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
With technology getting to the next level, many resources cannot only educate our children and youth, but also let them know what our religion is all about. The idea is to educate and make our children aware, but in a...With technology getting to the next level, many resources cannot only educate our children and youth, but also let them know what our religion is all about. The idea is to educate and make our children aware, but in a way that makes them happy and suits the cause. Designing an application, which let users know about various verses and words of Holy Quran in easy way, is very important. This study helps children to relate all those words with real life, reel life and later then will recognize them easily. The illustration in this study plays a key role to do the research in a right way. In this paper, the application can do a lot of experiment with puzzle and other random applications. Moreover, that application gives children an opportunity to use their brain in order to recognize, the Quranic words in an innovative way, which will serve them in the knowledge about the Holy Quran. From our experiential results around 50% of Children using this application for our dataset were satisfied with the application.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With technology getting to the next level, many resources cannot only educate our children and youth, but also let them know what our religion is all about. The idea is to educate and make our children aware, but in a way that makes them happy and suits the cause. Designing an application, which let users know about various verses and words of Holy Quran in easy way, is very important. This study helps children to relate all those words with real life, reel life and later then will recognize them easily. The illustration in this study plays a key role to do the research in a right way. In this paper, the application can do a lot of experiment with puzzle and other random applications. Moreover, that application gives children an opportunity to use their brain in order to recognize, the Quranic words in an innovative way, which will serve them in the knowledge about the Holy Quran. From our experiential results around 50% of Children using this application for our dataset were satisfied with the application.
