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

doi:10.1109/BDCloud-SocialCom-SustainCom.2016.32

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

Politics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

4 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 language	English
Title of host publication	International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom)
Publisher	IEEE
Pages	145-150
Number of pages	6
DOIs	https://doi.org/10.1109/BDCloud-SocialCom-SustainCom.2016.32
Publication status	Published - 31 Oct 2016
Event	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 Duration: 8 Oct 2016 → 10 Oct 2016

Conference

Conference	2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom)
Country/Territory	United States
City	Atlanta
Period	8/10/16 → 10/10/16

Keywords

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

Access to Document

10.1109/BDCloud-SocialCom-SustainCom.2016.32Licence: Unspecified

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. et al. / 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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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.",

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",

year = "2016",

month = oct,

day = "31",

doi = "10.1109/BDCloud-SocialCom-SustainCom.2016.32",

language = "English",

pages = "145--150",

booktitle = "International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom)",

publisher = "IEEE",

note = "2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom) ; Conference date: 08-10-2016 Through 10-10-2016",

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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, Georgia, 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. et al.
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 proceeding › Conference contribution book

TY - GEN

T1 - Big data and business

T2 - 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom)

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

KW - commercial databases

KW - tech mining

KW - network analysis

KW - ProQuest

KW - technological innovation

KW - cloud computing

U2 - 10.1109/BDCloud-SocialCom-SustainCom.2016.32

DO - 10.1109/BDCloud-SocialCom-SustainCom.2016.32

M3 - Conference contribution book

SP - 145

EP - 150

BT - International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom)

PB - IEEE

Y2 - 8 October 2016 through 10 October 2016

ER -

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 doi: 10.1109/BDCloud-SocialCom-SustainCom.2016.32

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

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Keywords

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