This paper has proposed a new methodology extracting stability classes of field association words depending on automatically power link analysis to enhance the precision of decision tree. In this paper, we have studie...This paper has proposed a new methodology extracting stability classes of field association words depending on automatically power link analysis to enhance the precision of decision tree. In this paper, we have studied the effects of the time variation based on the frequencies of specific words called field association words that connected to documents using power link in a specific period. The stability classes have referred to the popularity of field association words based on the change of time in a given period. The new approach has evaluated by conducting experiments simulating results of 1575 files (about 5.16 MB). Based on these experiments, it has turned out that, the F-measure for ascending, stable and descending classes have achieved 93.6%, 99.8% and 75.7%, respectively. These results mean that F-measure was increasing by 12%, 4% and 34% than traditional methods because of the power link analysis.展开更多
[Objective] The aim was to explore climatic characteristics of cold and frost disaster and the effects on flowers and trees in mountain city in 2010. [Method] Extremism of cold and frost disaster in temperature and la...[Objective] The aim was to explore climatic characteristics of cold and frost disaster and the effects on flowers and trees in mountain city in 2010. [Method] Extremism of cold and frost disaster in temperature and lasting period, and the effects on flowers and trees in 2010 were researched based on information of average ten-day temperatures and extreme lowest temperature in 1951-2010 and Michelia alba DC. growth in a Hou in 2008-2010, as per statistical analysis technique. [Result] Cold and frost disaster in winter of 2010 proved the longest in lasting period, lowest in average temperature, and most serious for flowers and trees, resulting in serious loss of flowers and trees in Beibei area. [Conclusion] Countermeasures in the research would reduce owners’ loss in flowers and trees.展开更多
文摘This paper has proposed a new methodology extracting stability classes of field association words depending on automatically power link analysis to enhance the precision of decision tree. In this paper, we have studied the effects of the time variation based on the frequencies of specific words called field association words that connected to documents using power link in a specific period. The stability classes have referred to the popularity of field association words based on the change of time in a given period. The new approach has evaluated by conducting experiments simulating results of 1575 files (about 5.16 MB). Based on these experiments, it has turned out that, the F-measure for ascending, stable and descending classes have achieved 93.6%, 99.8% and 75.7%, respectively. These results mean that F-measure was increasing by 12%, 4% and 34% than traditional methods because of the power link analysis.
文摘[Objective] The aim was to explore climatic characteristics of cold and frost disaster and the effects on flowers and trees in mountain city in 2010. [Method] Extremism of cold and frost disaster in temperature and lasting period, and the effects on flowers and trees in 2010 were researched based on information of average ten-day temperatures and extreme lowest temperature in 1951-2010 and Michelia alba DC. growth in a Hou in 2008-2010, as per statistical analysis technique. [Result] Cold and frost disaster in winter of 2010 proved the longest in lasting period, lowest in average temperature, and most serious for flowers and trees, resulting in serious loss of flowers and trees in Beibei area. [Conclusion] Countermeasures in the research would reduce owners’ loss in flowers and trees.
