- We will send in 10–14 business days.
/images/books/10825874/9781522520580.jpg)
- Publisher: Information Science Reference
- Year: 2017
- Pages: 660
- ISBN-10: 1522520589
- ISBN-13: 9781522520580
- Format: 21.6 x 27.9 x 3.5 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Ontologies and Big Data Considerations for Effective Intelligence (e-book) (used book) | bookbook.eu
Reviews
Description
Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new methods and approaches to increase productivity in these areas. Ontologies and Big Data Considerations for Effective Intelligence is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as visual analytics, spatial databases, retrieval systems, and ontology models, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 17d.03:17:08
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Information Science Reference
- Year: 2017
- Pages: 660
- ISBN-10: 1522520589
- ISBN-13: 9781522520580
- Format: 21.6 x 27.9 x 3.5 cm, hardcover
- Language: English English
Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new methods and approaches to increase productivity in these areas. Ontologies and Big Data Considerations for Effective Intelligence is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as visual analytics, spatial databases, retrieval systems, and ontology models, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.
Reviews