Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
This paper examines and proposes the automatic generation of concept hierarchies using WordNet. Existing researches have mostly explored the utilization of concept hierarchies, bu...
Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the ...
We introduce a new method for automatically constructing concept hierarchies where the concept nodes follow a generalization / specialization relation. Starting from a set of conc...
To manage information like ontology, we usually use categorization with concept hierarchy. Such concept hierarchies are managed individual for each system due to the many differen...
Data mining or knowledge discovery in databasesis the search for relationships and global patterns that exist but are hidden in large databases.Many different methodshave been pro...
Concepthierarchies organizedata andconceptsin hierarchical ]ormsor in certain partial order, which helps expressingknowledgeanddata relationships in databasesin concise, highlevel...
We consider queries which originate from a mobile unit and whose result depends on the location of the user who initiates the query. Example of such a query is How many people are ...
Sanjay Kumar Madria, Bharat K. Bhargava, Evaggelia...
The“wisdom of crowds”is accomplishing tasks that are cumbersome for individuals yet cannot be fully automated by means of specialized computer algorithms. One such task is the...
Kai Eckert, Mathias Niepert, Christof Niemann, Cam...
Hierarchical categorization is a powerful and convenient method so that it is commonly used in various areas, such as ontologies. Although each hierarchy is useful, there are probl...