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Provides an abstract for each of the presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
Data mining provides educational institutions the capability to explore, visualize and analyze large amounts of data in order to reveal valuable patterns in students' learning behaviors without having to resort to traditional survey methods (Hung & Crooks, 2009; Abdous & He, 2011). Turning raw data into useful information and knowledge also enables educational institutions to improve teaching...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
With equity-based crowdfunding, an entrepreneur raises financing from a large number of individuals, instead of soliciting a small group of investors. This paper compares two forms of financing: the equity-based crowdfunding and the traditional loan form. We conclude that the equity-based crowdfunding can raises larger number of money for entrepreneurs than the traditional loan form owing to the entrepreneurs'...
In this paper, the automatic prediction of micro-blog users' attribute information is modeled as a multi-label classification process considering the relevance and co-occurrence of user attributes instead of single-label or regression, where each user has more than one attribute. Two basic and one improved multi-label classification methods are evaluated and compared in this task. Taking micro-blogging...
To gain insights into the evolution of social networks, in this paper, we study social networks constructed from the relationship of reposting and being reposted in Sina microblog, the most popular social networking website in China. We focus on a case of protecting plane trees in Nanjing, China. The event was aimed to protest Nanjing government for transplanting thousands of plane trees with superb...
Microblog is one of the most influential social media platforms. Timely prediction of the popular tweet in microblog is of great value in monitoring emergency monitoring, public opinions, personalized recommendations, marketing and other areas. This paper presents our improved method for predicting popularity of tweet in microblog. Firstly, we propose some new dynamic features, such as retweet depth,...
Semantic relatedness or semantic similarity between words is an important basic issue for many Natural Language Processing (NLP) applications, such as sentence retrieval, word sense disambiguation, question answering, and so on. This research issue attracts many researchers, but most of studies focus on improving the effectiveness, i.e., applying kinds of techniques to improve precision (effectiveness)...
Currently microblog search engines have the function to find related users according to input topic keywords. Traditional approaches rank users by their authentication information or their self descriptions (introductions or labels).However, many users may not publish the posts closely related to their certification profile. In this paper, we study the problem of identifying domain-dependent influential...
Using the internet for online information search has become the current main channel of getting information when tourists design a travel plan. However, with the rise of the internet and e-commerce websites, tourists are often submerged in a lot of information search and product selection. According to the customer service information of travel website, design a personalized travel package recommendation...
Determining the influence or strength of a country has become increasingly important for the world's politics, economics, culture, foreign policy, international trade, military, among others. While the issue has been tackled by researchers for decades, the results obtained so far have been largely static and unsatisfactory. By constructing daily matrices from a massive political events data, the Global...
The problem of matrix completion has been gaining increasing attention among the data mining, knowledge discovery and related research communities. Factorization is one approach to solve the problem. There are good factorization methods, such as Singular value decomposition (SVD) and Non-negative matrix factorization (NMF) which could get a rather satisfied results when dealing with real-valued data...
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