Spatiotemporal data analytics and modeling: (Record no. 8503)

MARC details
000 -LEADER
fixed length control field 03084nam a22002417a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250114111430.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789819996506
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7
Item number JOH
245 ## - TITLE STATEMENT
Title Spatiotemporal data analytics and modeling:
Remainder of title techniques and applications
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Springer
Place of publication, distribution, etc. Singapore
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent xii, 245 p.
365 ## - TRADE PRICE
Price type code EUR
Price amount 159.99
490 ## - SERIES STATEMENT
Series statement Big Data Management
520 ## - SUMMARY, ETC.
Summary, etc. With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artificial intelligence and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services.<br/><br/>A “spatial data management system” is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with artificial intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services.<br/><br/>This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of artificial intelligence and machine learning for spatiotemporal data analysis and modeling. The book is composed of several chapters written by experts in their fields and focusing on several applications including recommendation systems, big data analytics, supply chains and e-commerce, energy consumption and demand forecasting,and traffic and environmental monitoring. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as data science and engineering, big data analytics and mining, artificial intelligence, machine learning and deep learning, cloud computing, and internet of things<br/><br/>(https://link.springer.com/book/10.1007/978-981-99-9651-3)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Geomatics
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name John, A [Editor]
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Abimannan, Satheesh [Editor]
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name El-Alfy, El-Sayed M [Editor]
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Chang,Yue-Shan [Editor]
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences IN31971 18-12-2024 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 01/18/2025 Overseas Press India Private 9889.78   005.7 JOH 007252 01/18/2025 1 15215.05 01/18/2025 Book

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