scholarly journals HPVdb: a data mining system for knowledge discovery in human papillomavirus with applications in T cell immunology and vaccinology

Database ◽  
2014 ◽  
Vol 2014 (0) ◽  
pp. bau031-bau031 ◽  
Author(s):  
G. L. Zhang ◽  
A. B. Riemer ◽  
D. B. Keskin ◽  
L. Chitkushev ◽  
E. L. Reinherz ◽  
...  
Keyword(s):  
Data Mining ◽  
Human Papillomavirus ◽  
T Cell ◽  
Knowledge Discovery ◽  
Mining System ◽  
Data Mining System ◽  
T Cell Immunology

Knowledge Discovery Process and Introduction of Domain Knowledge

2004 ◽  
pp. 86-98 ◽  
Author(s):  
Katsutoshi Yada
Keyword(s):  
Data Mining ◽  
Knowledge Discovery ◽  
Domain Knowledge ◽  
Two Dimensional ◽  
Discovery Process ◽  
Mining System ◽  
Business World ◽  
Sales Data ◽  
Data Mining System ◽  
The Creation

This chapter describes the framework of knowledge discovery process in sales data and how the data mining system is applied to the data in the real business world by using the domain knowledge. First the framework of the knowledge discovery process in databases is reviewed. It is not clear how users construct the actual data mining process and use the domain knowledge in the existing models. We propose a two-dimensional matrix of knowledge for analysis of sales data to understand the knowledge discovery process from purchase history. Then we distinguish the data mining process from the creation of business action. We point out that efficient knowledge discovery can be achieved by intensively introducing domain knowledge of experts to the creation of business action.

An intelligent data mining system for drop test analysis of electronic products

2001 ◽  
Vol 24 (3) ◽  
pp. 222-231 ◽  
Author(s):  
Chi Zhou ◽  
P.C. Nelson ◽  
Weimin Xiao ◽  
T.M. Tirpak ◽  
S.A. Lane
Keyword(s):  
Data Mining ◽  
Drop Test ◽  
Mining System ◽  
Test Analysis ◽  
Electronic Products ◽  
Data Mining System

A framework for a World Wide Web-based Data Mining system

1998 ◽  
Vol 21 (3) ◽  
pp. 163-185 ◽  
Author(s):  
Johnny S.K. Wong ◽  
Rishi Nayar ◽  
Armin R. Mikler
Keyword(s):  
Data Mining ◽  
World Wide Web ◽  
World Wide ◽  
Mining System ◽  
Web Based ◽  
Data Mining System

General system theoretic approach to data mining system

2002 ◽  
Vol 31 (3) ◽  
pp. 245-264 ◽  
Author(s):  
Yasuhiko Takahara ◽  
Naoki Shiba ◽  
Yongmei Liu
Keyword(s):  
Data Mining ◽  
General System ◽  
Theoretic Approach ◽  
Mining System ◽  
Data Mining System
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