Một đề xuất cải tiến thuật toán Join đệ qui trên tập dữ liệu lớn : Luận văn Thạc sĩ Công nghệ thông tin. Chuyên ngành Khoa học máy tính

Nghiên cứu tiến hành thực hiện cải tiến giải thuật Semi-Naive cho Join đệ qui trên tập dữ liệu lớn bằng cách sử dụng giải thuật Join ba chiều và bộ lọc trong môi trường MapReduce của Spark. Sự cải tiến này nhằm làm giảm số lần lặp, số...

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Bibliographic Details
Main Author:	Triệu, Thanh Ngoan
Format:	Book
Language:	Undetermined
Published:	Cần Thơ Trường Đại học Cần Thơ 2019
Subjects:	Algorithms,Giải thuật
Tags:	Add Tag No Tags, Be the first to tag this record!

Institutions:	Trung tâm Học liệu Trường Đại học Cần Thơ

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Summary:	Nghiên cứu tiến hành thực hiện cải tiến giải thuật Semi-Naive cho Join đệ qui trên tập dữ liệu lớn bằng cách sử dụng giải thuật Join ba chiều và bộ lọc trong môi trường MapReduce của Spark. Sự cải tiến này nhằm làm giảm số lần lặp, số công việc MapReduce cần thiết, và giảm dữ liệu dư thừa.

Một đề xuất cải tiến thuật toán Join đệ qui trên tập dữ liệu lớn : Luận văn Thạc sĩ Công nghệ thông tin. Chuyên ngành Khoa học máy tính

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