Results 61 to 70 of about 6,748 (226)
Geophysical Research Letters, Volume 52, Issue 7, 16 April 2025.Abstract During the March equinox of 2023, a strong easterly wind of ∼80 m s−1 appeared at an altitude of ∼82 km in the equatorial upper mesosphere, which is regarded as an enhancement of the mesopause semi‐annual oscillation. In this study, a new reanalysis data available up to 110 km was used to investigate its momentum budget.
Kaoru Sato +9 more
wiley +1 more source
Sensitivity Analysis in OLAP Databases
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018 The theoretical underpinnings under which sensitivity analysis is valid in OLAP databases are dealt with in this paper. Sensitivity analysis is considered to be the reverse of explanation generation in diagnostic reasoning. Our exposition differentiates between sensitivity analysis in systems of purely drill-down equation and mixed systems of equations
Caron, Emiel, Daniels, Hennie
openaire +2 more sources
Journal of Function Spaces, Volume 2025, Issue 1, 2025.A multigranulation roughness over dual universes establishes a unique viewpoint on the mixture of multigranulation data. Spherical fuzzy set is an extension of all existing theories such as fuzzy set, pythagorean fuzzy set, intuitionistic fuzzy set, and picture fuzzy set.
Rabia Mazhar +4 more
wiley +1 more source
Enhanced calendar support for temporal datacube queries
Transactions in GIS, Volume 28, Issue 7, Page 2089-2112, November 2024.Abstract A significant share of our data are timeseries. Time can occur as the single dimension, or further (such as spatial) dimensions can be present as well, leading to multidimensional data such as 3D x/y/t satellite image timeseries or 4D x/y/z/t atmospheric simulations like weather forecasts.
Peter Baumann +3 more
wiley +1 more source
Technology of separate generation of multidimensional data
Advanced Engineering Research, 2016 The research subject is the technology of generating the multivariable data representation with using separate formation of dimensions and measures. The purpose of the study is to provide a full level of the user’s work automation at the formation of new
Sergey V. Zykin +2 more
doaj +1 more source
Liquidity forecasting at corporate and subsidiary levels using machine learning
Intelligent Systems in Accounting, Finance and Management, Volume 31, Issue 3, September 2024.Summary Liquidity planning and forecasting are essential activities in corporate financial planning team. Traditionally, empirical models and techniques based on in‐house expertise have been used to navigate the numerous challenges of this forecasting activity.
Vinay Singh +2 more
wiley +1 more source
Representing dynamic dimensions in OLAP cubes [PDF]
, 2015 Two well-known approaches to modelling the dynamic dimensions are considered: a model with many-to-many relationship between the dimension hierarchy elements as well as Slowly Changing Dimensions.
Panchenko, T.V.
core
Approximate Query Processing: What is New and Where to Go?
Data Science and Engineering, 2018 Online analytical processing (OLAP) is a core functionality in database systems. The performance of OLAP is crucial to make online decisions in many applications.
Kaiyu Li, Guoliang Li
doaj +1 more source
, 2009 Online Analytical Processing on XML became a topic in the database research community, which is mostly due to the possibilities of XML to overcome the constraints of the relational multidimensional model. This pager gives an overview of changes and challenges in terms of storing multidimensional heterogeneous data in XML and how to query it.
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CoRR, 2010 Decisional systems are based on multidimensional databases improving OLAP analyses. The paper describes a new OLAP operator named "BLEND" to perform multigradual analyses. The operation transforms multidimensional structures during querying in order to analyse measures according to various granularity levels, which are reorganised into a single ...
Gilles Hubert 0001, Olivier Teste
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