Titlebook: Database and Expert Systems Applications; DEXA 2018 Internatio Mourad Elloumi,Michael Granitzer,Roland Wagner Conference proceedings 2018 S

Intentional

Big Data Analytics: Exploring Graphs with Optimized SQL Queriesntally show exploratory queries can be efficiently evaluated based on the input edges and it performs better than Spark. We also show that skewed degree vertices, cycles and cliques are the main reason exploratory queries become slow.

Anthology

Detecting Low Back Pain from Clinical Narratives Using Machine Learning Approachessits. The initial results show a high accuracy for the limited thirty-four patient labelled data set that we used in this pilot study. We are currently processing a larger data set to test our approach.

COMA

Classifying Big DNA Methylation Data: A Gene-Oriented Approachs) and we are able to successfully discriminate tumoral from non tumoral samples using function-, tree-, and rule-based classifiers. Finally, we select the best performing genes (matrices) ranking them according to the accuracy of the classifiers and we execute an enrichment analysis of them. Those

口味

強(qiáng)所

Decibel

MOAN

Suitable Overlapping Set Visualization Techniques and Their Application to Visualize Biclustering Ret recent years. Some of them can be considered as an ideal solution to visualize large sets with high number of possible relations between them. In this paper, we firstly review several set-visualizing techniques that we consider most suitable to satisfy the two mentioned features of biclustering an

arterioles

ferment

pancreas

https://doi.org/10.1007/978-1-84882-730-1ork we present our adaptable partitioning and replication approach for a distributed RDF triples store. The approach enables the storage layer to adapt with the available size of storage space and with the available quality of workload aiming to give the most optimized performance under these variab