Big Data for Prediction: Patent Analysis – Patenting Big Data for Prediction Analysis (CROSBI ID 62661)
Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Pejić Bach, Mirjana ; Pivar, Jasmina ; Krstić, Živko
engleski
Big Data for Prediction: Patent Analysis – Patenting Big Data for Prediction Analysis
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.
big data, patent analysis, prediction
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Podaci o prilogu
218-240.
objavljeno
10.4018/978-1-5225-7077-6.ch010
Podaci o knjizi
Big Data Governance and Perspectives in Knowledge Management
Strydom, Moses John ; Kruger Strydom, Sheryl Beverley
Hershey (PA): IGI Global
2019.
9781522570776
Povezanost rada
Ekonomija, Informacijske i komunikacijske znanosti