Securities fraud is a common worldwide problem, resulting in serious negative consequences to securities market each year. Securities Regulatory Commission from various countries has also attached great importance to ...Securities fraud is a common worldwide problem, resulting in serious negative consequences to securities market each year. Securities Regulatory Commission from various countries has also attached great importance to the detection and prevention of securities fraud activities. Securities fraud is also increasing due to the rapid expansion of securities market in China. In accomplishing the task of securities fraud detection, China Securities Regulatory Commission (CSRC) could be facilitated in their work by using a number of data mining techniques. In this paper, we investigate the usefulness of Logistic regression model, Neural Networks (NNs), Sequential minimal optimization (SMO), Radial Basis Function (RBF) networks, Bayesian networks and Grammar Based Genet- ic Programming (GBGP) in the classification of the real, large and latest China Corporate Securities Fraud (CCSF) database. The six data mining techniques are compared in terms of their performances. As a result, we found GBGP outperforms others. This paper describes the GBGP in detail in solving the CCSF problem. In addition, the Synthetic Minority Over-sampling Technique (SMOTE) is applied to generate synthetic minority class examples for the imbalanced CCSF dataset.展开更多
Li Xinfeng, a research fellow at the Chinese Academy of Social Scienc- es, served as the chief correspond- ent with the People＇s Daily in South Africa from 1998 to 2005. Li was in charge of the news coverage in the s...Li Xinfeng, a research fellow at the Chinese Academy of Social Scienc- es, served as the chief correspond- ent with the People＇s Daily in South Africa from 1998 to 2005. Li was in charge of the news coverage in the southern, eastern and central African regions and traveled across the continent, visiting over 20 AfrF can countries. His bookA Reporter＇s Exploration： Following Zheng He＇s Footsteps in Africa, marks China＇s first book on Zheng He＇s voyage to Africa, which filled the gap in the research on the history of Sino-African relations. Back in the 15th century, Zheng He, a famous Chinese admiral, sailed with his fleet as far as East Africa. Recently, Li spoke to ChinAfrica about his ex- periences in Africa as a journalist.展开更多
Writers Wang Yan and Wu Fugui’s book guides Chinese readers through Sudan’s 25 states and districts as they witnessed them before the country’s split last year HOW much is actually known about arab states-particula...Writers Wang Yan and Wu Fugui’s book guides Chinese readers through Sudan’s 25 states and districts as they witnessed them before the country’s split last year HOW much is actually known about arab states-particularly that of Sudan in North africa？ Looking closely at this question, it becomes clear that there is much still un展开更多
Peer-to-peer technologies have attracted increasing research attention with fruitful protocols and applications proposed for wired networks. As to mobile environments, there are currently no mature deployments. A nove...Peer-to-peer technologies have attracted increasing research attention with fruitful protocols and applications proposed for wired networks. As to mobile environments, there are currently no mature deployments. A novel resource managing and discovering protocol, Cheer, is proposed to realize scalable and effective peer-to-peer lookup in wireless self-organized networks. Cheer resolves the topologies mismatch problem between peer-to-peer overlay networks and actual nodes distribution, allowing for frequent nodes membership changes. With specially designed resource storage table, Cheer also supports multikey and fuzzy lookup. Its hybrid architecture and improved routing scheme based on small-world theory may realize effective lookup routing. Theoretical analysis and simulation results both prove that Cheer makes using peer-to-peer applications in large-scale self-organized mobile networks feasible and promising.展开更多
Nothing beats bargaining in a Beijing clothes market. As an American student, it's a completely novel experience, a great way to practice your Chinese, and gives you the feeling of discovering the real Beijing. Th...Nothing beats bargaining in a Beijing clothes market. As an American student, it's a completely novel experience, a great way to practice your Chinese, and gives you the feeling of discovering the real Beijing. The atmosphere is so different from shopping experiences in the United States. It seems here that it must be authentic展开更多
Located at the center of Beijing near Tiananmen Square,Qianmen Street, no more than 2 km long,has been a prosperous area for more than 600 years and has accumulated some long-standing stores.Many well-known Chinese st...Located at the center of Beijing near Tiananmen Square,Qianmen Street, no more than 2 km long,has been a prosperous area for more than 600 years and has accumulated some long-standing stores.Many well-known Chinese stores started their operations there.The reconstruction project aims to preserve the Qianmen Street’s history in its entirety. Qianshi hutong-the narrowest hutong in Beijing-is located there.At its展开更多
Dongcheng District, literally meaning eastern city, covers Beijing’s downtown area to the northeast of the central axis of old Beijing. The district has a total area of 25 square km and a population of 600,000. With ...Dongcheng District, literally meaning eastern city, covers Beijing’s downtown area to the northeast of the central axis of old Beijing. The district has a total area of 25 square km and a population of 600,000. With a large number of cultural and historical sites and tourist attractions,展开更多
Ningxia gaining luster as a tourist attraction in northwest China Crystal rivers, blue skies and flowering woods surround this city—you probably won’t believe it is Yinchuan, the capital city
An old industrial part of Beijing,known for its geomantic omens,will soon become a recreational area housing cultura and sporting facilities Shijingshan District,regarded as a geographically auspicious district,will s...An old industrial part of Beijing,known for its geomantic omens,will soon become a recreational area housing cultura and sporting facilities Shijingshan District,regarded as a geographically auspicious district,will soon become the site of the Capital Recreation District. The history of Shijingshan District,named after Shijingshan Hill,dates back at least 2,200 years.It occupies 86 square km,and the distance between the central area of the dis-展开更多
