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Over the past few years, the rapid emergence of massive open online courses (MOOCs) has sparked a great deal of research interest in MOOC data analytics. Dropout prediction, or identifying students at risk of dropping out of a course, is an important problem to study due to the high attrition rate commonly found on many MOOC platforms. The methods proposed recently for dropout prediction apply relatively...
With the development of smart meters and data collection techniques, we now can get energy consumption information in real time. Research shows that providing appliance-level energy information can better promote energy conservation than providing total energy information. Previous work on detecting appliance-level energy information either relies on a range of smart meters to detect each appliance's...
Mobility prediction has recently attracted plenty of attention since it plays an important part in many applications ranging from urban planning and traffic forecasting to location-based services, including mobile recommendation and mobile advertisement. However, there is little study on exploiting the activity information, being often associated with the trajectories on which prediction is based,...
Confronted with flerce competition, an increasing number of telecommunication companies in China realize that they can increase proflts by reducing the rate of customer churn rather than attracting the same number of new customers. Recently, the availability of big data has increased, which has stimulated the development of data mining techniques. Identifying methods by which to maximize proflts is...
With the ubiquitous Internet applications brought by widespread popularity of smart device, an exhaustive understanding of user behavior is becoming essential for Internet Service Providers (ISPs) to implement network management and resource optimization. Existing researches on mobile user behavior principally focus on studying people's application interests and mobility properties, especially characterizing...
Text segmentation (TS) aims at dividing long textinto coherent segments which reflect the subtopic structure of the text. It is beneficial to many natural language processing tasks, such as Information Retrieval (IR) and document summarisation. Current approaches to text segmentation are similar in that they all use word-frequency metrics to measure the similarity between two regions of text, so that...
TextServer is an efficient language analysis platform which offers a variety of robust NLP services for a wide range of languages. Services can be easily accessed via a web interface, where document collections can either be uploaded and sent to batch processing, or processed in real-time via interactive calls to a web-service from any application running on a remote computer or mobile device. The...
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