PROLOG-Based Decision Support for Data Analysis in Marketing-Reference-Cited by-同舟云学术

PROLOG-Based Decision Support for Data Analysis in Marketing

Published:1988 Issue: Volume: Page:19-34
ISSN:
Container-title:Data, Expert Knowledge and Decisions
language:
Short-container-title:

Author:

Böckenholt I.,Both M.,Gaul W.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-73489-2_3.pdf

Reference33 articles.

1. Böckenholt I (1986) Graphical Representation of Categorical Proximities: A Maximum Likelihood Method, in: Gaul W, Schader M (eds.) Classification as a Tool of Research. North-Holland, Amsterdam, 27–34

2. Böckenholt I, Gaul W (1986) Analysis of Choice Behavior via Probabilistic Ideal Point and Vector Models. Applied Stochastic Models and Data Analysis 2: 209–226

3. Both M, Gaul W, (1987) Ein Vergleich zweimodaler Clusteranalyseverfahren. Methods of Operations Research 57, 594–605

4. Chambers JM (1984) Some Thoughts on Expert Software, Proceedings of the 13th Symposium on the Interface of Computer Science and Statistics. Springer, Berlin, Heidelberg, New York, pp 36–40

5. Espejo E, Gaul W (1986) Two-Mode Hierarchical Clustering as an Instrument for Marketing Research, in: Gaul W, Schader M (eds.) Classification as a Tool of Research. North Holland, Amsterdam, New York, Oxford, Tokyo, pp 121–128

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effective Selection of Entities From Heterogeneous and Large Resources Using a Cooperative Neuro-Fuzzy System;International Journal of System Dynamics Applications;2022-09-02

2. Comparing proposals for the solution of data analysis problems in a knowledge-based system;Annals of Operations Research;1994-09

3. Product Positioning Based on Knowledge-Oriented Support: A Logical Framework;Mathematical Modelling in Economics;1993

4. Knowledge Representation in a System for Marketing Research;Studies in Classification, Data Analysis, and Knowledge Organization;1992

5. Application-Interfaces for AI-Environments in Example of the WIMDAS-Project;Operations Research Proceedings 1991;1992