scholarly journals BiobankUniverse: automatic matchmaking between datasets for biobank data discovery and integration

2017 ◽  
Vol 33 (22) ◽  
pp. 3627-3634 ◽  
Author(s):  
Chao Pang ◽  
Fleur Kelpin ◽  
David van Enckevort ◽  
Niina Eklund ◽  
Kaisa Silander ◽  
...  
Keyword(s):  
Data Discovery ◽  
Discovery And Integration

A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic States Prediction

2017 ◽  
Vol 8 (3) ◽  
pp. 1-18 ◽  
Author(s):  
Mohamed Elhadi Rahmani ◽  
Abdelmalek Amine ◽  
Reda Mohamed Hamou
Keyword(s):  
Data Mining ◽  
Seismic Hazard ◽  
Ground Motion ◽  
Geographic Area ◽  
Seismic Hazards ◽  
Data Discovery ◽  
Distance Calculation ◽  
Hard Problems ◽  
Recorded Data ◽  
Np Problems

Bio-inspired algorithms are sort of implementation of natural solutions to solve hard problems – so called NP problems. A seismic hazard is the probability that an earthquake will occur in a given geographic area, within a given window of time, and with ground motion intensity exceeding a given threshold. Seismic hazards prediction is one of the fields where data mining plays an important role. This paper presents a new bio-inspired algorithm motivated by the echolocation behavior of bats for seismic hazard states prediction in coal mines based on previously recorded data. It is a distance calculation based approach, Results were very satisfactory in a manner that encourage us to continue working on this approach. The implementation of the algorithm touches three fields of studies, data discovery or so called data mining, bio inspired techniques, and seismic hazards predictions.

scholarly journals Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery

2018 ◽  
Author(s):  
Raul Castro Fernandez ◽  
Essam Mansour ◽  
Abdulhakim A. Qahtan ◽  
Ahmed Elmagarmid ◽  
Ihab Ilyas ◽  
...  
Keyword(s):  
Word Embeddings ◽  
Data Discovery ◽  
Semantics Linking
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