Combining Data Mining to Analyze the Book Design Research
- DOI
- 10.2991/978-94-6463-046-6_70How to use a DOI?
- Keywords
- Book Design; Cluster; Co-Occurrence Analysis; Data Mining; COOC 10.07
- Abstract
Book design is not only the main branch of plane design, but also an important research object in the field of publishing. In order to further understand the current research status of book design in China and summarize the research hotspots and directions, based on the bibliometric analysis software COOC 10.07, this paper uses data mining technology to statistically analyze the CSSCI literature of book design research in recent 15 years. The result shows that the research on book design has phased characteristics, including three stages: start, rise, and fall. Literature sources are mostly related to the field of art. The study hotspots of book design include “cover design”, “innovation” and “design”, etc. Designers should focus on readers’ reading experience, deeply analyze the reading behavior and needs of various readers, strengthen cross-border integration research, and provide book design works with humanistic care and contemporary aesthetic characteristics for various readers.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jingting He AU - Ziqi He AU - Yunxiang Pang PY - 2022 DA - 2022/12/17 TI - Combining Data Mining to Analyze the Book Design Research BT - Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022) PB - Atlantis Press SP - 597 EP - 604 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-046-6_70 DO - 10.2991/978-94-6463-046-6_70 ID - He2022 ER -