scholarly journals Exploration of TCM Masters Knowledge Mining

2007 ◽  
pp. 35-42 ◽  
Author(s):  
Xijin Tang ◽  
Nan Zhang ◽  
Zheng Wang
Keyword(s):  
Knowledge Mining

scholarly journals Knowledge Mining in Spreading Pattern of COVID-19 and Its Impact on India Economy

2021 ◽  
Vol 1797 (1) ◽  
pp. 012013
Author(s):  
Rohit Shaw ◽  
Madhusmita Mishra ◽  
Amrut Ranjan Jena
Keyword(s):  
Knowledge Mining ◽  
Spreading Pattern

Data and knowledge mining with big data towards smart production

2018 ◽  
Vol 9 ◽  
pp. 1-13 ◽  
Author(s):  
Ying Cheng ◽  
Ken Chen ◽  
Hemeng Sun ◽  
Yongping Zhang ◽  
Fei Tao
Keyword(s):  
Big Data ◽  
Knowledge Mining

scholarly journals Ontology Knowledge Mining for Ontology Alignment

2016 ◽  
Vol 9 (5) ◽  
pp. 876-887 ◽  
Author(s):  
Rihab Idoudi ◽  
Karim Saheb Ettabaa ◽  
Basel Solaiman ◽  
Kamel Hamrouni
Keyword(s):  
Ontology Alignment ◽  
Knowledge Mining

WORKING KNOWLEDGE MINING BY PRINCIPLES FOR DEEP KNOWLEDGE

2006 ◽  
Vol 05 (04) ◽  
pp. 729-738 ◽  
Author(s):  
P. L. YU
Keyword(s):  
Decision Making ◽  
Decision Problems ◽  
Wrong Decision ◽  
Knowledge Mining ◽  
Deep Knowledge ◽  
Over Time

We usually use a set of ideas, thinking paradigms and judgment rules, including alternatives, criteria, outcomes, preferences, to make decision. This set, known as actual domain (working knowledge) of habitual domain, will be stabilized over time unless extraordinary events occur. As such, our working knowledge cannot be broad and deep. Inevitably, we could get into decision traps, which lead us to making wrong decision or solving wrong problems. The actual domain is only a small part of our potential domain, the collection of all thoughts, ideas, thinking paradigms, etc. that have ever been encoded in our brain. In this paper, we will describe nine principles for deep knowledge, so that, we could expand and enrich our working knowledge by utilizing the potential domains of ourselves and other participants in the decision making. As a consequence, good ideas for solving challenging decision problems can be obtained or created. These principles are: The deep and down principle, the alternating principle, the contrasting and complementing principle, the revolving and cycling principle, the inner connection principle, the changing and transforming principle, the contradiction principle, the cracking and ripping principle, the void principle.

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