A graph mining-based methodology for discovering and visualizing high-level knowledge for building energy management

C Fan, F Xiao, M Song, J Wang - Applied energy, 2019 - Elsevier
Building operations have evolved to be not only energy-intensive, but also information-
intensive. Advanced data-driven methodologies are urgently needed to facilitate the tasks in …

SCoRMiner: Automated discovery of network service and application dependencies using a graph mining approach

S Slimani, T Hamrouni, FB Charrada - Procedia Computer Science, 2020 - Elsevier
Nowadays with the widespread of cloud computing, a large number of complex networked
applications are being deployed in data center networks. The performance and reliability of …

Graph pattern mining on top of a domain ontology-preliminary results from a dairy production application

T Martin, V Fuentes, P Valtchev, AB Diallo… - Procedia Computer …, 2021 - Elsevier
A domain ontology (DO) is a machine-readable knowledge repository which, whenever
properly exploited, can help to discover meaningful and intelligible patterns from compatible …

New approaches for processing and annotations of high-throughput metabolomic data obtained by mass spectrometry

A Delabrière - 2018 - theses.hal.science
Metabolomics is a phenotyping approach with promising prospects for the diagnosis and
monitoring of several diseases. The most widely used observation technique in …

[PDF][PDF] Condensed Graphs: Towards a General Approach for Faster Subgraph Census

ML Martins - 2019 - repositorio-aberto.up.pt
Determining subgraph frequencies is at the core of several graph mining methodologies
such as discovering network motifs or computing graphlet degree distributions. Current state …