Big Data and Business: Tech mining to capture business interests and activities around Big Data

被引:4
|
作者
Huang, Ying [1 ]
Youtie, Jan [2 ]
Porter, Alan L. [3 ,4 ]
Robinson, Douglas K. R. [5 ]
Cunningham, Scott W. [6 ]
Zhu, Donghua [1 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] Georgia Inst Technol, Enterprise Innovat Inst, Atlanta, GA 30332 USA
[3] Georgia Inst Technol, Sch Publ Policy, Atlanta, GA 30332 USA
[4] Search Technol Inc, Atlanta, GA 30092 USA
[5] Univ Paris Est, Lab Interdisciplinaire Sci Innovat Soci, ESIEE IFRIS, Champs Sur Marne, France
[6] Delft Univ Technol, Dept Technol Policy & Management, Jaffalaan 5, NL-2628 BX Delft, Netherlands
基金
美国国家科学基金会;
关键词
Big Data; Commercial Database; Tech Mining; Network Analysis; Pro Quest;
D O I
10.1109/BDCloud-SocialCom-SustainCom.2016.32
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:145 / 150
页数:6
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