84,99 €
inkl. MwSt.
Versandkostenfrei*Liefertermin unbestimmt
Melden Sie sich
hier
hier
für den Produktalarm an, um über die Verfügbarkeit des Produkts informiert zu werden.
0 °P sammeln
Andere Kunden interessierten sich auch für
![Big Data in der Praxis, m. 1 Buch, m. 1 E-Book]( "Big Data in der Praxis, m. 1 Buch, m. 1 E-Book")
Big Data in der Praxis, m. 1 Buch, m. 1 E-Book50,00 €![Enterprise Applications, Markets and Services in the Finance Industry]( "Enterprise Applications, Markets and Services in the Finance Industry")
Enterprise Applications, Markets and Services in the Finance Industry37,99 €![Information Systems: Research, Development, Applications, Education]( "Information Systems: Research, Development, Applications, Education")
Information Systems: Research, Development, Applications, Education37,99 €![Machine Learning, Optimization, and Data Science]( "Machine Learning, Optimization, and Data Science")
Machine Learning, Optimization, and Data Science38,99 €![Enterprise Applications, Markets and Services in the Finance Industry]( "Enterprise Applications, Markets and Services in the Finance Industry")
Enterprise Applications, Markets and Services in the Finance Industry37,99 €![Enterprise Applications, Markets and Services in the Finance Industry]( "Enterprise Applications, Markets and Services in the Finance Industry")
Enterprise Applications, Markets and Services in the Finance Industry41,99 €![Multimodal Analytics for Next-Generation Big Data Technologies and Applications]( "Multimodal Analytics for Next-Generation Big Data Technologies and Applications")
Multimodal Analytics for Next-Generation Big Data Technologies and Applications110,99 €
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 hypernetworksData-driven approach to detection of autism spectrum disorderAnonymization 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 SQLA Smart Recommendation System to Simplify Projecting for a HMI/SCADA Platform Use of Adversarial Networks as a Technology for Image AugmentationUsing 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 willstimulate new study, research, and the development of new applications.
Included among real-world applications of data science are papers on
Exploring insider trading using hypernetworksData-driven approach to detection of autism spectrum disorderAnonymization 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 SQLA Smart Recommendation System to Simplify Projecting for a HMI/SCADA Platform Use of Adversarial Networks as a Technology for Image AugmentationUsing 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 willstimulate new study, research, and the development of new applications.