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Titlebook: Big Data Analytics; First International Srinath Srinivasa,Vasudha Bhatnagar Conference proceedings 2012 Springer-Verlag Berlin Heidelberg

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樓主: metamorphose
21#
發(fā)表于 2025-3-25 06:28:11 | 只看該作者
22#
發(fā)表于 2025-3-25 08:50:23 | 只看該作者
Analog Textual Entailment and Spectral Clustering (ATESC) Based Summarization and assignment of relative importance to the produced segments based on the scores of constituent sentences. At the end, a comparative study of results of LTT and ATESC is carried out. It shows that ATESC produces better quality of summaries in most of the cases tested experimentally.
23#
發(fā)表于 2025-3-25 12:32:43 | 只看該作者
24#
發(fā)表于 2025-3-25 16:00:17 | 只看該作者
0302-9743 cs. The regular contributions are organized in topical sections on: data analytics applications; knowledge discovery through information extraction; and data models in analytics.978-3-642-35541-7978-3-642-35542-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
25#
發(fā)表于 2025-3-25 21:16:06 | 只看該作者
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發(fā)表于 2025-3-26 00:14:08 | 只看該作者
0302-9743 ternational Conference on Big Data Analytics, BDA 2012, held in New Delhi, India, in December 2012. The 5 regular papers and 5 short papers presented were carefully reviewed and selected from 42 submissions. The volume also contains two tutorial papers in the section perspectives on big data analyti
27#
發(fā)表于 2025-3-26 08:10:20 | 只看該作者
Intraoperative Flow Cytometry in Gliomasferential relationship between tables and the similarity of passages describing the corresponding tables in the database documentation. Using the notion of table similarity, we propose a clustering based approach for schema summary generation. Experimental results on a benchmark database show the effectiveness of the proposed approach.
28#
發(fā)表于 2025-3-26 10:33:02 | 只看該作者
29#
發(fā)表于 2025-3-26 14:06:34 | 只看該作者
Volker Seifert,Thomas Gasser,Christian Senft93.6% and the precision of 77.4%, which are recognized as a good performance for smart TV. We also investigate integration of recommendation methods for more personalized and efficient recommendation. Category match ratios for different integrations are compared as a measure for personalized recommendation.
30#
發(fā)表于 2025-3-26 20:10:41 | 只看該作者
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