164 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- J. Darmont2 profiles17 · h 23
- Julien Velcin2 profiles9 · h 13
- Cécile Favre2 profiles5 · h 14
- Sabine Loudcher2 profiles5 · h 14
- Pegdwendé N. Sawadogo2 profiles4 · h 4
- Adrien Guille3 · h 10
- F. Ravat3 · h 20
- Gael Poux-Medard3 · h 6
- Guillaume Metzler2 profiles3 · h 2
- Irina Proskurina3 · h 4
- J. Jacques3 · h 19
- O. Teste3 · h 25
- Université Lumière Lyon 2FR21 papers
- Seattle Epidemiologic Information and Research CenterUS12 papers
- Lyon 1 UniversitéFR10 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Université de LyonFR4 papers
- Université Toulouse III - Paul SabatierFR4 papers
- Institut de Recherche en Informatique de ToulouseFR3 papers
- Institut Polytechnique de BordeauxFR3 papers
- Laboratoire d'Informatique en Images et Systèmes d'InformationFR3 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR3 papers
- Université Pierre Mendès FranceFR3 papers
- Université Toulouse-I-CapitoleFR3 papers
14 papers · 1 filter
Dataversifying Natural Sciences: Pioneering a Data Lake Architecture for Curated Data-Centric Experiments in Life \& Earth Sciences
Genoveva Vargas-Solar, Jérôme Darmont, Alejandro Adorjan +6
This vision paper introduces a pioneering data lake architecture designed to meet Life \& Earth sciences' burgeoning data management needs. As the data landscape evolves, the imper…
Dimensional Data KNN-Based Imputation
Yuzhao Yang, Jérôme Darmont, Franck Ravat +1
Data Warehouses (DWs) are core components of Business Intelligence (BI). Missing data in DWs have a great impact on data analyses. Therefore, missing data need to be completed. Unl…
Internal Data Imputation in Data Warehouse Dimensions
Yuzhao Yang, Fatma Abdelhedi, Jérôme Darmont +2
Missing values occur commonly in the multidimensional data warehouses. They may generate problems of usefulness of data since the analysis performed on a multidimensional data ware…
Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBench
Pegdwendé Sawadogo, Jérôme Darmont
In the last few years, the concept of data lake has become trendy for data storage and analysis. Thus, several design alternatives have been proposed to build data lake systems. Ho…
goldMEDAL : une nouvelle contribution {à} la mod{é}lisation g{é}n{é}rique des m{é}tadonn{é}es des lacs de donn{é}es
Etienne Scholly, Pegdwendé Sawadogo, Pengfei Liu +5
We summarize here a paper published in 2021 in the DOLAP international workshop DOLAP associated with the EDBT and ICDT conferences. We propose goldMEDAL, a generic metadata model…
Coining goldMEDAL: A New Contribution to Data Lake Generic Metadata Modeling
Etienne Scholly, Pegdwendé Sawadogo, Pengfei Liu +5
The rise of big data has revolutionized data exploitation practices and led to the emergence of new concepts. Among them, data lakes have emerged as large heterogeneous data reposi…
Automatic Integration Issues of Tabular Data for On-Line Analysis Processing
Yuzhao Yang, Jérôme Darmont, Franck Ravat +1
Companies and individuals produce numerous tabular data. The objective of this position paper is to draw up the challenges posed by the automatic integration of data in the form of…
Benchmarking Top-K Keyword and Top-K Document Processing with TK and TKD
Ciprian-Octavian Truica, Jérôme Darmont, Alexandru Boicea +1
Top-k keyword and top-k document extraction are very popular text analysis techniques. Top-k keywords and documents are often computed on-the-fly, but they exploit weighted vocabul…
TK: The Twitter Top-K Keywords Benchmark
Ciprian-Octavian Truică, Jérôme Darmont
Information retrieval from textual data focuses on the construction of vocabularies that contain weighted term tuples. Such vocabularies can then be exploited by various text analy…
S4: A New Secure Scheme for Enforcing Privacy in Cloud Data Warehouses
Somayeh Moghadam, Jérôme Darmont, Gérald Gavin
Outsourcing data into the cloud becomes popular thanks to the pay-as-you-go paradigm. However, such practice raises privacy concerns. The conventional way to achieve data privacy i…
Data Processing Benchmarks
Jérôme Darmont
The aim of this article is to present an overview of the major families of state-of-the-art data processing benchmarks, namely transaction processing benchmarks and decision suppor…
Cost Models for Selecting Materialized Views in Public Clouds
Romain Perriot, Jérémy Pfeifer, Laurent D 'Orazio +3
Data warehouse performance is usually achieved through physical data structures such as indexes or materialized views. In this context, cost models can help select a relevant set o…
A Scalable Document-based Architecture for Text Analysis
Ciprian-Octavian Truică, Jérôme Darmont, Julien Velcin
Analyzing textual data is a very challenging task because of the huge volume of data generated daily. Fundamental issues in text analysis include the lack of structure in document…
A Novel Query-Based Approach for Addressing Summarizability Issues in XOLAP
Marouane Hachicha, Chantola Kit, Jérôme Darmont
The business intelligence and decision-support systems used in many application domains casually rely on data warehouses, which are decision-oriented data repositories modeled as m…