance and time-varying system. So far, most of the existing models are based on mechanism laws, which are very useful for belt conveyor design. However, they are too complicated to be applied to control system design. To facilitate a...
Auditing is a continuous process that involves collection of audit evidences. Continuous auditing (CA) is an active research domain of computer assisted auditing in an informationization environment. Online auditing as used in China is one mode of continuous auditing. Electronic audit evidence (EAE) is a main form of audit evidence in an informationization environment. Quick and accurate electronic...
In this paper, classifications of intrusion detection and methods of data mining applied on them were introduced. Then, intrusion detection system design and implementation of based on data mining were presented. Such a system used APRIORI algorithm to analyse data association, which is the most influencing algorithm in mining Boolean association rules continuity item muster, with recurrence arithmetic...
Soil contamination is an enormous problem in China and severely threatens environmental quality and food safety. Desorption of contaminants from soil is a critical process controlling the availability of soil contaminants and thus the risk associated with contaminated soil. All the currently adopted desorption models greatly simplify desorption by assuming that desorption is a simple reverse of adsorption...
Abstract-According to the expectations hypothesis theory of interest rate term structure, the interest rate term structure contains the information about future interest term spread and future inflation rates changing. In this paper, based on Chinese whole dealing bonds' monthly data of five years, from 2004.07 to 2009.06, by using numerical methods we construct term structure both against time and...
Software as a Service (SaaS) attracts small and medium enterprises by its low investment, flexibility and easy to manage. Migrating isolated tenancy hosted web application toward SaaS application can reuse the legacy software assets and cut down the re-development cost and risk. Since multi-tenant is a prime characteristic of SaaS, migrating to multi-tenancy is the prerequisite step of migrating to...
Transcription factors (TFs) play an important role in regulating the expression of genes. The accurate measurement of transcription factor activities (TFAs) depends on a series of experimental technologies of molecular biology and is intractable in most practical situations. Some signal processing methods for blind source separation have been applied in the prediction of TFAs from gene expression...
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