Naslov
Big Data for Prediction: Patent Analysis – Patenting Big Data for Prediction Analysis

Autori
Pejić Bach, Mirjana ; Pivar, Jasmina ; Krstić, Živko

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Big Data Governance and Perspectives in Knowledge Management

Urednik/ci
Strydom, Moses John ; Kruger Strydom, Sheryl Beverley

Izdavač
IGI Global

Grad
Hershey (PA)

Godina
2019

Raspon stranica
218-240

ISBN
9781522570776

Ključne riječi
big data, patent analysis, prediction

Sažetak
Technical field of big data for prediction lures the attention of different stakeholders. The reasons are related to the potentials of the big data, which allows for learning from past behavior, discovering patterns and values, and optimizing business processes based on new insights from large databases. However, in order to fully utilize the potentials of big data, its stakeholders need to understand the scope and volume of patenting related to big data usage for prediction. Therefore, this chapter aims to perform an analysis of patenting activities related to big data usage for prediction. This is done by (1) exploring the timeline and geographic distribution of patenting activities, (2) exploring the most active assignees of technical content of interest, (3) detecting the type of the protected technical according to the international patent classification system, and (4) performing text-mining analysis to discover the topics emerging most often in patents' abstracts.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti

POVEZANOST RADA