At present, 5G network technology is being applied to various social network modes, and it can provide technical and traffic support for social networks. Potential friendship discovery technology in 5G-enabled social ...At present, 5G network technology is being applied to various social network modes, and it can provide technical and traffic support for social networks. Potential friendship discovery technology in 5G-enabled social networks is beneficial for users to make potential friends and expand their range of activities and social hierarchy, which is highly sought after in today's social networks and has great economic and application value. However, the sparsity of the dominant user association dataset in 5G-enabled social networks and the limitations of traditional collaborative filtering algorithms are two major challenges for the friend recommendation problem. Therefore, in order to overcome these problems regarding previous models, we propose a Hybrid Ensemble Multiple Collaborative Filtering Model (HEMCF) for discovering potential buddy relationships. The HEMCF model draws on a special autoencoder method that can effectively exploit the association matrix between friends and additional information to extract a hidden representation of users containing global structural information. Then, it uses the random walk-based graph embedding algorithm DeepWalk to extract another hidden representation of users in the buddy network containing local structural information. Finally, in the output module, the HEMCF model stacks and multiplies the two types of hidden representations of users to ensure that the information mentioned above is concentrated in the final output to generate the final prediction value. The magnitude of the prediction value represents the probability of the users being friends, with larger values representing a high probability of the two users being friends, and vice versa. Experimental results show that the proposed method boosts the accuracy of the relationship prediction over baselines on 3 real-world public datasets dramatically.展开更多
In recent years, the process orientation requirements engineering field has received significant interest. However, dealing with ordinary users within an enterprise for developing as-is business process is very comple...In recent years, the process orientation requirements engineering field has received significant interest. However, dealing with ordinary users within an enterprise for developing as-is business process is very complex because this requires skills, responsibility, knowledge, and expertise of business processes. This research answers the following questions: 1) how to systematically gather information regarding as-is business process requirements in an informal environment and by non-expert users? and 2) how can an enterprise refine the identified business process with a semantic process model? The primary purpose of this research is to develop a supporting framework that is suitable for the definition of an as-is business process to be deployed within the enterprise environment. Hence, the focus is on gathering requirements to define the as-is business process. This framework concentrates on three significant aspects of this process: development, refinement, and serialization the semantics of the process model. To accomplish this objective, the LORS framework has been proposed, which consists of four phases (List, Order, Refinement, and Serialization). The framework presents a new unique technique to identify the business process, refine the process, and generate the model semantics. This study assumes that a simple and complete framework will help non-expert users define a high-quality as-is process, such that enhance and facilitate the matching process with existing reference models. We present a case study, evaluate the case study relative to specified criteria, and research the limitations and implications discovered from our research. This research concludes that the LORS framework is simple, flexible, visible, interactive, dynamic, and effective.展开更多
文摘Securities fraud is a common worldwide problem, resulting in serious negative consequences to securities market each year. Securities Regulatory Commission from various countries has also attached great importance to the detection and prevention of securities fraud activities. Securities fraud is also increasing due to the rapid expansion of securities market in China. In accomplishing the task of securities fraud detection, China Securities Regulatory Commission (CSRC) could be facilitated in their work by using a number of data mining techniques. In this paper, we investigate the usefulness of Logistic regression model, Neural Networks (NNs), Sequential minimal optimization (SMO), Radial Basis Function (RBF) networks, Bayesian networks and Grammar Based Genet- ic Programming (GBGP) in the classification of the real, large and latest China Corporate Securities Fraud (CCSF) database. The six data mining techniques are compared in terms of their performances. As a result, we found GBGP outperforms others. This paper describes the GBGP in detail in solving the CCSF problem. In addition, the Synthetic Minority Over-sampling Technique (SMOTE) is applied to generate synthetic minority class examples for the imbalanced CCSF dataset.
文摘Li Xinfeng, a research fellow at the Chinese Academy of Social Scienc- es, served as the chief correspond- ent with the People＇s Daily in South Africa from 1998 to 2005. Li was in charge of the news coverage in the southern, eastern and central African regions and traveled across the continent, visiting over 20 AfrF can countries. His bookA Reporter＇s Exploration： Following Zheng He＇s Footsteps in Africa, marks China＇s first book on Zheng He＇s voyage to Africa, which filled the gap in the research on the history of Sino-African relations. Back in the 15th century, Zheng He, a famous Chinese admiral, sailed with his fleet as far as East Africa. Recently, Li spoke to ChinAfrica about his ex- periences in Africa as a journalist.
