Paper Info
Title
Big Data and Business: Tech Mining to Capture Business Interests and Activities around Big Data
Abstract
Innovations around "Big Data" can be characterized in terms of rapid technology development and deployment dynamics. For this purpose, combining "tech mining" (extraction of usable intelligence) from publication and patent databases with tech mining of business-related databases can elucidate activities and interests of business communities regarding Big Data innovation pathways. In this paper, we focus on commercially oriented databases -- ABI/INFORM as a source from which to extract business intents. We select the database to help gauge "hot topics" in industry with regard to Big Data. Our results show that certain types of firms can be clustered into thematic groups relating to Big Data discussions and activities. In the paper we demonstrate that such analyses can illuminate themes being pursued by businesses. Like social media analyses, this text mining can provide useful intelligence to inform more in-depth investigation mobilizing other data sources and techniques.
Year
DOI
Venue
2016
10.1109/BDCloud-SocialCom-SustainCom.2016.32
2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom)
Keywords
Field
DocType
Big Data,Commercial Database,Tech Mining,Network Analysis,ProQuest
Data science,Technology development,USable,Social media,Software deployment,Computer science,Thematic map,Big data,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-5090-3937-1
0
0.34
References 
Authors
3
6
Name
Order
Citations
PageRank
Ying Huang1316.96
Jan L. Youtie2767.99
Alan L. Porter339832.61
Douglas K. R. Robinson4184.83
Scott W. Cunningham5275.06
Donghua Zhu6406.32