Titlebook: Data Mining and Big Data; First International Ying Tan,Yuhui Shi Conference proceedings 2016 Springer International Publishing Switzerland

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Oracle and Vertica for Frequent Itemset Mining Management Systems (DBMS) – a traditional row-oriented DMBS in the face of Oracle and a column-oriented DBMS represented by Vertica. The results indicate the suitability of these DBMSs as tools for association rules generation.

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Conference proceedings 2016rs are organized in?10 cohesive sections covering all major topics of the research and development?of data mining and big data and one Workshop on Computational Aspects of?Pattern Recognition and Computer Vision..

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0302-9743 relevant?or pertinent information.The papers are organized in?10 cohesive sections covering all major topics of the research and development?of data mining and big data and one Workshop on Computational Aspects of?Pattern Recognition and Computer Vision..978-3-319-40972-6978-3-319-40973-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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