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Distributed and Parallel algorithms have attracted a vast amount of interest and research in recent decades, to handle large-scale data set in real-world applications. In this paper, we focus on a parallel implementation of KD-Tree based outlier detection method to deal with large-scale data set. As one of the state-of-the-art outlier detection methods, KD-Tree based has been approved to be an effective...
Acquiring P2P flow information in realtime is very important for network management and security. To obtain P2P flow information accurately in a low-cost way, a novelty P2P flow analysis system called NetFlowP2P is proposed, which integrates systems for flow aggregation, flow identification and flow analysis respectively in a distributed manner. By utilizing the key information of P2P flows provided...
Clustering is a method of unsupervised learning, and a common technique for intelligent data analysis used in many fields. The enlarging volumes of information produced by the progress of technology, makes clustering of very large scale data a challenging task. Therefore, parallel processing of very large scale data set is a good solution to that problem. CLARANS is approved to be an efficient and...
In this paper, a new decision tree construction algorithm (MIDT) is proposed. MIDT (Multiple Informative Decision Tree) uses principal component analysis to integrate information gain, samples distribution information and correlation coefficient as the basis of the selection of splitting attributes. This method can overcome the disadvantage of ID3 decision tree construction method that uses information...
Image segmentation is a key technique of image processing and computer vision field. However, facing with large amount of image segmentation methods, the qualitative and quantitative evaluation of algorithms is very significant. This paper states the thoughts of high resolution RS image segmentation methods evaluation and tests it by evaluating four typical image segmentation algorithms based on features...
The pulse waveform characteristic point detection is important for non-invasively detecting cardiovascular parameters. A novel designed algorithm based on wavelet transform (WT) is developed. For some pulse waveforms, characteristic points exactly correspond to the zero-crossing of a wavelet with one vanishing moment, while the others incompletely correspond to. And characteristic points also correspond...
To analyze harmonic accurately is significant to the stability of power system. HHT (Hilbert-Huang Transform) is adopted to analyze harmonic in order to overcome the shortcoming of FFT method and wavelet analysis method. The power quality signals are decomposed by empirical mode decomposition (EMD) method, and then a series of intrinsic mode function (IMF) are obtained. Owing to different IMFs correspond...
ldquoCollege Fundamentals of computerrdquo is a compulsive subject of students in the non-computer majors of college and universities. In this paper, it analyzes the status of the college computer public course in the request of quality-oriented education. And find several practical and feasible teaching methods.
The classification and copyright protection of digital map were described in this paper. After the basic theories of digital watermarking were introduced, the technologies that have been used in vector map digital watermarking were analyzed, and its classification of algorithms was expatiated on. Finally the possible directions for further research were pointed out.
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