Data-Intensive Text Processing with MapReduce
نویسندگان
چکیده
منابع مشابه
Data-Intensive Text Processing with MapReduce
Over the past couple of decades, the field of natural language processing (and more broadly, human language technology) has seen the emergence and later dominance of empirical techniques and data-driven research. An impediment to research progress today is the need for scalable algorithms to cope with the vast quantities of available data. The only practical solution to large-data challenges to...
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The amount of information in spatial databases is growing as more data is made available. Spatial databases mainly store two types of data: raster data (satellite/aerial digital images), and vector data (points, lines, polygons). The complexity and nature of spatial databases makes them ideal for applying parallel processing. MapReduce is an emerging massively parallel computing model, proposed...
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ژورنال
عنوان ژورنال: Synthesis Lectures on Human Language Technologies
سال: 2010
ISSN: 1947-4040,1947-4059
DOI: 10.2200/s00274ed1v01y201006hlt007