Pattern Mining in Spatio-Temporal Databases

Sunitha Gurram

ISBN 10: 6139975743 / ISBN 13: 9786139975747

Published by LAP LAMBERT Academic Publishing Dez 2018, 2018

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -The adeptness and adaptability of the knowledge discovery process to analyze a variety of application areas has suggested a rich area with abounding ambit for research and all of this has started when geospatial databases have challenged us with their enormity and complexity. The geospatial databases holds key for us to understand the geographic phenomena. Spatio-temporal data arises due to the enormous establishment of tracking and measuring devices. These devices collect data continuously at unprecedented speed forming big databases. Hence, focus of the research today is on developing techniques to efficiently handle the voluminous spatio-temporal data. This book introduces the challenges, applications and the current research trends in spatio-temporal data mining.Books on Demand GmbH, Überseering 33, 22297 Hamburg 192 pp. Englisch.

Seller Inventory # 9786139975747

Bibliographic Details

• Title: Pattern Mining in Spatio-Temporal Databases
• Publisher: LAP LAMBERT Academic Publishing Dez 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 6139975743
• ISBN 13: 9786139975747
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 304 grams

About this title

Synopsis

The adeptness and adaptability of the knowledge discovery process to analyze a variety of application areas has suggested a rich area with abounding ambit for research and all of this has started when geospatial databases have challenged us with their enormity and complexity. The geospatial databases holds key for us to understand the geographic phenomena. Spatio-temporal data arises due to the enormous establishment of tracking and measuring devices. These devices collect data continuously at unprecedented speed forming big databases. Hence, focus of the research today is on developing techniques to efficiently handle the voluminous spatio-temporal data. This book introduces the challenges, applications and the current research trends in spatio-temporal data mining.