Results 61 to 70 of about 117,539 (289)

Demonstrating the Value of Data Warehouses [PDF]

open access: yes, 2005
The Department of Health Policy hosted a Professional Collaboration Day on June 14, 2005. The following is a summary of the morning session, hosted by GE Healthcare, which focused on Demonstrating the Value of Data ...

core   +1 more source

Linear integrated location-inventory models for service parts logistics network design [PDF]

open access: yes, 2013
We present two integrated network design and inventory control problems in service-parts logistics systems. Such models are complicated due to demand uncertainty and highly nonlinear time-based service level constraints.
Dasci, Abdullah   +3 more
core   +4 more sources

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Multi-Level Mining of Association Rules from Warehouse Schema

open access: yesKuwait Journal of Science, 2017
The integration of data mining techniques with data warehousing is becoming an interesting domain. The reason behind this popularity is the ability to extract knowledge from large data sets.
Muhammad Usman, Muhammad Usman
doaj  

Harnessing the Power of Scientific Data Warehouses [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2005
Data warehousing architecture should generally protect the confidentiality of data before it can be published, provide sufficient granularity to enable scientists to variously manipulate data, support robust metadata services, and define standardized ...
Kevin Deeb
doaj  

Association Rules Mining over Data Warehouses [PDF]

open access: yes, 2009
Tato práce se zabývá dolováním asociačních pravidel z datových skladů. V první části bude čtenář obeznámen s pojmy získávání znalostí z databází a dolování dat. Další část práce se zabývá problematikou datových skladů.
Hlavička, Ladislav
core  

Information Dense and Industry Scalable Accelerated Formation

open access: yesAdvanced Intelligent Discovery, EarlyView.
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker   +3 more
wiley   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod   +10 more
wiley   +1 more source

Goal oriented requirements engineering in data warehouses: A comparative study

open access: yesIngeniería e Investigación, 2014
Data warehouses provide historical information about the organization that needs to be analyzed by the decision makers; therefore, it is essential to develop them in the context of a strategic business plan.
Ania Cravero Leal   +4 more
doaj   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

open access: yesAdvanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob   +2 more
wiley   +1 more source

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