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CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 9 months ago
Mining Multi-Level Frequent Itemsets under Constraints
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...
Mohamed Salah Gouider, Amine Farhat
ESWA
2008
231views more  ESWA 2008»
14 years 15 days ago
Automatic generation of concept hierarchies using WordNet
This paper examines and proposes the automatic generation of concept hierarchies using WordNet. Existing researches have mostly explored the utilization of concept hierarchies, bu...
Sangno Lee, Soon-Young Huh, Ronald D. McNiel
IJCAI
1989
14 years 1 months ago
Concept Formation by Incremental Conceptual Clustering
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 ...
Mirsad Hadzikadic, David Y. Y. Yun
RIAO
2004
14 years 1 months ago
Learning "Generalization/Specialization" Relations between Concepts - Application for Automatically Building Thematic Document H
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...
Hermine Njike Fotzo, Patrick Gallinari
IJCAI
2001
14 years 1 months ago
Rule Induction for Concept Hierarchy Alignment
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...
Ryutaro Ichise, Hideaki Takeda, Shinichi Honiden
KDD
1995
ACM
167views Data Mining» more  KDD 1995»
14 years 4 months ago
Efficient Algorithms for Attribute-Oriented Induction
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...
Hoi-Yee Hwang, Ada Wai-Chee Fu
KDD
1994
ACM
104views Data Mining» more  KDD 1994»
14 years 4 months ago
Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases
Concepthierarchies organizedata andconceptsin hierarchical ]ormsor in certain partial order, which helps expressingknowledgeanddata relationships in databasesin concise, highlevel...
Jiawei Han, Yongjian Fu
ADBIS
2000
Springer
169views Database» more  ADBIS 2000»
14 years 4 months ago
Data Organization Issues for Location-Dependent Queries in Mobile Computing
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...
JCDL
2010
ACM
199views Education» more  JCDL 2010»
14 years 5 months ago
Crowdsourcing the assembly of concept hierarchies
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...
EKAW
2004
Springer
14 years 5 months ago
A Hybrid Algorithm for Alignment of Concept Hierarchies
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...
Ryutaro Ichise, Masahiro Hamasaki, Hideaki Takeda