Results 61 to 70 of about 5,729 (273)

Research on multiple enhanced k combination reverse Skyline query method

Journal of Big Data
The reverse Skyline query aims to identify a set of data points that dynamically dominate a query point from the decision-makers’ perspective. It has been widely applied in business decision-making, recommendation systems, location-based services ...
Song Li, Xinyuan Zhang, Liping Zhang
doaj   +1 more source

Improving package recommendations through query relaxation

, 2014
Recommendation systems aim to identify items that are likely to be of interest to users. In many cases, users are interested in package recommendations as collections of items. For example, a dietitian may wish to derive a dietary plan as a collection of
Abouzied, Azza, Brucato, Matteo, Meliou, Alexandra   +2 more
core   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Discovering the Skyline of Web Databases

, 2016
Many web databases are "hidden" behind proprietary search interfaces that enforce the top-$k$ output constraint, i.e., each query returns at most $k$ of all matching tuples, preferentially selected and returned according to a proprietary ranking function.
Asudeh, Abolfazl, Das, Gautam, Thirumuruganathan, Saravanan, Zhang, Nan   +3 more
core   +1 more source

Skyline queries over possibilistic RDF data

International Journal of Approximate Reasoning, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abidi, Amna, Elmi, Saida, Tobji, Mohamed Anis Bach, Hadjali, Allel, Yaghlane, Boutheina Ben   +4 more
openaire   +3 more sources

Skyline Queries with Noisy Comparisons [PDF]

Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2015
We study in this paper the computation of skyline queries-a popular tool for multicriteria data analysis-in the presence of noisy input. Motivated by crowdsourcing applications, we present the first algorithms for skyline evaluation in a computation model where the input data items can only be compared through noisy comparisons.
Groz, Benoit, Milo, Tova
openaire   +1 more source

Understanding and Optimizing Li Substitution in P2‐Type Sodium Layered Oxides for Sodium‐Ion Batteries

Advanced Functional Materials, EarlyView.
This work explores Li‐substituted P2 layered oxides for Na‐ion batteries by crystallographic and electrochemical studies. The effect of lithium on superstructure orderings, on phase transitions during synthesis and electrochemical cycling and on the interplay of O‐ versus TM‐redox is revealed via various advanced techniques, including semi‐simultaneous 
Mingfeng Xu, Giovanni Gammaitoni, Michael Häfner, Eduardo Villalobos‐Portillo, Carlo Marini, Matteo Bianchini   +5 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Parallelizing Skyline Queries for Scalable Distribution [PDF]

, 2006
Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. Current skyline computation methods are restricted to centralized query processors, limiting scalability and imposing a single point of failure.
Wu, P, Zhang, C J, Feng, Y, Zhao, Ben Y, Agrawal, D, El Abbadi, A   +5 more
openaire   +2 more sources