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In the cancer research recently, it still doesn't have a definitive conclusion for the regulatory mechanisms of tumorigenesis and metastasis. But different genes have different biological functions, and these functions with interactions between genes play an important key in gene regulatory networks. Microarray is a tool most commonly used in the disease research, and scientists usually use that the...
In the covering information system with decision-making (CISD), τ-lower and upper approximation operators are introduced, and some corresponding properties are discussed. This paper also explores reductions of a covering which is based on a new concept of the degree of approximate dependency, and proposes a reduction algorithm based on the importance degree. After reduction, a decision tree is generated...
One of the most important issues in fuzzy decision tree learning is the fuzzification of input data. This paper proposes a self-adaptive data fuzzification algorithm based on the self-organizing map (SOM) technology, which can automatically determine the number and coordinates of centers in triangular membership functions. Then the membership degree of each sample to all fuzzy subsets can be calculated...
In this paper sample selection with rough set is proposed in order to compress the discernibility matrix of a decision table so that only minimal elements in the discernibility matrix are employed to find reducts. First relative discernibility relation of conditional attribute is defined, indispensable and dispensable conditional attributes are characterized by their relative discernibility relations...
The Bayesian classifier model is a class of probability classifier based on the Bayesian theory. Compared with more sophisticated classification algorithms, such as decision tree and neural network, Bayesian classifier can offer very good classification accuracy in many practical applications. In this article, we perform a methodologically sound comparison of the seven methods, which shows large mutual...
Email is a kind of semi-structured document, some important attributes are contained in its structure, and especially using spam-specific features could improve the email classification results. In this paper, we apply decision tree data mining technique to dig out the potential association rules among these attributes of email, and then to identify unknown email's category based on these rules. According...
Rough Bayesian network classifier (RBNC) not only has the ability of rough set (RS) for analyzing and reducing data, but also holds the advantage of Bayesian network (BN) for parallel reasoning, and it has been successfully used in fault diagnosis field. However, single RBNC sometimes will produce misdiagnosis because of many uncertainty factors in practical diagnostic process. In order to improve...
Identification of similar trademarks is important in trademark registration. Shape feature could intuitively and effectively describes an object in a given image. Therefore, shape feature plays an important role in content-based image retrieval (CBIR) systems. The shape feature is particularly suitable for trademark image retrieval (TIR) systems. In this paper, we propose an effective solution for...
Cluster analysis method and Near-infrared (NIR) diffuse reflectance spectroscopy are applied to develop a fast identification method of food. The samples are collected from different manufactures and they are peanut oil, milling balm, and Jinhua ham. NIR spectra are pretreated with first derivative calculation and vector normalization. The NIR data are evaluated by cluster analysis, which uses the...
A three-level index evaluation system of high-tech enterprises is raised expanding from four main factors-capital, technology, market and management; neural network system is introduced in high-tech enterprises growth-evaluation to strengthen the evaluation; BP network model is established through network training, which is used to carry out growth evaluation. These provide frontier idea for the cross...
This article was created to investigate the triangular irregular network (TIN) problem algorithms with the Delaunay condition. Nowadays TIN problem is used on many fields as a problem to find the way, electronic maps, traffic problems and etc. In HoChiMinh city, TIN problem also is used to apply for civic plan subsystems, traffic subsystems, electric power subsystems, and post subsystems...This article...
The feedback filtering is a key issue to the reputation evaluating in Peer-to-Peer networks. The existing models usually focus on filtering out the fake feedback at the trustor's side. However, even the most honest recommender could submit feedbacks with low quality. In this paper, a new reputation evaluating model is proposed. The model filters the feedback not only at the recommender's side but...
This paper considers the following problem: Problem A: find the least-squares solution of the some matrix equation over Hermitian anti-self unitary similar matrices. The general form of least-squares solutions is derived.
Covering rough sets, as a generalization of classical rough sets, has attracted wide attention in both of the theory and its applications. In this paper, we first define the concepts of mappings of covers, and then we study on some properties of covering approximation spaces under mappings.
Active learning is a hot topic in machine learning field. The main task of active learning is to automatically select the representative instances for efficiently reducing the sample complexity. This paper presents a brief survey of active learning regarding selection methods, query strategies, applications and other related works.
The physical feature preserving will be ignored and difficult for parallel implementing when topological simplification of planar flow field by merging the grid. It could not satisfy the real-time requirement for remote visualization. This paper will introduce a topological simplification of planar flow field based on physical feature completely. By creating the physical feature filter of planar flow...
It is studied to find a positive semidefinite(not necessarily symmetric) matrix A satisying equation AX = B for given X, B. The solvable conditions are given and a general expression of the solutions is provided. The problem to find the positive semidefinite matrix  which minimizes A*-A in Frobenius norm is considered, where matrix A satisfies AX = B. Some numerical results are also reported.
Most of the existing Chinese chess programs improved only through optimizing the data structure and improving the search strategy. Game-tree search is one of the key technologies in Chinese Chess computer programs and the required memory storage is huge. Therefore, a new method is introduced. In each match, the movement of the opponent and the position value are stored in database. Then it can avoid...
In the uncertainty space, some equivalent conditions on convergence in uncertain measure for the uncertain variable sequences are established, the results are the generalizations of the corresponding ones of the existing literatures.
Nowadays, more and more databases are distributed in networks. To produce knowledge with the databases, traditional data mining technology should be developed in model, algorithm, strategy, etc. The popular distributed data mining (DDM) systems are introduced and classified into three classes: DDM systems based on parallel data mining agents, DDM systems based on meta-learning, and DDM systems based...
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