The rapid respond to marketplace in apparel logistics is objective requirement of market competition to modern clothing enterprises. Apparel logistics emphasize the precision and timeliness of data information strongly, therefore, data mining technology should be used to analyze the data information, and thus support the smooth functioning of the entire apparel logistics. Data mining technology...

Abstract In order to realize online detection and control of network viruses in robots, the authors propose a data mining-based anti-virus solution for smart robots. First, using internet things (IoT) intrusion prevention system design method based on signal feedforward modulation filtering design, overall description function analysis are carried out, then algorithm is designed, finally, hardw...

Data mining (DM) technology provides a potential solution to structural health monitoring (SHM) as a deeper data analysis method. In this paper, a comprehensive introduction to the background, definition, function, process, methods and advantage of DM technology is made. The research and application state of DM technology in various fields is reviewed. Responding to the need of SHM and the char...

INTRODUCTION The amount of data being generated and stored is growing exponentially, due in large part to the continuing advances in computer technology. This presents tremendous opportunities for those who can unlock the information embedded within this data, but also introduces new challenges. In this chapter we discuss how the modern field of data mining can be used to extract useful knowled...

Web usage mining is an application of data mining technology to mine the data of the web server log file. It can discover the browsing patterns of user and some kind of correlations between the web pages. Web usage mining provides the support for the web site design, providing personalization server and other business making decision, etc. Web mining applies the data mining, the artificial inte...

Energy consumption data, in particular those involving public buildings, are impacted by many factors: the building structure, climate/environmental parameters, construction, system operating condition, and user behavior patterns. Traditional methods for data analysis are insufficient. This paper delves into the data mining technology to determine its application in the analysis of building ene...

Data mining technology help us in extraction of useful knowledge from large data sets. The process of data collection and data dissemination may, however, result in an inherent risk of privacy threats. Some private information about individuals, businesses and organizations has to be suppressed before it is shared or published. The privacypreserving data mining (PPDM) has thus become an importa...

Wide ranges of companies have deployed successful applications of data mining. While early adopters of this technology have tended to be in information-intensive industries such as financial services and direct mail marketing the technology is applicable to any company looking to leverage a large data warehouse to better manage their customer relationships. Two critical factors for success with...