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Modern search engines provide users with suggested query completions. These search suggestions are often ambiguous in nature and could refer to any number of homonyms. Previously we used a static ontology built from data in Wikipedia to address this issue. Here, we present a method for dynamically building an ontology of "famous people" based on mining the suggested completions of a search...
This paper explores the associations between personality traits and performance indicators. CCA (Canonical Correlation Analysis) is applied to analyze and optimize the correlations between the two groups of original data, find out the maximum canonical correlation coefficient, convert raw variables into canonical variables. Using sample data, the authors make a detailed explanation for modeling process,...
With the appearance of large-scale database and people's increasing concern about individual privacy, privacy-preserving data mining becomes a hot study area, to which the support vector machine(SVM) belongs. In this paper, a novel privacy-preserving SVM for horizontally partitioned data is given. It has comparable accuracy to that of an ordinary SVM as we obtain the SVM by using the distinct property...
Although 2 -adic complexity was proposed more than ten years ago, even for m -sequences which are thought of as the most important linear recurring sequences, no theoretical results about their 2-adic complexity has been presented. In this paper, it is shown that for a binary m-sequence, its 2-adic complexity attains the maximum, which implies that no feedback with carry shift registers (FCSRs) with...
Taking the videophone for example, this study developed a process and method of product form perception based on customer preferences. This study proposed the process of product form perception evaluation scale which includes 17 appraisal words and 10 representative pictures by questionnaires, multidimensional scaling, and cluster analysis method. Then it established the relationship model between...
Dual-response surface method is a powerful method for simultaneously optimizing the mean and the variance of responses in quality engineering, in which the minimization of the mean squared error (MSE) is an effective approach. To date, the relative weights of bias and variance have been equally set or determined only by the data. However, the weights should be determined according to the tradeoffs...
In RFID system, a critical issue is security and privacy problem. Firstly, several typical methods to against security and privacy problems are introduced, then based on this protocols, and aim at the shortages in them and other improved ones which provided by some literatures, we propose a new improved scheme based on hash function. The modified scheme resists illegal access, tracking, eavesdropping,...
Replica value determination plays an important role in the problem of replication in data grid, since only replicating high value replicas can improve the replication efficiency. However, replica value determination methods applied now do not perform well, because they cannot well adapt to the changes of file access patterns. We address this problem by introducing a new replica value determination...
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