The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Actionable Knowledge Discovery
Abstract
Actionable knowledge discovery is selected as one of the greatest challenges (Ankerst, 2002; Fayyad, Shapiro, & Uthurusamy, 2003) of next-generation knowledge discovery in database (KDD) studies (Han & Kamber, 2006). In the existing data mining, often mined patterns are nonactionable to real user needs. To enhance knowledge actionability, domain-related social intelligence is substantially essential (Cao et al., 2006b). The involvement of domain-related social intelligence into data mining leads to domaindriven data mining (Cao & Zhang, 2006a, 2007a), which complements traditional data-centered mining methodology. Domain-related social intelligence consists of intelligence of human, domain, environment, society and cyberspace, which complements data intelligence. The extension of KDD toward domain-driven data mining involves many challenging but promising research and development issues in KDD. Studies in regard to these issues may promote the paradigm shift of KDD from data-centered interesting pattern mining to domain-driven actionable knowledge discovery, and the deployment shift from simulated data set-based to real-life data and business environment-oriented as widely predicted.
Related Content
Tereza Raquel Merlo, Nayana Madali M. Pampapura, Jason M. Merlo.
© 2024.
14 pages.
|
Kris Swen Helge.
© 2024.
9 pages.
|
Ahmad Tasnim Siddiqui, Gulshaira Banu Jahangeer, Amjath Fareeth Basha.
© 2024.
12 pages.
|
Jennie Lee Khun.
© 2024.
19 pages.
|
Tereza Raquel Merlo.
© 2024.
19 pages.
|
Akash Bag, Paridhi Sharma, Pranjal Khare, Souvik Roy.
© 2024.
31 pages.
|
Akash Bag, Upasana Khattri, Aditya Agrawal, Souvik Roy.
© 2024.
28 pages.
|
|
|