Titlebook: Data Management Technologies and Applications; 8th International Co Slimane Hammoudi,Christoph Quix,Jorge Bernardino Conference proceedings

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书目名称Data Management Technologies and Applications影响因子(影响力)




书目名称Data Management Technologies and Applications影响因子(影响力)学科排名




书目名称Data Management Technologies and Applications网络公开度




书目名称Data Management Technologies and Applications网络公开度学科排名




书目名称Data Management Technologies and Applications被引频次




书目名称Data Management Technologies and Applications被引频次学科排名




书目名称Data Management Technologies and Applications年度引用




书目名称Data Management Technologies and Applications年度引用学科排名




书目名称Data Management Technologies and Applications读者反馈




书目名称Data Management Technologies and Applications读者反馈学科排名

Kernel

growth-factor

Charles W. Finkl,Christopher Makowski are built and trained for predicting production line disruptions, although only logistic regression and artificial neural networks are discussed in detail. Finally, it evaluates the effectiveness of the machine learning models as well as the overall utilization of the manufacturing operation in terms of availability, performance and quality.

承认

OPINE

The Sundarbans, Bangladesh and India as “unusual”. We tested the proposed method in two different real-life cases: textile manufacturing process and plastic injection molding process. Proposed DSS supports online decisions through live process monitoring screens and provides real time quality predictions, which help to minimize the total number of nonconforming products.

grenade

grenade

Optimizing Steering of Roaming Traffic with A-number Billing Under a Rolling Horizon Policy,nd forecasting and policy updating. The results show that the steering cost is decreased approximately 11% with deterministic demand and 10% with forecasted demand compared to the base cost value provided by the company. Also, the model provides approximately 26% decrease in unsatisfied committed volume in agreements.

Panacea

A Web-Based Decision Support System for Quality Prediction in Manufacturing Using Ensemble of Regre as “unusual”. We tested the proposed method in two different real-life cases: textile manufacturing process and plastic injection molding process. Proposed DSS supports online decisions through live process monitoring screens and provides real time quality predictions, which help to minimize the total number of nonconforming products.

使腐烂

1865-0929 ns, DATA 2019, held in Prague, Czech Republic, in July 2019. The 8 revised full papers were carefully reviewed and selected from 90 submissions. The papers deal with the following topics: decision support systems, data analytics, data and information quality, digital rights management, big data, kno

ICLE

1865-0929 wledge management, ontology engineering, digital libraries, mobile databases, object-oriented database systems, and data integrity..978-3-030-54594-9978-3-030-54595-6Series ISSN 1865-0929 Series E-ISSN 1865-0937