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In this work, we focus on modeling user-generated review and overall rating pairs, and aim to identi..
The analysis of large amounts of multidimensional
road traffic data for anomaly detection is a comp..
Pattern mining is one of the most important tasks
to extract meaningful and useful information from..
Virtualized infrastructure in cloud computing has become an attractive target for cyberattackers to ..
Every day a large number of Earth observation (EO)
spaceborne and airborne sensors from many diffe..
Biomedical research often involves studying patient data that contain personal information.
The world is facing problems such as uneven distribution of medical resources, the growing chronic d..
Increasing popular big data applications bring about
invaluable information, but along with challe..
Recently, collaborative filtering-based methods are widely used for service recommendation. Qo..
With today’s massive jobs spanning thousands of tasks each, cost-optimality has become more importan..
Today’s Internet content providers primarily use Content Delivery Networks (CDNs) to deliver content..
The clinical documents maintained are a pool of information regarding the infected patients. By keep..
In literature, the task of learning a support vector machine for large datasets has been performed b..
With the advent of electronic health records, more
data is continuously collected for individual pa..
With big data growth in biomedical and healthcare
communities, accurate analysis of medical data be..