Design and implementation of online bookstore based on ASP. net and data mining technology

2010 ◽  
Author(s):  
Xue Linyan ◽  
Song Lijie
Keyword(s):  
Data Mining ◽  
Mining Technology ◽  
Design And Implementation

Design and Research on Data Warehouse of Insurance Industry

2014 ◽  
Vol 496-500 ◽  
pp. 2108-2111
Author(s):  
Jian Hu Zhang ◽  
Lei Lei ◽  
Xin You Cui ◽  
Yong Wu ◽  
Lin Tao Li
Keyword(s):  
Data Mining ◽  
Data Warehouse ◽  
Domain Knowledge ◽  
Insurance Industry ◽  
Basic Flow ◽  
Logical Model ◽  
Mining Technology ◽  
Concept Model ◽  
Design And Implementation

Through in-depth understanding of the domain knowledge of insurance and the study of the technology of data warehouse, the paper illustrate the application of data mining technology and data warehouse technology in the insurance clients analysis, and from the basic flow of, discusse the application of data warehouse technology in the field of insurance industry. Then, from the concept of data warehouse, describe the design and implementation of data warehouse concept model and logical model.

Design and Implementation of the Web Service-Based Archives Management System of Universities

2013 ◽  
Vol 760-762 ◽  
pp. 950-953
Author(s):  
Shu Min Cui
Keyword(s):  
Data Mining ◽  
Web Service ◽  
Detailed Analysis ◽  
Business Model ◽  
Management System ◽  
Database Design ◽  
Model Design ◽  
Mining Technology ◽  
Design And Implementation ◽  
The Web

In this paper, the author introduces the functional structure of the web service-based archives management system in detail, including its functional chart and main functions, database design and business model design, and meanwhile makes a detailed analysis and argumentation about the application of data mining technology in the archival service.

Design and Implementation of Office Management System in Small and Medium Sized Enterprises Based on Data Mining Technology

2014 ◽  
Vol 686 ◽  
pp. 300-305
Author(s):  
Qiang Fei Yin ◽  
Qiu Li
Keyword(s):  
Data Mining ◽  
Theoretical Foundation ◽  
Competitive Intelligence ◽  
Intelligence Analysis ◽  
Mining Technology ◽  
Fcm Algorithm ◽  
Intelligence System ◽  
Design And Implementation ◽  
Office Management ◽  
Competitive Intelligence System

This paper introduces data mining technology in enterprise competitive intelligence system; and then introduced theoretical foundation and main clustering method of cluster analysis. The article emphasis on the FCM algorithm and principle and described implementation steps, and proposed the improvement FCM algorithm based on K mean particle size; finally, realize the design and implementation of enterprise competitive intelligence analysis and mining service system, and the improved FCM algorithm is applied in the system.

Advanced Statistical Tools for Improving Yield and Reliability

1999 ◽  
Author(s):  
Richard C. Kittler
Keyword(s):  
Data Mining ◽  
Analysis Data ◽  
Neural Nets ◽  
Future Trends ◽  
Statistical Tools ◽  
Mining Technology ◽  
Explanatory Variables ◽  
Data Coverage ◽  
Statistical Approaches ◽  
Adequate Data

Abstract Analysis of manufacturing data as a tool for failure analysts often meets with roadblocks due to the complex non-linear behaviors of the relationships between failure rates and explanatory variables drawn from process history. The current work describes how the use of a comprehensive engineering database and data mining technology over-comes some of these difficulties and enables new classes of problems to be solved. The characteristics of the database design necessary for adequate data coverage and unit traceability are discussed. Data mining technology is explained and contrasted with traditional statistical approaches as well as those of expert systems, neural nets, and signature analysis. Data mining is applied to a number of common problem scenarios. Finally, future trends in data mining technology relevant to failure analysis are discussed.

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