Results 31 to 40 of about 18,606,705 (199)

Modelling summary data

Proceedings of the 1981 ACM SIGMOD international conference on Management of data - SIGMOD '81, 1981
Several problems in specifying aggregate functions in relational systems are investigated. We propose a solution to these problems in the form of an extension of the relational data model. In particular we introduce the concept of summary data. The query language STRAND is presented in order to describe retrieval operations on the extended model ...
openaire   +2 more sources

Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges

Journal of Big Data
The United Nations’ 17 Sustainable Development Goals stress the importance of global and local efforts to address inequalities and implement sustainability.
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Ziad Rizk, Herbert Jodlbauer   +4 more
doaj   +1 more source

Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

Frontiers in Neuroinformatics, 2019
There has been a recent major upsurge in the concerns about reproducibility in many areas of science. Within the neuroimaging domain, one approach is to promote reproducibility is to target the re-executability of the publication.
David N. Kennedy, Sanu A. Abraham, Julianna F. Bates, Albert Crowley, Satrajit Ghosh, Tom Gillespie, Mathias Goncalves, Jeffrey S. Grethe, Yaroslav O. Halchenko, Michael Hanke, Christian Haselgrove, Steven M. Hodge, Dorota Jarecka, Jakub Kaczmarzyk, David B. Keator, Kyle Meyer, Maryann E. Martone, Smruti Padhy, Jean-Baptiste Poline, Nina Preuss, Troy Sincomb, Matt Travers   +21 more
doaj   +1 more source

Data assimilation in a multi-scale model [PDF]

, 2017
Data assimilation for multi-scale models is an important contemporary research topic. Especially the role of unresolved scales and model error in data assimilation needs to be systematically addressed.
Anderson, Anderson, Berner, Berry, Bonavita, Bonavita, Builtjes, Clayton, Courtier, Crommelin, Dalcher, Daley, Echevin, Ehrendorfer, Evensen, Fatkullin, Fisher, Franzke, Franzke, Gottwald, Grooms, Hamil, Haugen, Houtekamer, Hunt, Järvinen, Kalman, Kalman, Kalnay, Keppenne, Lorenc, Lorenz, Lorenz, Majda, Majda, Majda, Meng, Miller, Mitchell, Mitchell, Palmer, Pham, Rizzoli, Simmons, Toth, Var, Walker, Wang, Whitaker, Whitaker, Wilks   +50 more
core   +1 more source

On cost and revenue in circular supply chains: Where to close the loop?

Cleaner Logistics and Supply Chain
Environmental sustainability is a main research topic in supply chain management, including sustainable, green, closed-loop, and circular supply chain management concepts.
Herbert Jodlbauer, Matthias Thürer, Ann-Kristin Thienemann   +2 more
doaj   +1 more source

A probabilistic threshold model: Analyzing semantic categorization data with the Rasch model [PDF]

, 2010
According to the Threshold Theory (Hampton, 1995, 2007) semantic categorization decisions come about through the placement of a threshold criterion along a dimension that represents items' similarity to the category representation.
Baker, Barsalou, Birnbaum, Bjorklund, Braeken, Braisby, Braisby, Clark, De Boeck, Dry, Fischer, Gardner, Gert Storms, Hampton, Hampton, Hampton, Hampton, Hampton, James A. Hampton, Janssen, Johnson, Keil, Kim, Komatsu, Lee, Lin, Lunn, McCloskey, Mervis, Mervis, Nelson, Osherson, Palmeri, Rasch, Rizopoulos, Smith, Steven Verheyen, Stukken, Thissen, Tuerlinckx, Van den Noortgate, Vanpaemel, Verheyen, Verheyen   +43 more
core   +1 more source

Harnessing dynamic capabilities for data-driven business model innovation in incumbents

Digital Business
Data-driven business model innovation (DDBMI) leverages digital technologies to seize opportunities and address challenges, yet incumbents often struggle due to their reliance on existing capabilities.
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Herbert Jodlbauer   +3 more
doaj   +1 more source

Observation Centric Sensor Data Model [PDF]

, 2010
Management of sensor data requires metadata to understand the semantics of observations. While e-science researchers have high demands on metadata, they are selective in entering metadata.
Schneider, Philipp, Wombacher, Andreas
core   +2 more sources

A paper mill detection model based on citation manipulation paradigm

Journal of Data and Information Science
In this paper, we develop a heterogeneous graph network using citation relations between papers and their basic information centered around the “Paper mills” papers under withdrawal observation, and we train graph neural network models and classifiers on
Zhang Jun, Liu Jianhua, E Haihong, Hu Tianyi, Qiao Xiaodong, Tang ZiChen   +5 more
doaj   +1 more source

Optimal Data Split Methodology for Model Validation [PDF]

, 2011
The decision to incorporate cross-validation into validation processes of mathematical models raises an immediate question - how should one partition the data into calibration and validation sets?
Bryant, Corey, Miki, Kenji, Morrison, Rebecca, Prudhomme, Serge, Terejanu, Gabriel   +4 more
core