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Spatial SQL (structured query language) is a powerful tool for systematically solving geographic problems, however, it has not been widely applied to the problem of geographic question answering. This paper introduces a parameterized approach to translate natural language geographic questions into spatial SQLs. In particular, three types of complexity are introduced and initial solutions are proposed...
Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information. Its revolutionary potential is now universally recognized. Data complexity, heterogeneity, scale, and timeliness make data analysis a clear bottleneck in many biomedical applications, due to the complexity of the patterns...
Twitter-based messages have presented challenges in the identification of features as applied to classification. This paper explores filtering techniques for improved trend detection and information extraction. Starting with a pre-filtered source (Twitter), we will examine the application of both information theory and Natural Language Processing (NLP) based techniques as a means of preprocessing...
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