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» OntoDM: An Ontology of Data Mining
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AVI
2004
13 years 8 months ago
SWAPit: a multiple views paradigm for exploring associations of texts and structured data
Visualization interfaces that offer multiple coordinated views on a particular set of data items are useful for navigating and exploring complex information spaces. In this paper ...
Andreas Becks, Christian Seeling
SDM
2007
SIAM
112views Data Mining» more  SDM 2007»
13 years 8 months ago
PoClustering: Lossless Clustering of Dissimilarity Data
Given a set of objects V with a dissimilarity measure between pairs of objects in V , a PoCluster is a collection of sets P ⊂ powerset(V ) partially ordered by the ⊂ relation ...
Jinze Liu, Qi Zhang, Wei Wang 0010, Leonard McMill...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 7 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
SEMWEB
2007
Springer
14 years 1 months ago
OntoDNA: Ontology Alignment Results for OAEI 2007
OntoDNA is an automated ontology mapping and merging system that utilizes unsupervised data mining methods, comprising of Formal Concept analysis (FCA), Self-Organizing map (SOM) a...
Ching-Chieh Kiu, Chien-Sing Lee
ADMI
2009
Springer
14 years 2 months ago
Agent-Enriched Data Mining Using an Extendable Framework
An extendable and generic Agent Enriched Data Mining (AEDM) framework, EMADS (the Extendable Multi-Agent Data mining System) is described. The central feature of the framework is ...
Kamal Ali Albashiri, Frans Coenen