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Papers · arxivst • stuff from arxiv that you should ...

2017-4-25 · Apr 21 SREFI: Synthesis of Realistic Example Face Images. Apr 21 Improving Semantic Composition with Offset Inference. Apr 21 Scatteract: Automated extraction of data from scatter plots. Apr 21 A hybrid exact-ACO algorithm for the joint scheduling, power and cluster assignment in cooperative wireless networks.

Frequent graph mining and its application to molecular ...

Frequent Subgraph Mining has been an active research topic in data mining because of its wide-range application areas, such as video indexing, XML document clustering, and Bioinformatics.

Predictive Graph Mining | Request PDF

2004-10-2 · Afin de surmonter cet obstacle, est ensuite introduite une méthode de recherche heuristique fondée sur une contrainte d''intervalle entre graphes et adaptée à l''extraction de motifs de très ...

(PDF) Efficient and Scalable Algorithms for Network Motifs ...

To develop efficient and scalable algorithms for motifs discovery is precisely the main aim of this thesis. We provide a thorough survey of existing methods, complete with an associated chronology, taxonomy, algorithmic description and empirical evaluation and compari- son. We propose a novel data-structure, g-tries, designed to represent a ...

(PDF) Towards for Using Spectral Clustering in Graph Mining

Pennerath, F.: M é thodes d '' extraction de connaissances à partir de donn é es mod é lisables par des graphes, application à des probl è mes de synth è se organique. Thesis.

Using and Learning Semantics in Frequent Subgraph Mining

Mohammad Hasan. Frequent subgraph mining (FSM) is an important task for exploratory data analysis on graph data. Over the years, many algorithms have been proposed to solve this task. These ...

Frequent graph mining and its application to molecular ...

All Known graph based data mining algorithms rely on one of the two well-known frequent item-set mining algorithms, Apriori [1] or Eclat [10]. Some of these algorithms are MoFa [2], FSG [4], gSpan ...

(PDF) Mining Molecular Fragments: Finding Relevant ...

De nombreux travaux ont aussi viséà extraire des motifs sur des graphes, que ce soit un ensemble de graphes (Borgelt and Berthold, 2002), un seul graphe attribué (Bendimerad et al., 2016 ...

Aggregated search in Distributed Graph Databases

2021-9-16 · Le sujet de cette th`ese s''inscrit dans le cadre g´en´eral de la Recherche d''Information et la gestion des donn´ees massivement distribu´ees. Notre probl´ematique concerne l''´evaluation et l''optimisation de requˆetes agr´egatives (Aggregated Search). La Recherche d''Information Agr´egative

ORIGAMI: A Novel and Effective Approach for Mining ...

AGM (Inokuchi et al., 2000) et F SG (Kuramochi, Karypis, 2001) sont deux algorithmes d''extraction de sous-structures fréquentes qui utilisent l''approche Apriori.

Using and Learning Semantics in Frequent Subgraph Mining

The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, however, should also ...

Aggregated search in Distributed Graph Databases

2021-7-18 · Le sujet de cette th`ese s''inscrit dans le cadre g´en´eral de la Recherche d''Information et la gestion des donn´ees massivement distribu´ees. Notre probl´ematique concerne l''´evaluation et l''optimisation de requˆetes agr´egatives (Aggregated Search). La Recherche d''Information Agr´egative

(PDF) Nouvelle approche de fouille de graphes AC-réduits ...

PDF | On Jan 1, 2011, Brahim Douar and others published Nouvelle approche de fouille de graphes AC-réduits fréquents | Find, read and cite all the research you need on ResearchGate