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Data lineage
Related publications (36)
From Data Quality to Big Data Quality
This article investigates the evolution of data quality issues from traditional structured data managed in relational databases to Big Data. In particular, the paper examines the nature of the relationship between Data Quality and several research coordina ...
2015Height-resolved quantification of microstructure and texture in polycrystalline thin films using TEM orientation mapping
Cécile Hébert, Duncan Thomas Lindsay Alexander, Arthur Brian Aebersold
A method is presented for the quantitative investigation of microstructure and texture evolution in polycrystalline thin films based on in-plane automated crystal orientation mapping in transmission electron microscopy, from the substrate up. To demonstrat ...
Elsevier Science Bv2015Automated analysis of product related data generated from PLM ontology
In recent years, ontology for the Product Lifecycle Management domain has raised a lot of interest in research communities, both academic and industrial. It has emerged as a convenient method for supporting the concept of closed lifecycle information loop, ...
EPFL2015A pre-estimation filtering process of bad data for linear power systems state estimators using PMUs
Jean-Yves Le Boudec, Mario Paolone, Marco Pignati, Lorenzo Zanni, Styliani Sarri
The paper proposes a specific algorithm for the pre-estimation filtering of bad data (BD) in PMU-based power systems linear State Estimators (SEs). The approach is framed in the context of the so-called real-time SEs that take advantage of the high measure ...
Wroclaw University of Technology2014Solid-State Storage and Work Sharing for Efficient Scaleup Data Analytics
Manoussos Gavriil Athanassoulis
Today, managing, storing and analyzing data continuously in order to gain additional insight is becoming commonplace. Data analytics engines have been traditionally optimized for read-only queries assuming that the main data reside on mechanical disks. The ...
EPFL2014Adaptive Query Processing on RAW Data
Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Manolis Karpathiotakis, Ioannis Alagiannis
Database systems deliver impressive performance for large classes of workloads as the result of decades of research into optimizing database engines. High performance, however, is achieved at the cost of versatility. In particular, database systems only op ...
2014Adaptation, Learning, and Optimization over Networks
This work deals with the topic of information processing over graphs. The presentation is largely self-contained and covers results that relate to the analysis and design of multi-agent networks for the distributed solution of optimization, adaptation, and ...
NOW Publishers2014DiNoDB: Efficient Large-Scale Raw Data Analytics
Anastasia Ailamaki, Marko Vukolic, Ioannis Alagiannis, Erietta Liarou, Yongchao Tian
Modern big data workflows, found in e.g., machine learning use cases, often involve iterations of cycles of batch analytics and interactive analytics on temporary data. Whereas batch analytics solutions for large volumes of raw data are well established (e ...
2014Evaluating Efficient Data Collection Algorithms for Environmental Sensor Networks
Alcherio Martinoli, Alexander Bahr, William Christopher Evans
Although there exists a large body of work on efficient data collection in sensor networks, the vast majority of proposed techniques have not been implemented on real networks or thoroughly studied on real data. As algorithm performance is highly dependent ...
Springer-Verlag Berlin2013Same Queries, Different Data: Can we Predict Query Performance?
Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Adrian Daniel Popescu
We consider MapReduce workloads that are produced by analytics applications. In contrast to ad hoc query workloads, analytics applications are comprised of fixed data flows that are run over newly arriving data sets or on different portions of an existing ...
2012