Mathew et al., 2014 - Google Patents

Efficient information retrieval using Lucene, LIndex and HIndex in Hadoop

Mathew et al., 2014

Document ID: 3488108337452459678
Author: Mathew A; Pattnaik P; Kumar S
Publication year: 2014
Publication venue: 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)

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The growth of unstructured and partially-structured data in biological networks, social media, geographical information and other web-based applications present an open challenge to the cloud database community. Hence, the approach to exhaustive BigData analysis that …

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Gan et al.	2019	A survey of parallel sequential pattern mining
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Mathew et al., 2014 - Google Patents

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