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Titlebook: Big Data Analytics; Second International Vasudha Bhatnagar,Srinath Srinivasa Conference proceedings 2013 Springer International Publishing

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發(fā)表于 2025-3-25 04:44:11 | 只看該作者
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發(fā)表于 2025-3-25 10:43:28 | 只看該作者
0302-9743 edings of the Second International Conference on Big Data Analytics, BDA 2013, held in Mysore, India, in December 2013. The 13 revised full papers were carefully reviewed and selected from 49 submissions and cover topics on mining social media data, perspectives on big data analysis, graph analysis,
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發(fā)表于 2025-3-25 14:34:10 | 只看該作者
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發(fā)表于 2025-3-25 19:30:18 | 只看該作者
Demonstrator of a Tourist Recommendation Systemry of the data. This summary is used to run specific versions of machine learning algorithms because of their geo-graphical dimension. This experiment shows how gps summaries of data can be used to extract relationships between stops of a car and touristic places.
25#
發(fā)表于 2025-3-25 20:34:36 | 只看該作者
0302-9743 e carefully reviewed and selected from 49 submissions and cover topics on mining social media data, perspectives on big data analysis, graph analysis, big data in practice.978-3-319-03688-5978-3-319-03689-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
26#
發(fā)表于 2025-3-26 02:45:51 | 只看該作者
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發(fā)表于 2025-3-26 06:33:30 | 只看該作者
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發(fā)表于 2025-3-26 11:01:44 | 只看該作者
https://doi.org/10.1007/978-3-030-01364-6OSN. Studies have shown that a small number of frequent users are responsible for the maximum percentage of tweets. We further hypothesize that users deviate from their usual tweeting hours when a major event occurs. With these as our underlying concepts, we introduce a new metric called “tweet stre
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發(fā)表于 2025-3-26 14:06:04 | 只看該作者
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發(fā)表于 2025-3-26 20:01:40 | 只看該作者
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