Visualization of Frequent Itemsets with Nested Circular Layout and Bundling Algorithm - ENAC - École nationale de l'aviation civile Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Visualization of Frequent Itemsets with Nested Circular Layout and Bundling Algorithm

Résumé

Frequent itemset mining is one of the major data mining issues. Once generated by algorithms, the itemsets can be automatically processed, for instance to extract association rules. They can also be explored with visual tools, in order to analyze the emerging patterns. Graphical itemsets representation is a convenient way to obtain an overview of the global interaction structure. However, when the complexity of the database increases, the network may become unreadable. In this paper, we propose to display itemsets on concentric circles, each one being organized to lower the intricacy of the graph through an optimization process. Thanks to a graph bundling algorithm, we finally obtain a compact representation of a large set of itemsets that is easier to exploit. Colors accumulation and interaction operators facilitate the exploration of the new bundle graph and to illustrate how much an itemset is supported by the data.
Fichier principal
Vignette du fichier
Bothorel_12929.pdf (2.21 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01141434 , version 1 (13-04-2015)

Identifiants

Citer

Gwenael Bothorel, Mathieu Serrurier, Christophe Hurter. Visualization of Frequent Itemsets with Nested Circular Layout and Bundling Algorithm. International Symposium on Visual Computing - ISVC 2013, Jul 2013, Rethymnon, Greece. pp.396-405, ⟨10.1007/978-3-642-41939-3_38⟩. ⟨hal-01141434⟩
318 Consultations
478 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More