ParSoDA: high-level parallel programming for social data mining
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s13278-018-0547-5.pdf
Reference22 articles.
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2. Belcastro L, Marozzo F, Talia D, Trunfio P (2017a) Appraising spark on large-scale social media analysis. In: Euro-Par workshops. Lecture notes in computer science. Santiago de Compostela, Spain, pp 483–495. ISBN:978-3-319-75178-8
3. Belcastro L, Marozzo F, Talia D, Trunfio P (2017b) Big data analysis on clouds. In: Sakr S, Zomaya A (eds) Handbook of big data technologies. Springer, Berlin, pp 101–142. ISBN:978-3-319-49339-8
4. Belcastro L, Marozzo F, Talia D, Trunfio P (2017c) A parallel library for social media analytics. In: The 2017 international conference on high performance computing & simulation (HPCS 2017), Genoa, Italy
5. Casalino G, Castiello C, Del Buono N, Mencar C (2018) A framework for intelligent twitter data analysis with nonnegative matrix factorization. Int J Web Inf Syst 14(3):334–356
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