The Olympic Games, as the global sports event, attract many countries in the world to participate in and they always take obtaining the right of holding it as the pride of the country. With the constant development of...The Olympic Games, as the global sports event, attract many countries in the world to participate in and they always take obtaining the right of holding it as the pride of the country. With the constant development of the Olympic Games, people have proposed higher requirements for it and the reformation is eagerly needed and the reformation is mainly concentrated on the item setting. According to a large amount of theoretical research to the item setting of Olympic Games in academia, there is big issue about the item setting for the current Summer Olympic Games which has sustained for a long time. Its practical representations are the contradiction between narrowing the scope of the Olympic Games and borrowing in the new items and the contradiction of gender equality in item setting and also the contradiction of balancing the business value and social value. Therefore, this thesis will mainly study on the evolution and value of the item setting of the Summer Olympic Games and propose reasonable improvement measures for the issue of the item setting, combining with the practical conditions, and thus to better promote the sustain development of the Summer Olympic Games.展开更多
A novel binary particle swarm optimization for frequent item sets mining from high-dimensional dataset(BPSO-HD) was proposed, where two improvements were joined. Firstly, the dimensionality reduction of initial partic...A novel binary particle swarm optimization for frequent item sets mining from high-dimensional dataset(BPSO-HD) was proposed, where two improvements were joined. Firstly, the dimensionality reduction of initial particles was designed to ensure the reasonable initial fitness, and then, the dynamically dimensionality cutting of dataset was built to decrease the search space. Based on four high-dimensional datasets, BPSO-HD was compared with Apriori to test its reliability, and was compared with the ordinary BPSO and quantum swarm evolutionary(QSE) to prove its advantages. The experiments show that the results given by BPSO-HD is reliable and better than the results generated by BPSO and QSE.展开更多
This paper discusses on the detection of outliers by hybridizing Rough_Outlier Algorithm with Negative Association Rules. An optimization algorithm named Binary Particle Swarm Optimization is used to improve the compu...This paper discusses on the detection of outliers by hybridizing Rough_Outlier Algorithm with Negative Association Rules. An optimization algorithm named Binary Particle Swarm Optimization is used to improve the computation of Non_Reduct in order to detect outliers.By using Binary PSO algorithm, the rules generated from Rough_Outliers algorithm is optimized, giving significant outliers object detected. The detection ofoutliers process is then enhanced by hybridizing it with Negative Association Rules. Frequent and Infrequent item sets from outlier rules are generated. Results show that the hybrid Rough_Negative algorithm is able to uncover meaningful knowledge of outliers from the frequent and infrequent item sets. These knowledge can then be used by experts in their field of domain for better decision making.展开更多
Several algorithms in data mining technique have been studied recently, among which association is one of the most important techniques. In this paper, we introduce theory of association rule in data mining, and analy...Several algorithms in data mining technique have been studied recently, among which association is one of the most important techniques. In this paper, we introduce theory of association rule in data mining, and analyze the characteristics of postal EMS service. We create a data warehouse model for EMS services and give the procedure of applying association rule mining based on it. In the end, we give an example of the whole mining procedure. This EMS Data warehouse model and association rule mining technique have been applied in a practical Postal CRM System.展开更多
文摘The Olympic Games, as the global sports event, attract many countries in the world to participate in and they always take obtaining the right of holding it as the pride of the country. With the constant development of the Olympic Games, people have proposed higher requirements for it and the reformation is eagerly needed and the reformation is mainly concentrated on the item setting. According to a large amount of theoretical research to the item setting of Olympic Games in academia, there is big issue about the item setting for the current Summer Olympic Games which has sustained for a long time. Its practical representations are the contradiction between narrowing the scope of the Olympic Games and borrowing in the new items and the contradiction of gender equality in item setting and also the contradiction of balancing the business value and social value. Therefore, this thesis will mainly study on the evolution and value of the item setting of the Summer Olympic Games and propose reasonable improvement measures for the issue of the item setting, combining with the practical conditions, and thus to better promote the sustain development of the Summer Olympic Games.
文摘A novel binary particle swarm optimization for frequent item sets mining from high-dimensional dataset(BPSO-HD) was proposed, where two improvements were joined. Firstly, the dimensionality reduction of initial particles was designed to ensure the reasonable initial fitness, and then, the dynamically dimensionality cutting of dataset was built to decrease the search space. Based on four high-dimensional datasets, BPSO-HD was compared with Apriori to test its reliability, and was compared with the ordinary BPSO and quantum swarm evolutionary(QSE) to prove its advantages. The experiments show that the results given by BPSO-HD is reliable and better than the results generated by BPSO and QSE.
文摘This paper discusses on the detection of outliers by hybridizing Rough_Outlier Algorithm with Negative Association Rules. An optimization algorithm named Binary Particle Swarm Optimization is used to improve the computation of Non_Reduct in order to detect outliers.By using Binary PSO algorithm, the rules generated from Rough_Outliers algorithm is optimized, giving significant outliers object detected. The detection ofoutliers process is then enhanced by hybridizing it with Negative Association Rules. Frequent and Infrequent item sets from outlier rules are generated. Results show that the hybrid Rough_Negative algorithm is able to uncover meaningful knowledge of outliers from the frequent and infrequent item sets. These knowledge can then be used by experts in their field of domain for better decision making.
文摘Several algorithms in data mining technique have been studied recently, among which association is one of the most important techniques. In this paper, we introduce theory of association rule in data mining, and analyze the characteristics of postal EMS service. We create a data warehouse model for EMS services and give the procedure of applying association rule mining based on it. In the end, we give an example of the whole mining procedure. This EMS Data warehouse model and association rule mining technique have been applied in a practical Postal CRM System.
