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In recent years, microblog has been experiencing an explosive growth, which brings much inconvenience to users to build a healthy social circle in this chaos online world. Friend recommendation can automatically recommend potential friends, filter out the useless information, and facilitate the healthy development of social network. A novel friend recommendation approach is proposed in this paper...
As data of information times increasing, Data mining has been widely used in every walk of life. This paper systemly analysises course and key technique of data mining based on summarizing concept of data mining. introduces data mining application in modern logistics system, points out that data mining can distill useful data form numerous and jumbled information and will offer powerful sustainment...
The Support Vector Machines (SVM) become popular E-Business data mining tools recently, and the datasets of E-Business are usually large-scale. If Support Vector Machines are trained on large-scale datasets, the training time will be very long and the classifier's accuracy will become lower too. As training a large-scale SVM is equated to solve a large-scale quadratic programming (QP) problem, so...
Against the low efficiency of training on large-scale SVM, a reduction approach based on kernel distance clustering is proposed. The kernel distance's formulation is brought in to cluster the highly-dimensioned dataset, and the clustering step will reduce a large amount of unsupport vectors during training, thereby, the training time will decrease. The experiments show that this new training algorithm...
The crosstalk in electromagnetic band-gap (EBG) structure is investigated in this paper. It is found that the crosstalk noise in EBG structure is worse than that in reference plane. More energy would be coupled to the victim line by the slots of EBG structure, which seriously affects the signal quality with high date rate, the near-end and far-end crosstalk coupling noise are increased by 10dB and...
Along with the rapid development of community housing construction, the housing healthy problem that has cropped up from the contemporary housing pattern has attracted extensive concern of both residents and researchers. Through data collection and analysis of real state investigation on various types of selected communities in Beijing and other cities, studies on application of data mining method...
The complex network model is the research foundation of complex network, so it is important to evaluate and select model objectively .There is no effective evaluation way up to now. An evaluating method using cloud model is proposed to decrease randomness and fuzziness existing in conventional evaluation. The results of simulating experiments prove that such uncertainty is solved well.
There are many challenges of using all kinds of handheld devices as learning tools, that can connect to the Remote Learning System by cable or wireless network and then browser the downloaded course contents. First of all, network connection, especially wireless link, is usually not persistent and wireless coverage is often limited. In this case, the handheld learning devices become useless and the...
The refinement of A* search is a technical issue. In this work, we show the construction of B-trees, which embodies the technical principles of networking. In this paper we verify that digital-to-analog converters can be made concurrent, perfect, and homogeneous.
Project manager’s speculation behaviors can be relieved by monitoring or incentives. Through mathematical models and game theory, this paper analyzes the optimal incentive contracts between enterprises and their project managers under asymmetric information condition in order to solve the problems in establishing incentive mechanism for project managers. Supervision mechanism is introduced and analyzed...
Evaluation of managerial performance is one of the most important problems in management science. Two stage relative efficiency model, a newly named analytical method, is presented here in order to evaluate managerial performance fairly. This method evaluates managerial performance by eliminating the influence of existing conditions. Empirical results show that managers in firms with relatively superior...
Enterprise commercial age is an important branch of enterprise bionics. Japanese scholars put forward the concept of commercial age and built a model to measure it in the 1960s. Chinese scholars have devoted a lot of energy in this area, however, there is still lack of empirical research to some extent by now. Considering the characteristics of corporations nowadays, we further modified the Japanese...
Downhole Oil-Water Separator (DHOWS) is applied to separate oil from water under the well, separated oil is lifted to ground and output water is injected directly into another level. It is helpful to reduce environmental pollution, and avoid the invalid water cycling. In view of our native status in oil production, DHOWS with different inlet patterns are studied by CFD method and experiment research...
The incentive mechanism for independent directors has yet to be established so far. Through mathematical models and game theory, this paper analyzes the optimal incentive contracts between stockholders and independent directors under asymmetric information condition in order to solve the problems in establishing incentive mechanism for independent directors. Supervision mechanism is introduced and...
Two-stage relative efficiency model, a newly named analytical method, is presented here in order to measure managerial performance fairly. This method evaluates managerial performance by eliminating the influence of existing conditions. Empirical results show that managers in firms with relatively superior existing conditions still need to work hard to maintain their competitiveness and achieve better...
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