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Data Science - Analytics and Applications, m. 1 Buch, m. 1 E-Book

Name: Data Science - Analytics and Applications, m. 1 Buch, m. 1 E-Book
Brand: Springer, Berlin
SKU: 9783658274948
Price: 2130 CZK
Availability: InStock

Proceedings of the 2nd International Data Science Conference - iDSC2019. E-Book inside

Autor: Peter Haber, Thomas Lampoltshammer, Manfred Mayr

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele v malém množství

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This book offers the proceedings of the Second International Data Science Conference (iDSC2019), org...

Informace o knize

Autor

Peter Haber, Thomas Lampoltshammer, Manfred Mayr

Jazyk

Němčina

Vydáno

2019

Stránek

102

EAN

9783658274948

Enbook ID

24525959

Vydavatel

Springer, Berlin

Hmotnost

531

Rozměry

206 x 289 x 12

Kompletní popis

This book offers the proceedings of the Second International Data Science Conference (iDSC2019), organized by Salzburg University of Applied Sciences, Austria. The Conference brought together researchers, scientists, and business experts to discuss new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The papers gathered here include case studies of applied techniques, and theoretical papers that push the field into the future. The full-length scientific-track papers on Data Analytics are broadly grouped by category, including Complexity; NLP and Semantics; Modelling; and Comprehensibility. Included among real-world applications of data science are papers on Exploring insider trading using hypernetworks Data-driven approach to detection of autism spectrum disorder Anonymization and sentiment analysis of Twitter posts Theoretical papers in the book cover such topics as Optimal Regression Tree Models Through Mixed Integer Programming; Chance Influence in Datasets with Large Number of Features; Adversarial Networks - A Technology for Image Augmentation; and Optimal Regression Tree Models Through Mixed Integer Programming. Five shorter student-track papers are also published here, on topics such as State-of-the-art Deep Learning Methods to effect Neural Machine Translation from Natural Language into SQL A Smart Recommendation System to Simplify Projecting for a HMI/SCADA Platform Use of Adversarial Networks as a Technology for Image Augmentation Using Supervised Learning to Predict the Reliability of a Welding Process The work collected in this volume of proceedings will provide researchers and practitioners with a detailed snapshot of current progress in the field of data science. Moreover, it will stimulate new study, research, and the development of new applications.

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Data Science - Analytics and Applications, m. 1 Buch, m. 1 E-Book

Proceedings of the 2nd International Data Science Conference - iDSC2019. E-Book inside

Informace o knize

Kompletní popis

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