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In view of the problems of the current teaching content being out of touch with social needs and students' poor practical abilities and other issues, this paper analyzes the new international software engineering training model. Based on the iterative optimization method of updating the teaching idea, optimizing the curriculum system, strengthening the schoolenterprise cooperation and improving teachers'...
With the rapid development of Internet, how to obtain valuable information from massive messages has become a major problem we need to be solved in the information explosive era. This paper introduces the development route of information extraction technology, and discusses four categories of Chinese entity relation extraction technologies in depth. Finally, the advantages and disadvantages of different...
The research of malicious comments in sina weibo is very important. Because a large number of malicious comments seriously undermine the user experience in sina weibo. Based on the malicious comments detection technology named semantic information, this paper gives a different technology which improves the process of malicious dictionary construction and the process of malicious comments detection...
An improved KNN text classification algorithm based on Simhash has been proposed by introducing Simhash and the average Hamming distance of adjacent texts as a unit, which solves the problems caused by data imbalance and the large computational overhead in the traditional KNN text classification algorithms. Experimental results demonstrate that the proposed algorithm performs a higher precision, a...
In order to improve booking tickets experience of the users of Railway Online Ticketing System and ensure the system normally running, Railway Online Ticketing System's users abnormality booking the tickets detection model based on the traditional K-Means and FP-Growth algorithm is proposed. Firstly, preliminary filter user features by the Random Forest Algorithm based on Spark MLlib to identify the...
With the rapid development of mobile Internet, android system becomes the absolute overlord of the operating system, which has an unparalleled influence to the smart phone industry, but also closely related with people's lives. However, the feature of open source and lacking of regulatory of Android system led to a lot of security risks. Because of the widespread use of Android Intent Mechanism, the...
Tools to generate game-based learning materials are seldom implemented in Massive Open Online Course (MOOC) platforms. First experiments with game-based learning MOOCs had shown good results. In my research, I will focus on the integration of game-based learning to the openHPI MOOC platform. The use of game-based learning materials will be evaluated in three iterations: (1) by existing means the platform...
Learning evaluation in larger online university courses has become a challenge, especially in those cases when learning focuses on the development of professional skills. The objective of this article is to analyze how "authentic Assessment" applied by students correlate with the judgment of the teaching team, in the framework of a course for business and administration students. The results...
While there is a large amount of text data on the Internet, people need to organize the text data with experienced category. However, the flat structure of categories could not satisfy the modern information management. To solve this problem, we propose a hierarchical classification process with a strategy, called candidates, used to relieve the blocking problems. Besides, we establish the description...
Nowadays cross-media retrieval is an useful technology that helps people find expected information from the huge amount of multimodal data more efficiently. A common cross-media retrieval framework is first to map features of different modalities into an isomorphic semantic space so that the similarity between heterogeneous data can be measured. For most of semantic space based methods, the mapping...
With the explosive growth of information on the Internet, it becomes more and more important to improve the efficiency of information acquisition. Automatic text summarization provides a good means for quick acquisition of information through compression and refinement. While existing methods for automatic text summarization achieve elegant performance on short sequences, however, they are facing...
Objective explore the effect that solution-focused group counseling improve college students' interpersonal relationship; Methods the group members are recruited by campus radio, Internet, posters and other forms, 36 students are selected by using comprehensive diagnosis scale of interpersonal relationship, and the pairings are divided into experimental group and control group, each group are 18 people...
There are still many people think that learning Mathematics in English causes students difficulty in obtaining a good score. Therefore, the authors conducted research related to the use of English in teaching Mathematics, for grade 7 junior high school in a private national plus school. The purpose of this study is for the reader to open up further insights related to the topic above. This research...
In this research, we conducted a questionnaire survey and interview on the current state of flipped classrooms for university faculty members in order to obtain teacher support methods. The survey showed that flipped classrooms are practiced with various subjects and class sizes, which indicates the necessity of support for a wide range of subjects. In the educational method, the authors found that...
The background of this paper is the issue of how to overview the knowledge of a given query keyword. Especially, we focus on concerns of those who search for Web pages with a given query keyword. The Web search information needs of a given query keyword is collected through search engine suggests. Given a query keyword, we collect up to around 1,000 suggests, while many of them are redundant. We cluster...
Linking the growing IPv6 deployment to existing IPv4 addresses is an interesting field of research, be it for network forensics, structural analysis, or reconnaissance. In this work, we focus on classifying pairs of server IPv6 and IPv4 addresses as siblings, i.e., running on the same machine. Our methodology leverages active measurements of TCP timestamps and other network characteristics, which...
Social media constitute nowadays one of the most common communication mediums. Millions of users exploit them daily to share information with their community in the network via messages, referred as posts. The massive volume of information shared is extremely diverse and covers a vast spectrum of topics and interests. Automatically identifying the topics of the posts is of particular interest as this...
The financial market is very fickle and investors have the difficult task of following and trying to predict the swings of the market so that their strategies result in better financial returns. With the use of Big Data and Bayesian mathematical statistics based on prior knowledge and examples of training to determine the likelihood of a hypothesis, financial news can be tracked continuously and affecting...
The computer interaction may be an alternative to developing cognition in older people. The objective of the study was to evaluate the cognitive functions of elderly people who participated in interaction processes in a social network on the Internet. The research is a randomized, interventional and descriptive-analytical clinical type. The study sample consisted of 41 elderly women from Brazil. The...
with the development of Internet, many companies announced the stock information by various medium, and stock buyers comment that information as well as make rational investment strategies to maximize their profit. At present, many retail investors, who lack of channels to obtain real information, scarce professional knowledge of investment theory and easy to be affected by public opinion of Internet,...
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