15 citations · 27 across the 6 of their papers we have counts for
6 papers
DECWA : Density-Based Clustering using Wasserstein Distance
Nabil El Malki, Robin Cugny, Olivier Teste +1
Clustering is a data analysis method for extracting knowledge by discovering groups of data called clusters. Among these methods, state-of-the-art density-based clustering methods…
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…
An Automatic Schema-Instance Approach for Merging Multidimensional Data Warehouses
Yuzhao Yang, Jérôme Darmont, Franck Ravat +1
Using data warehouses to analyse multidimensional data is a significant task in company decision-making.The data warehouse merging process is composed of two steps: matching multid…
Data Lake Ingestion Management
Yan Zhao, Imen Megdiche, Franck Ravat
Data Lake (DL) is a Big Data analysis solution which ingests raw data in their native format and allows users to process these data upon usage. Data ingestion is not a simple copy…
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…