Domain Driven Data Mining For It Infrastructure Support

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(PDF) Domain-Driven Data Mining for IT Infrastructure Support

    https://www.researchgate.net/publication/224212860_Domain-Driven_Data_Mining_for_IT_Infrastructure_Support
    Support analytics (i.e., statistical analysis, modeling and mining of customer/operations support tickets data) is important in service industries. In this paper, we adopt a domain-driven data...

Domain-Driven Data Mining for IT Infrastructure Support ...

    https://ieeexplore.ieee.org/document/5693399/
    Domain-Driven Data Mining for IT Infrastructure Support Abstract: Support analytics (i.e., statistical analysis, modeling and mining of customer/operations support tickets data) is important in service industries.

Domain-Driven Data Mining for IT Infrastructure Support

    https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005693399
    Support analytics (i.e., statistical analysis, modeling and mining of customer/operations support tickets data) is important in service industries. In this paper, we adopt a domain-driven data mining approach to support analytics with a focus on IT infrastructure Support (ITIS) services.

International Journal of Innovative Technology and ...

    http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.674.5595&rep=rep1&type=pdf
    Comparative Study of Domain Driven Data Mining for It Infrastructure Suport 226 expertise in setting up appropriate data-mining experiments, selecting and understanding the extracted knowledge and applying it to solve the business problem. This demands data-mining expertise as well as domain expertise - a rare combination.

Domain Driven Data Mining: An Efficient Solution For IT ...

    http://www.ijceronline.com/papers/Vol3_issue5/Part.4/F035431037.pdf
    domain-driven data mining approach to support analytics with a focus on IT infrastructure Support (ITIS) services. The proposed methodology can identify …

Domain-Driven Data Mining - Semantic Scholar

    https://pdfs.semanticscholar.org/e92c/5781af06fa9deb882393900ab85a957b65c9.pdf
    The domain-driven data mining consists of a DDID-PD framework that considers key components such as constraint- based context, integrating domain knowledge, human-machine cooperation, in-depth mining, actionability enhancement, and iterative refinement process.

[PDF] Comparative Study of Domain Driven Data Mining for ...

    https://www.semanticscholar.org/paper/Comparative-Study-of-Domain-Driven-Data-Mining-for-Elangovan-Ramaraj/d1bce26d016dc308c920858c64b954292e78ac6c
    Comparative Study of Domain Driven Data Mining for It Infrastructure Suport @inproceedings{Elangovan2013ComparativeSO, title={Comparative Study of Domain Driven Data Mining for It Infrastructure Suport}, author={Venkateswaran Ramamoorthi …

Comparative Study of Domain Driven Data Mining for It ...

    http://core.ac.uk/display/28080897
    Comparative Study of Domain Driven Data Mining for It Infrastructure Suport . ... Infrastructure Management (IM) is the management of essential operation components, such as policies, processes, equipment, data, human resources and external contacts.This paper, propose a methodology to manage the IT Infrastructure in a better way. In the ...Author: V.R.Elangovan and E.Ramaraj

Domain Driven Data Mining: Computer Science & IT Book ...

    https://www.igi-global.com/chapter/domain-driven-data-mining/7518
    On top of quantitative intelligence and hidden knowledge in data, domain-driven data mining aims to meta-synthesize quantitative intelligence and qualitative intelligence in mining complex applications in which human is in the loop. It targets actionable knowledge discovery in constrained environment for satisfying user preference.Cited by: 168



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