Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

New Frontiers in Mining Complex Patterns

6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers
BuchKartoniert, Paperback
197 Seiten
Englisch
Springererschienen am24.03.20181st ed. 2018
This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 6th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in Skopje, Macedonia, in September 2017.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR53,49
BuchKartoniert, Paperback
EUR53,49
BuchKartoniert, Paperback
EUR51,36
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextThis book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 6th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in Skopje, Macedonia, in September 2017.
Details
ISBN/GTIN978-3-319-78679-7
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2018
Erscheinungsdatum24.03.2018
Auflage1st ed. 2018
ReiheLecture Notes in Artificial Intelligence
Seiten197 Seiten
SpracheEnglisch
Gewicht330 g
IllustrationenXII, 197 p. 57 illus.
Artikel-Nr.44486595

Inhalt/Kritik

Inhaltsverzeichnis
Learning Association Rules for Pharmacogenomic Studies.- Segment-Removal Based Stuttered Speech Remediation.- Identifying lncRNA-disease Relationships via Heterogeneous Clustering.- Density Estimators for Positive-Unlabeled Learning.- Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum.- A Scaled-Correlation Based Approach for Defining and analyzing functional networks.- Complex Localization in the Multiple Instance Learning Context.- Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform.- Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load.- Phenotype Prediction with Semi-supervised Classification Trees.- Structuring the Output Space in Multi-label Classification by Using Feature Ranking.- Infinite Mixtures of Markov Chains.- Community-based Semantic Subgroup Discovery.mehr

Schlagworte

Autor