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This paper proposes a new spatial query called a reverse direction-based surrounder (RDBS) query, which retrieves a user who is seeing a point of interest (POI) as one of their direction-based surrounders (DBSs). According to a user, one POI can be dominated by a second POI if the POIs are directionally close and the first POI is farther from the user than the second is. Two POIs are directionally...
Though slope disaster management practice has accumulated a lot of success and failure of slope treatment project cases, large amounts of data information produced by these engineering cases were not been taken full advantage of therefore caused great waste of resources. Fully development and usage of large amounts of stability-known slope experience undoubtedly have important practical significance...
Skyline is defined as a set of objects in a multidimensional dataset. It returns objects which are not dominated by any other objects in the set. An object p dominates object p' if and only if it is not worse than p' on all of the attributes (dimensions) and is better than p' on at least one attribute. Given the same kind of dataset, the skyline group query returns groups which are not dominated by...
Traditional Chinese medicine (TCM) is the study of human physiology and pathology, and the prevention, diagnosis, and treatment of human diseases. The traditional Chinese medicine knowledge system is complex and its structure is huge. Therefore, it faces considerable obstacles in terms of knowledge sharing, exchanging and interfusing. Traditional information retrieval technology has made remarkable...
With a growing amount of data, a viable solution is to use a cluster consisting of a large of computers for parallel processing, and Hadoop parallel computing platform is a typical representative. Clustering analysis for time series data is one of the main methods mining time series data, however, general clustering algorithms can't perform clustering for time series data directly since series data...
Due to complex and abstract of the relationship for traditional Chinese medicine, conventional analytical methods are difficult to draw potential rules, and social network analysis is the method to solve the problem with complex relationship and structure, which provides an opportunity to use social network analysis approach to analyze medical record prescriptions. In this paper, various traditional...
Concerning a problem that convergence of NN-SVM is slow and outliers bring invalidation of this algorithm while training a large-scale sample set, SOMNN-SVM is presented in this paper. This algorithm removes outliers and constructs a small-scale representative sample set removing most of non-support vectors. Then in this small-scale set, vectors are retrimmed. Since NN algorithm is searching data...
Multi-valued functions can be compute by multi-valued neural network. In order to use linear algebra method for analysis of multi-valued function, this paper gives the spectral representation of multi-valued functions. By define a checksum function of n variables, this paper gives an group of orthogonal bases. Any multi-valued function in GF( p)pn can be uniquely represented as a linear combination...
Inductive learning is one of the basic cognitive skills in experiential knowledge acquisition. The consistency of inductive logic and inductive learning in research objects and methods make it possible to form inductive technique by specification on theories and methods of inductive logic on basis of cognitive mechanics. In this paper, by combining inductive logic theory and graph theory of Shindika's...
On the basis of decision analysis for complex problem solving, the consistency of innovation theory and Decision support in problem solving methodology, this Knowledge system of innovative theory will be used to build design support system in this paper. We explore structurized attribute method of complex problem, model representation of conflicts and model method of conflict resolution in the design...
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