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With the completion of the Human Genome Project, proteomics research has become one of the most important topics in the fields of life science and natural science. The project determined that proteins participate in life activities mainly in the form of complexes. At present, research on protein-protein interaction networks (PPINs) have mainly focused on detecting protein complexes or function modules...
Introduces the basic concept of data mining technology and the commonly used methods of it, and describes the function of data mining technology and its application in general industrial production. Respectively summarize the application status of the data mining technology to production operation process in oil field, around production operation control, production operation parameter prediction,...
Texture control is a challenging issue in texture-based feature visualization. In order to visualize as more information as we can, this paper presents a texture adaptation technique for fuzzy feature visualization of 3D vector field, taking into account information quantity carried by vector field and texture based on extended information entropy. Two definitions of information measurement for 3D...
At present, the region growing algorithm has been used as a segmentation technique of digital images. Most region growing algorithms are using fixed or determinate criterions to distinguish disease spots from leaf image with gray level differences between leaf and disease spot. But in practice, the objects in the disease leaf image have fuzziness and uncertainty, and edges of the objects are unclear...
A real time algorithm embedded in single chip computer (MCU) is presented to count steps precisely. According to the features of the step wave, Chain Code is adopted to encode the signal. Then the Freeman Chain Code is analyzed and modified for signal processing. Steps are detected through recognition of wave group after encoding. The experimental result shows that this algorithm can significantly...
The preprocessing almost take half of the whole time in isosurface extraction of large-scale data, thus it will make sense to shorten the preprocessing time to improve visualization efficiency. We develop a new construction algorithm for binary interval tree nodes based on partitioning span space, and it reduce the sorting computation considerably in isosurface extraction preprocessing. Both complexity...
A convergent algorithm is proposed for solving a class of optimization problems (P1), which can be broadly applied to engineering designs and stability analysis of nonlinear systems. By utilizing logarithmic characteristic and linearization technique, linear relaxation programming (LRP) about problem (P1) is established, through the successive refinement of the linear relaxation of the feasible region...
Outlier detection is the process of detecting the data objects which are grossly different from or inconsistent with the remaining set of data. Some of the important applications in the field of data mining are fraud detection, customer behavior analysis, and intrusion detection. There are number of good research algorithms for detecting outliers if the entire data is available and algorithms can...
Mining frequent itemsets in data streams is a hot research topic in recent years. Due to the continuous, high-speed and unbounded properties of data streams, traditional algorithms on static dataset are not suitable for mining in data streams. In this paper we present bounded frequent itemsets stream (abbreviated as BFI-stream) algorithm, which uses a prefix-tree based structure, called BFI-tree,...
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