• DocumentCode
    2129484
  • Title

    Behavior Informatics and Analytics: Let Behavior Talk

  • Author

    Cao, Longbing

  • Author_Institution
    Data Sci. & Knowledge Discovery Lab., Univ. of Technol., Sydney, NSW
  • fYear
    2008
  • fDate
    15-19 Dec. 2008
  • Firstpage
    87
  • Lastpage
    96
  • Abstract
    Behavior is increasingly recognized as a key component in business intelligence and problem-solving. Different from traditional behavior analysis, which mainly focus on implicit behavior and explicit business appearance as a result of business usage and customer demographics, this paper proposes the field of Behavior Informatics and Analytics (BIA), to support explicit behavior involvement through a conversion from transactional data to behavioral data, and further genuine analysis of native behavior patterns and impacts. BIA consists of key components including behavior modeling and representation, behavioral data construction, behavior impact modeling, behavior pattern analysis, and behavior presentation. BIA can greatly complement the existing means for combined, more informative and social patterns and solutions for critical problem-solving in areas such as dealing with customer-officer interaction, counter-terrorism and monitoring online communities.
  • Keywords
    behavioural sciences computing; competitive intelligence; data handling; behavior informatics; behavior modeling; behavior pattern analysis; behavior presentation; behavioral data construction; business intelligence; business usage; customer demographics; problem-solving; social patterns; traditional behavior analysis; transactional data; Customer relationship management; Data analysis; Data mining; Demography; Humans; Informatics; Information technology; Monitoring; Pattern analysis; Problem-solving; Behavior Informatics and Analytics; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-0-7695-3503-6
  • Electronic_ISBN
    978-0-7695-3503-6
  • Type

    conf

  • DOI
    10.1109/ICDMW.2008.95
  • Filename
    4733926