Data Pre-Processing for Real-World E-Commerce Delivery Address Clustering
Available Online December 2017.
- https://doi.org/10.2991/anit-17.2018.28How to use a DOI?
- E-Commerce, Data Pre-processing, Clustering, Logical Hierarchical Scraping
- Rapid growth of economy and popularization of electronic commerce have facilitated the development of logistics industry. Aiming to increase e-commerce logistics efficiency, extracting meaningful information from the complex raw data is essential. In real-world business operation, the order data should be pre-processed for the convenience of customer analysis and delivery route planning. This paper focuses on a real-world e-commerce company case, and provides an approach for pre-processing of raw address data with messy text structures.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yuan Zhang PY - 2017/12 DA - 2017/12 TI - Data Pre-Processing for Real-World E-Commerce Delivery Address Clustering BT - 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017) PB - Atlantis Press SP - 164 EP - 168 SN - 1951-6851 UR - https://doi.org/10.2991/anit-17.2018.28 DO - https://doi.org/10.2991/anit-17.2018.28 ID - Zhang2017/12 ER -