01183nam a2200205Ia 4500 CTU_225565 210402s9999 xx 000 0 und d 005.73 D513 Lê, Thị Phương Dung Phân lớp dữ liệu lớn với SVM sử dụng giải thuật mini-batch gradient descent : Luận văn tốt nghiệp Cao học. Chuyên ngành Khoa học máy tính Lê Thị Phương Dung ; Đỗ Thanh Nghị (Cán bộ hướng dẫn) Cần Thơ Trường Đại học Cần Thơ 2018 Nghiên cứu tập trung giải quyết bài toán phân lớp tập dữ liệu lớn bằng cách cải tiến khả năng xử lý dữ liệu lớn của giải thuật máy học vector hỗ trợ sử dụng kỹ thuật hướng giảm gradient theo từng khối. Data structures (Computer science),Cấu trúc dữ liệu (Khoa học máy tính) nthai Trung tâm Học liệu Trường Đại học Cần Thơ