[Đánh giá] Data Mining: Concepts and Techniques  (Jiawei Han) Tóm tắt. episode artwork

EPISODE · Jul 25, 2026 · 8 MIN

[Đánh giá] Data Mining: Concepts and Techniques (Jiawei Han) Tóm tắt.

from 9Natree Vietnam · host 9Natree

Data Mining: Concepts and Techniques (Jiawei Han) - Amazon USA Store: https://www.amazon.com/dp/0128117605?tag=9natree-20 - Amazon Worldwide Store: https://global.buys.trade/Data-Mining%3A-Concepts-and-Techniques-Jiawei-Han.html - Apple Books: https://books.apple.com/us/audiobook/data-mining-the-data-mining-guide-for-beginners/id1439191620?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree - eBay: https://www.ebay.com/sch/i.html?_nkw=Data+Mining+Concepts+and+Techniques+Jiawei+Han+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1 - Shopee: https://asia.buys.trade/shopee_Data-Mining-Jiawei-Han.html - Lazada: https://asia.buys.trade/lazada_Data-Mining-Jiawei-Han.html - Tiktok: https://asia.buys.trade/tiktok_Data-Mining-Jiawei-Han.html - Đọc thêm: https://vietnam.9natree.com/read/0128117605/ #Khámphátrithứctừdữliệu #Luậtkếthợpvàmẫuthườngxuyên #Phânloạivàxâydựngmôhình #Phâncụmvàpháthiệnngoạilệ #Họcsâutrêndữliệuphứctạp #DataMining Data Mining: Concepts and Techniques là giáo trình và tài liệu tham khảo chuyên sâu về khai phá dữ liệu, thuộc dòng sách quản trị hệ thống dữ liệu của Morgan Kaufmann. Ấn bản thứ tư, gắn với Jiawei Han cùng các cộng sự Jian Pei và Hanghang Tong, trình bày khai phá dữ liệu như một phần trung tâm của quá trình khám phá tri thức từ dữ liệu, thường gọi là KDD. Mục tiêu của sách không chỉ là liệt kê thuật toán, mà là giải thích cách biến những kho dữ liệu lớn, đa dạng và chưa hoàn hảo thành mẫu hình, mô hình và tri thức có thể sử dụng. Nội dung đi từ tiền xử lý, kho dữ liệu và các kiểu dữ liệu, đến các nhiệm vụ cốt lõi như phát hiện mẫu thường xuyên, phân loại, phân cụm và nhận diện ngoại lệ. Sách cũng cập nhật các phương pháp học máy hiện đại, gồm một chương về học sâu. Điểm nhất quán xuyên suốt là đánh giá phương pháp theo tính khả thi, độ hữu ích, hiệu quả và khả năng mở rộng, thay vì chỉ quan tâm đến độ chính xác trên dữ liệu nhỏ.

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