Research on Publisher Topic Selection Based on Data Mining
Pages 448 - 452
Abstract
As one of the important traditional industries in China, the printing and publishing industry is facing the current situation of the Internet era with the explosion of information and people's demands tend to be personalized and diversified.How to achieve accurate topic selection is the key.In this context, this paper combines the most popular big data technology with the traditional printing industry, improves the quality of the original data of the publishing house through data preprocessing technology, classifies different types of data by decision tree classifier, and finally completes the data mining.It provides a new thought and method for the topic planning of publishing industry.
References
[1]
Jiawei Han,Micheline Kamber,Jian Pei.Data Mining:Concepts and Techniques[M].Fan Ming, Meng Xiaofeng, translated.Beijing: China Machine Press,2012:214-219.
[2]
Jian Xu. Research on Collection Mode of Book Topic Information in Big Data Era [D]. Hefei: Anhui University,2015.
[3]
Li 'e Tu. Innovative Strategies of Publication Topic Planning in the "Internet +" Era [J].Writing, 2021 (2) : 134-135.
[4]
Song Rui. A Brief Analysis of Publishing House's Selection Planning of Books [J]. News Research Guide,2016(21):253.
[5]
Guo Yunqing. Five Contradictions in Topic Selection Planning that cannot be ignored [J]. Nandu Academic Forum,2003(02):115-118.
[6]
Li Lingyun. Research on the Accounting of Publishing and Printing Cost of Newspaper Group [J]. China Market,2021(06):141+166.
[7]
Min Dai, Yuan Wang.Research on the Application of Business Intelligence based on Data Mining Technology in the New Industry[J].Journal of Simulation,Volume 8, Issue 6. 2020.
[8]
Chen Jun, Qiao Hui.Research on the Application of the Data Mining Technology in Retail Business[J]:现代管理,Volume 11, Issue 02. 2021. PP 146-151.
[9]
Xiaoxiao Chen;Yueman Shi.Research on The Application of Data Mining in Education Big Data[J].International Journal of Education and Teaching Research,Volume 2, Issue 1. 2021.
[10]
Lu Zhifang.Research on the application of computer data mining technology in the era of big data[J].Journal of Physics: Conference Series,Volume 1744, Issue 4. 2021.
Recommendations
Impacts of Big Data on Data Mining Research: An Empirical Study of Chinese Journals
ICCSE'18: Proceedings of the 3rd International Conference on Crowd Science and EngineeringWith the advent of big data, data mining theories and methods face new challenges. This paper tries to find the impacts of big data on data mining research through 23377 data mining-related papers published in Chinese academic journals during 1996--2016. ...
From Big Data to Big Data Mining: Challenges, Issues, and Opportunities
Proceedings of the 18th International Conference on Database Systems for Advanced Applications - Volume 7827While "big data" has become a highlighted buzzword since last year, "big data mining", i.e., mining from big data, has almost immediately followed up as an emerging, interrelated research area. This paper provides an overview of big data mining and ...
Scalable Vertical Mining for Big Data Analytics of Frequent Itemsets
Database and Expert Systems ApplicationsAbstractAdvances in technology and the increasing growth of popularity on Internet of Things (IoT) for many applications have produced huge volume of data at a high velocity. These valuable big data can be of a wide variety or different veracity. Embedded ...
Comments
Information & Contributors
Information
Published In
July 2021
481 pages
ISBN:9781450390248
DOI:10.1145/3478905
Copyright © 2021 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 28 September 2021
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
DSIT 2021
DSIT 2021: 2021 4th International Conference on Data Science and Information Technology
July 23 - 25, 2021
Shanghai, China
Acceptance Rates
Overall Acceptance Rate 114 of 277 submissions, 41%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 26Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)1
Reflects downloads up to 07 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format