Add to ORKGThis study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of both the second type of domain knowledge and visualization. This type of knowledge is newly defined in this study and deduced from supposition about background situations of the domain. The supposition is triggered by strong intuition about the extracted features in a recurrent process of data mining. This type of domain knowledge is useful not only for discovering interesting knowledge but also for guiding the subsequent search for more explicit and interesting knowledge. T...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Data mining and text mining refer to techniques, models, algorithms, and processes for knowledge dis...
In recent years, the exponentially growing amount of data made traditional data analysis methods imp...
This study investigates an approach of knowledge discovery and data mining in insufficient databases...
This study investigates an approach of knowledge discovery and data mining in insufficient databases...
Frequently we become amazed with the increasing number of problems to be solved that fiourish while ...
In recent years both the number and the size of organisational databases have increased rapidly. How...
Traditionally, data mining, as part of the knowledge discovery process, relies solely on the informa...
With advanced computer technologies and their omnipresent usage, data accumulates in a speed unmatch...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
In recent years both the number and the size of organisational databases have increased rapidly. How...
The field of knowledge discovery in databases (KDD) is becoming very popular and il has grown quite ...
The current trend of increasing capabilities in data generation and collection has resulted in an ur...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Abstract: The Knowledge Discovery in Databases and Data Mining field proposes the development of met...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Data mining and text mining refer to techniques, models, algorithms, and processes for knowledge dis...
In recent years, the exponentially growing amount of data made traditional data analysis methods imp...
This study investigates an approach of knowledge discovery and data mining in insufficient databases...
This study investigates an approach of knowledge discovery and data mining in insufficient databases...
Frequently we become amazed with the increasing number of problems to be solved that fiourish while ...
In recent years both the number and the size of organisational databases have increased rapidly. How...
Traditionally, data mining, as part of the knowledge discovery process, relies solely on the informa...
With advanced computer technologies and their omnipresent usage, data accumulates in a speed unmatch...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
In recent years both the number and the size of organisational databases have increased rapidly. How...
The field of knowledge discovery in databases (KDD) is becoming very popular and il has grown quite ...
The current trend of increasing capabilities in data generation and collection has resulted in an ur...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Abstract: The Knowledge Discovery in Databases and Data Mining field proposes the development of met...
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Data mining and text mining refer to techniques, models, algorithms, and processes for knowledge dis...
In recent years, the exponentially growing amount of data made traditional data analysis methods imp...