Big data and business: Tech mining to capture business interests and activities around big data

Ying Huang, Jan Youtie, Alan L. Porter, Douglas K. R. Robinson, Scott W Cunningham, Donghua Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationInternational Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom)
PublisherIEEE
Pages145-150
Number of pages6
DOIs
Publication statusPublished - 31 Oct 2016
Event2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom) - Atlanta, United States
Duration: 8 Oct 201610 Oct 2016

Conference

Conference2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom)
CountryUnited States
CityAtlanta
Period8/10/1610/10/16

Fingerprint

Industry
Innovation
Gages
Big data

Keywords

  • big data
  • commercial databases
  • tech mining
  • network analysis
  • ProQuest
  • technological innovation
  • cloud computing

Cite this

Huang, Y., Youtie, J., Porter, A. L., Robinson, D. K. R., Cunningham, S. W., & Zhu, D. (2016). Big data and business: Tech mining to capture business interests and activities around big data. In International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom) (pp. 145-150). IEEE. https://doi.org/10.1109/BDCloud-SocialCom-SustainCom.2016.32
Huang, Ying ; Youtie, Jan ; Porter, Alan L. ; Robinson, Douglas K. R. ; Cunningham, Scott W ; Zhu, Donghua. / Big data and business : Tech mining to capture business interests and activities around big data. International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom). IEEE, 2016. pp. 145-150
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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.",
keywords = "big data, commercial databases, tech mining, network analysis, ProQuest, technological innovation, cloud computing",
author = "Ying Huang and Jan Youtie and Porter, {Alan L.} and Robinson, {Douglas K. R.} and Cunningham, {Scott W} and Donghua Zhu",
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Huang, Y, Youtie, J, Porter, AL, Robinson, DKR, Cunningham, SW & Zhu, D 2016, Big data and business: Tech mining to capture business interests and activities around big data. in International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom). IEEE, pp. 145-150, 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom), Atlanta, United States, 8/10/16. https://doi.org/10.1109/BDCloud-SocialCom-SustainCom.2016.32

Big data and business : Tech mining to capture business interests and activities around big data. / Huang, Ying; Youtie, Jan; Porter, Alan L.; Robinson, Douglas K. R. ; Cunningham, Scott W; Zhu, Donghua.

International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom). IEEE, 2016. p. 145-150.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Big data and business

T2 - Tech mining to capture business interests and activities around big data

AU - Huang, Ying

AU - Youtie, Jan

AU - Porter, Alan L.

AU - Robinson, Douglas K. R.

AU - Cunningham, Scott W

AU - Zhu, Donghua

PY - 2016/10/31

Y1 - 2016/10/31

N2 - 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.

AB - 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.

KW - big data

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M3 - Conference contribution book

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Huang Y, Youtie J, Porter AL, Robinson DKR, Cunningham SW, Zhu D. Big data and business: Tech mining to capture business interests and activities around big data. In International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom). IEEE. 2016. p. 145-150 https://doi.org/10.1109/BDCloud-SocialCom-SustainCom.2016.32