@inproceedings{9f49a6a1f7824f16916627c5a5170626,
title = "Automatic Document Data Storage System Based on Machine Learning",
abstract = "Document storage management plays a significant role in the field of database. With the advent of big data, making storage management manually becomes more and more difficult and inefficient. There are many researchers to develop algorithms for automatic storage management(ASM). However, at present, no automatic systems or algorithms related to document data has been developed. In order to realize the ASM of document data, we firstly propose an automatic document data storage system (ADSML) based on machine learning, a user-friendly management system with high efficiency for achieving storage selection and index recommendation automatically. In this paper, we present the architecture and key techniques of ADSML, and describe three demo scenarios of our system.",
keywords = "Automatic management, Index recommendation, Machine learning, Storage selection",
author = "Yu Yan and Hongzhi Wang and Jian Zou and Yixuan Wang",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 4th Asia-Pacific Web and Web-Age Information Management, Joint Conference on Web and Big Data, APWeb-WAIM 2020 ; Conference date: 18-09-2020 Through 20-09-2020",
year = "2020",
doi = "10.1007/978-3-030-60290-1\_45",
language = "英语",
isbn = "9783030602895",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "551--555",
editor = "Xin Wang and Rui Zhang and Young-Koo Lee and Le Sun and Yang-Sae Moon",
booktitle = "Web and Big Data - 4th International Joint Conference, APWeb-WAIM 2020, Proceedings",
address = "德国",
}