Techniques for indexing large and complex datasets with missing attribute values.
Due to the increasing amount and complexity of data processed in real world applications, similarity search became a vital task to store and retrieve such data. However, missing attribute values are very frequent and metric access methods (MAMs), designed to support similarity search, do not ope...
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| Language: | English |
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Universidade de São Paulo
2016
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| Online Access: | http://www.teses.usp.br/teses/disponiveis/55/55134/tde-01122016-150947/ |