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With the proliferation of mobile devices and the adoption of mobile applications in most daily-life activities, it is necessary for mobile-application construction to become more efficient and systematic and less costly. In this paper, we describe a code-generation environment, namely WL++, for mobile applications accessing Restful back-ends. Our framework (a) extracts the data models of the to-be-generated...
REpresentational State Transfer (REST) today represents and transfers the data-states of distrib-uted resources. Through hypermedia-based inter-actions among these representations and transfers, the web's original goal of information retrieval is accomplished. However, despite of the fact that the web today has evolved beyond information retrieval into task executions, the original web interaction...
Mining data streams for frequent patterns is important in many applications. Unlike traditional static databases, the underlying process that generates the data streams evolves over time. Past data may become outdated and of little use when compared to the most recent one. When a significant change occurs, much harm is done to the mining result if it is not properly handled. In this paper, an online...
In this paper, we present an online stochastic approach for landmine detection based on ground penetrating radar (GPR) signals using sequential Monte Carlo (SMC) methods. Since the existence of true landmines is unknown and random, we propose to use the reversible jump Markov chain Monte Carlo (RJMCMC) in association with the SMC methods to jointly detect and localize landmines in the light of observations...
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, research on correlation mining from graph databases is still lacking despite the proliferation of graph data in recent years. We propose a new problem of correlation mining from graph databases, called correlated graph search (CGS). CGS adopts Pearson's...
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