An Exploration of the Computer Big Data Mining Service Model Under Resource Sharing

An Exploration of the Computer Big Data Mining Service Model Under Resource Sharing

WeiWei Hu, Lina Sun, Lijie Li
Copyright: © 2024 |Pages: 17
DOI: 10.4018/IRMJ.340032
Article PDF Download
Open access articles are freely available for download

Abstract

In order to meet the diverse needs of users for data mining services and improve resource utilization and enterprise competitiveness, this article aims to construct a Big Data Analytics (BDA) data mining service model based on resource sharing mechanisms. This article designs a customized data mining service model for BDA based on its characteristics. In this model, the authors apply the improved Apriori algorithm to determine the optimization plan and improve the ant colony optimization algorithm to improve the efficiency and accuracy of data mining. By analyzing the experimental results, the scientificity and rationality of the proposed data mining service model for BDA were demonstrated, and the implementation strategy of the data mining model was improved. These research findings provide important references for BDA's data mining service model based on response surface modeling and also provide guidance for enterprises on how to better utilize resources and improve competitiveness when facing big data.
Article Preview
Top

Literature Review

Data technology has given data high application and research values in the internet era. Thus, the big data research industry came into being. Traditionally, data mastered by different departments often showed an island effect; it revealed great correlation but lacked full utilization (Saura et al., 2021). With the active promotion of national policies, big data service platforms continue to emerge. They lay a strong foundation for obtaining the required resources in the data ocean and excavating the insidious value behind the data. In the big data ecosystem (BDE), data resources are gaining much larger weight in everyday life and industrial productions. The BDE's knowledge and valuable information inject momentum into the world economy, market activities, and enterprise development. Thus, comprehensively using information resources has become a research hotspot (Gastermann et al., 2015).

Complete Article List

Search this Journal:
Reset
Volume 37: 1 Issue (2024)
Volume 36: 1 Issue (2023)
Volume 35: 4 Issues (2022): 3 Released, 1 Forthcoming
Volume 34: 4 Issues (2021)
Volume 33: 4 Issues (2020)
Volume 32: 4 Issues (2019)
Volume 31: 4 Issues (2018)
Volume 30: 4 Issues (2017)
Volume 29: 4 Issues (2016)
Volume 28: 4 Issues (2015)
Volume 27: 4 Issues (2014)
Volume 26: 4 Issues (2013)
Volume 25: 4 Issues (2012)
Volume 24: 4 Issues (2011)
Volume 23: 4 Issues (2010)
Volume 22: 4 Issues (2009)
Volume 21: 4 Issues (2008)
Volume 20: 4 Issues (2007)
Volume 19: 4 Issues (2006)
Volume 18: 4 Issues (2005)
Volume 17: 4 Issues (2004)
Volume 16: 4 Issues (2003)
Volume 15: 4 Issues (2002)
Volume 14: 4 Issues (2001)
Volume 13: 4 Issues (2000)
Volume 12: 4 Issues (1999)
Volume 11: 4 Issues (1998)
Volume 10: 4 Issues (1997)
Volume 9: 4 Issues (1996)
Volume 8: 4 Issues (1995)
Volume 7: 4 Issues (1994)
Volume 6: 4 Issues (1993)
Volume 5: 4 Issues (1992)
Volume 4: 4 Issues (1991)
Volume 3: 4 Issues (1990)
Volume 2: 4 Issues (1989)
Volume 1: 1 Issue (1988)
View Complete Journal Contents Listing