Publications associées à Data profiling

Methodology for selecting measurement points that optimize information gain for model updating

Information collected through sensor measurements has the potential to improve knowledge of complex-system behavior, leading to better decisions related to system management. In this situation, and particularly when using digital twins, the quality of sens ...

2023

Holistic, Efficient, and Real-time Cleaning of Heterogeneous Data

Styliani Asimina Giannakopoulou

Data cleaning has become an indispensable part of data analysis due to the increasing amount of dirty data. Data scientists spend most of their time preparing dirty data before it can be used for data analysis. Existing solutions that attempt to automate t ...

EPFL2021

Containergy-A Container-Based Energy and Performance Profiling Tool for Next Generation Workloads

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar, Wellington Silva De Souza

Run-time profiling of software applications is key to energy efficiency. Even the most optimized hardware combined to an optimally designed software may become inefficient if operated poorly. Moreover, the diversification of modern computing platforms and ...

2020

Cleaning Denial Constraint Violations through Relaxation

Anastasia Ailamaki, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou

Data cleaning is a time-consuming process that depends on the data analysis that users perform. Existing solutions treat data cleaning as a separate offline process that takes place before analysis begins. Applying data cleaning before analysis assumes a p ...

ASSOC COMPUTING MACHINERY2020

Query-driven Repair of Functional Dependency Violations

Anastasia Ailamaki, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou

Data cleaning is a time-consuming process that depends on the data analysis that users perform. Existing solutions treat data cleaning as a separate offline process that takes place before analysis begins. Applying data cleaning before analysis assumes a p ...

IEEE COMPUTER SOC2020

An Experimental and Analytical Study of Periodic and Aperiodic Fluctuations in the Critical Current of Long Coated Conductors

It is well known that the critical current of all coated conductors fluctuates along their length and from run to run for reasons that are seldom reported in detail and may not always be understood. Here, we report results obtained with a reel-to-reel tran ...

IEEE Institute of Electrical and Electronics Engineers2017

CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning

Anastasia Ailamaki, Benjamin Cyrille Damien Gaidioz, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou

Data cleaning has become an indispensable part of data analysis due to the increasing amount of dirty data. Data scientists spend most of their time preparing dirty data before it can be used for data analysis. At the same time, the existing tools that att ...

Assoc Computing Machinery2017

How synthetic fingerprints can improve pre-selection of MCC pairs using local quality measures

Andrzej Drygajlo, Mohammad Hamed Izadi

A major source of errors in fingerprint recognition systems is poor quality of fingerprints. Local quality of fingerprints plays an important role in these systems to ensure high recognition performance. Recently an improved fingerprint matching method is ...

2015

Molecular Simulations Highlight the Role of Metals in Catalysis and Inhibition of Type II Topoisomerase

Matteo Dal Peraro, Marco Stenta, Andrea Cavalli

Type II topoisomerase (topoII) is a metalloenzyme targeted by clinical antibiotics and anticancer agents. Here, we integrate existing structural data with molecular simulation and propose a model for the yet uncharacterized structure of the reactant state ...

Amer Chemical Soc2013

SeMiTri: A Framework for Semantic Annotation of Heterogeneous Trajectories

Karl Aberer, Stefano Spaccapietra, Christine Parent, Zhixian Yan, Dipanjan Chakraborty

GPS devices allow recording the movement track of the moving object they are attached to. This data typically consists of a stream of spatio-temporal (x,y,t) points. For application purposes the stream is transformed into finite subsequences called {\em tr ...

ACM2011