Muutke küpsiste eelistusi

E-raamat: ECML PKDD 2018 Workshops: MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Formaat - EPUB+DRM
  • Hind: 55,56 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book constitutes revised selected papers from two workshops held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018, namely:





MIDAS 2018 Third Workshop on Mining Data for Financial Applications and PAP 2018 Second International Workshop on Personal Analytics and Privacy.





The 12 papers presented in this volume were carefully reviewed and selected from a total of 17 submissions.







 
A Multivariate and Multi-step ahead Machine Learning Approach to
Traditional and Cryptocurrencies Volatility Forecasting.- Calibrating the
Mean-reversion Parameter in the Hull-White Model Using NeuralNetworks.- Deep
Factor ModelExplaining Deep Learning Decisions for Forecasting Stock Returns
with Layer-wise Relevance Propagation.- A Comparison of Neural Network
Methods for Accurate Sentiment Analysis of Stock Market Tweets.- A
Progressive Resampling Algorithm for Finding Very Sparse Investment
Portfolios.- ICIE 1.0: A Novel Tool for Interactive Contextual Interaction
Explanations.- Testing for Self-excitation in Financial Events: A Bayesian
Approach.-  A Web Crawling Environment to Support Financial Strategies and
Trend Correlation.- A differential privacy workflow for inference of
parameters in the Rasch model.- Privacy Preserving Client/Vertical-Servers
Classification.- Privacy Risk for Individual Basket Patterns.- Exploring
Students Eating Habits through Individual Profiling and Clustering Analysis.