The Application of Information Mining Technology to the Army Injury and Health Outcomes Database

2001 ◽  
Author(s):  
Paul J. Amoroso
Keyword(s):  
Health Outcomes ◽  
Mining Technology ◽  
Information Mining

Study on Information Mining Technology with Empirical Research on China's Securities Market Transactions’ Random Walk

2013 ◽  
Vol 859 ◽  
pp. 399-404
Author(s):  
Tong Tong Sun ◽  
Wei Li Xia
Keyword(s):  
Random Walk ◽  
Empirical Research ◽  
Institutional Investors ◽  
Securities Market ◽  
Mining Technology ◽  
Information Mining ◽  
Random Walk Hypothesis ◽  
Rescaled Range ◽  
Fractal Market Hypothesis

this paper is in the context of China's securities market vigorously developing institutional investors, uses "Fractal Market Hypothesis" and rescaled range methods to deal with the data. By doing the information mining on those sample, the results show that China's securities market yield does not follow a random walk hypothesis and institutional investors yield does not follow a random walk hypothesis. This shows that after more than 10 years of vigorous development of institutional investors, the goal that stabilize the market and make the market more effectively has not been realized and continuing to increase the intensity of the development of the institutional investors is still needed

scholarly journals Advancement and Improvement of CRM with the Use of Statistics Mining Strategies

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1925-1928
Keyword(s):  
High Income ◽  
Mining Technology ◽  
Information Mining ◽  
Software Program

Abstract consumer relationship control (CRM) is a system that mainly deals with the communication among a enterprise and its customers. CRM thru facts mining can get more efficiency in obtaining new customers, increasing fee of present clients and preserving excellent clients. The number one users of CRM software program programs are database entrepreneurs who are seeking to automate the system of interacting with clients. To achieve success, database marketers ought to first become aware of marketplace segments containing clients or prospects really worth high-income ability. Statistics mining technology are relevant in lots of methods models and strategies which are used to go looking variety of patterns and relationships of different forms of facts. Statistics mining applications system of looking within the automation gear which reaches to the mountains of facts to look patterns that are good predictors of buying behaviors.After information mining, marketers need to display the outcomes into which coping with the enterprise market described in immediately way

scholarly journals Data mining in personalized service of digital library

2018 ◽  
Vol 7 (1.7) ◽  
pp. 51
Author(s):  
Nivedhitha G ◽  
Rupavathy N
Keyword(s):  
Data Mining ◽  
Digital Library ◽  
Digital Libraries ◽  
Information Resources ◽  
Personalized Service ◽  
Mining Technology ◽  
Information Mining ◽  
Personalized Services ◽  
Information Engineering ◽  
Parliamentary Procedure

With the deepening of information engineering, people face increasing amounts of information resources and also the demand of information is more and more. The digital library is a wealth of information resources. Affording readers a richer layer of personalized service is a new objective for the growth of these digital libraries. The data mining techniques to elicit useful information from a bunch of clutter information, in parliamentary procedure to provide efficient technical support for personalized services of digital libraries. The feasibility of information mining technology in digital libraries is analyzed in this paper. It also discusses the information mining technology in the digital library applications and the feasibility analysis for the data mining applications in digital libraries.

Sign in / Sign up

Export Citation Format

Share Document