Data Analytics and Management in Data Intensive Domains : XVIII International Conference, DAMDID/RCDL 2016, Ershovo, Moscow, Russia, October 11 -14, 2016, Revised Selected Papers

Leonid Kalinichenko

ISBN 10: 3319571346 / ISBN 13: 9783319571348

Verlag: Springer International Publishing, Springer International Publishing, 2017

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 28th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016, held in Ershovo, Moscow, Russia, in October 2016.The 16 revised full papers presented together with one invited talk and two keynote papers were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections on semantic modeling in data intensive domains; knowledge and learning management; text mining; data infrastructures in astrophysics; data analysis; research infrastructures; position paper.

Bestandsnummer des Verkäufers 9783319571348

Bibliografische Details

• Titel: Data Analytics and Management in Data Intensive Domains : XVIII International Conference, DAMDID/RCDL 2016, Ershovo, Moscow, Russia, October 11 -14, 2016, Revised Selected Papers
• Verlag: Springer International Publishing, Springer International Publishing
• Erscheinungsjahr: 2017
• Sprache: Englisch
• ISBN-10: 3319571346
• ISBN-13: 9783319571348
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 17 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 17 mm
• Gewicht: 452 Gramm

Über diesen Titel

Inhaltsangabe

This book constitutes the refereed proceedings of the 28^th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016, held in Ershovo, Moscow, Russia, in October 2016.

The 16 revised full papers presented together with one invited talk and two keynote papers were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections on semantic modeling in data intensive domains; knowledge and learning management; text mining; data infrastructures in astrophysics; data analysis; research infrastructures; position paper.