文摘Writers Wang Yan and Wu Fugui’s book guides Chinese readers through Sudan’s 25 states and districts as they witnessed them before the country’s split last year HOW much is actually known about arab states-particularly that of Sudan in North africa？ Looking closely at this question, it becomes clear that there is much still un
基金supported by the National Natural Science Foundation of China(60672124)the Hi-Tech Research and Development Program of China(2007AA01Z221)
文摘Peer-to-peer technologies have attracted increasing research attention with fruitful protocols and applications proposed for wired networks. As to mobile environments, there are currently no mature deployments. A novel resource managing and discovering protocol, Cheer, is proposed to realize scalable and effective peer-to-peer lookup in wireless self-organized networks. Cheer resolves the topologies mismatch problem between peer-to-peer overlay networks and actual nodes distribution, allowing for frequent nodes membership changes. With specially designed resource storage table, Cheer also supports multikey and fuzzy lookup. Its hybrid architecture and improved routing scheme based on small-world theory may realize effective lookup routing. Theoretical analysis and simulation results both prove that Cheer makes using peer-to-peer applications in large-scale self-organized mobile networks feasible and promising.
文摘Nothing beats bargaining in a Beijing clothes market. As an American student, it's a completely novel experience, a great way to practice your Chinese, and gives you the feeling of discovering the real Beijing. The atmosphere is so different from shopping experiences in the United States. It seems here that it must be authentic
文摘Located at the center of Beijing near Tiananmen Square,Qianmen Street, no more than 2 km long,has been a prosperous area for more than 600 years and has accumulated some long-standing stores.Many well-known Chinese stores started their operations there.The reconstruction project aims to preserve the Qianmen Street’s history in its entirety. Qianshi hutong-the narrowest hutong in Beijing-is located there.At its
文摘Dongcheng District, literally meaning eastern city, covers Beijing’s downtown area to the northeast of the central axis of old Beijing. The district has a total area of 25 square km and a population of 600,000. With a large number of cultural and historical sites and tourist attractions,
文摘Ningxia gaining luster as a tourist attraction in northwest China Crystal rivers, blue skies and flowering woods surround this city—you probably won’t believe it is Yinchuan, the capital city
文摘An old industrial part of Beijing,known for its geomantic omens,will soon become a recreational area housing cultura and sporting facilities Shijingshan District,regarded as a geographically auspicious district,will soon become the site of the Capital Recreation District. The history of Shijingshan District,named after Shijingshan Hill,dates back at least 2,200 years.It occupies 86 square km,and the distance between the central area of the dis-
基金supported by National Key R&D Program of China(Grant No:2018YFC0407904)Key Research Projects of Tibet Autonomous Region for Innovation and Entrepreneur(Grant No.Z2016D01G01/01).
文摘At present, 5G network technology is being applied to various social network modes, and it can provide technical and traffic support for social networks. Potential friendship discovery technology in 5G-enabled social networks is beneficial for users to make potential friends and expand their range of activities and social hierarchy, which is highly sought after in today's social networks and has great economic and application value. However, the sparsity of the dominant user association dataset in 5G-enabled social networks and the limitations of traditional collaborative filtering algorithms are two major challenges for the friend recommendation problem. Therefore, in order to overcome these problems regarding previous models, we propose a Hybrid Ensemble Multiple Collaborative Filtering Model (HEMCF) for discovering potential buddy relationships. The HEMCF model draws on a special autoencoder method that can effectively exploit the association matrix between friends and additional information to extract a hidden representation of users containing global structural information. Then, it uses the random walk-based graph embedding algorithm DeepWalk to extract another hidden representation of users in the buddy network containing local structural information. Finally, in the output module, the HEMCF model stacks and multiplies the two types of hidden representations of users to ensure that the information mentioned above is concentrated in the final output to generate the final prediction value. The magnitude of the prediction value represents the probability of the users being friends, with larger values representing a high probability of the two users being friends, and vice versa. Experimental results show that the proposed method boosts the accuracy of the relationship prediction over baselines on 3 real-world public datasets dramatically.
文摘In recent years, the process orientation requirements engineering field has received significant interest. However, dealing with ordinary users within an enterprise for developing as-is business process is very complex because this requires skills, responsibility, knowledge, and expertise of business processes. This research answers the following questions: 1) how to systematically gather information regarding as-is business process requirements in an informal environment and by non-expert users? and 2) how can an enterprise refine the identified business process with a semantic process model? The primary purpose of this research is to develop a supporting framework that is suitable for the definition of an as-is business process to be deployed within the enterprise environment. Hence, the focus is on gathering requirements to define the as-is business process. This framework concentrates on three significant aspects of this process: development, refinement, and serialization the semantics of the process model. To accomplish this objective, the LORS framework has been proposed, which consists of four phases (List, Order, Refinement, and Serialization). The framework presents a new unique technique to identify the business process, refine the process, and generate the model semantics. This study assumes that a simple and complete framework will help non-expert users define a high-quality as-is process, such that enhance and facilitate the matching process with existing reference models. We present a case study, evaluate the case study relative to specified criteria, and research the limitations and implications discovered from our research. This research concludes that the LORS framework is simple, flexible, visible, interactive, dynamic, and effective.
