Towards a Text-based Recommender System for Data Mining Method Selection

Zschech P, Heinrich K, Horn R, Hoeschele D (2019)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Publisher: Association for Information Systems

Conference Proceedings Title: Proceedings of the 25th Americas Conference on Information Systems

Event location: Cancún MX

URI: https://aisel.aisnet.org/amcis2019/ai_semantic_for_intelligent_info_systems/ai_semantic_for_intelligent_info_systems/4/

Abstract

The task of mapping a domain-specific problem space to an adequate set of data mining (DM) methods is a crucial step in data science projects. While there have been several efforts for automated method selection in general, only few approaches consider the particularities of problem contexts expressed in domain-specific language. Therefore, we propose the concept of a text-based recommender system (TBRS) which takes problem descriptions articulated in domain language as inputs and then recommends the best suitable class of DM methods. Following a design science research methodology, the current focus is on the initial steps of motivating the problem and conducting a requirements analysis. In particular, we outline the problem setting using an exemplary scenario from industrial practice and derive requirements towards an adequate solution artifact. Subsequently, we discuss potential TBRS methods with regard to requirement fulfillment while organizing both methods and requirements in a structured framework. Finally, we conclude the paper, discuss limitations and draw an outlook.

Authors with CRIS profile

Patrick Zschech

Additional Organisation(s)

Assistant Professorship for Intelligent Information Systems

Involved external institutions

Technische Universität Dresden DE Germany (DE)

How to cite

APA:

Zschech, P., Heinrich, K., Horn, R., & Hoeschele, D. (2019). Towards a Text-based Recommender System for Data Mining Method Selection. In Proceedings of the 25th Americas Conference on Information Systems. Cancún, MX: Association for Information Systems.

MLA:

Zschech, Patrick, et al. "Towards a Text-based Recommender System for Data Mining Method Selection." Proceedings of the 25th Americas Conference on Information Systems (AMCIS), Cancún Association for Information Systems, 2019.

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