Logical characterization of groups of data: a comparative study-Reference-Cited by-同舟云学术

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Logical characterization of groups of data: a comparative study

Published:2017-11-06 Issue:8 Volume:48 Page:2284-2303
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Chambon Arthur^ORCID,Boureau Tristan,Lardeux Frédéric,Saubion Frédéric

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/article/10.1007/s10489-017-1080-3/fulltext.html

Reference22 articles.

1. Aggarwal CC, Reddy CK (2013) Data clustering: algorithms and applications. CRC Press, Boca Raton

2. Agrawal R, Imieliński T, Swami A (1993) Mining association rules between sets of items in large databases. In: Acm sigmod record, vol 22. ACM, pp 207–216

3. Alexe G, Alexe S, Axelrod D, Hammer PL, Weissmann D (2005) Logical analysis of diffuse large b-cell lymphomas. Artif Intell Med 34(3):235–267

4. Alexe G, Alexe S, Axelrod DE, Bonates TO, Lozina II, Reiss M, Hammer PL (2006) Breast cancer prognosis by combinatorial analysis of gene expression data. Breast Cancer Res 8(4):1–20

5. Alexe G, Alexe S, Bonates TO, Kogan A (2007) Logical analysis of data - the vision of Peter L. Hammer. Ann Math Artif Intell 49(1–4):265–312

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1. A computational model for logical analysis of data;International Journal of Data Science and Analytics;2023-12-13

2. MCP: Capturing Big Data by Satisfiability (Tool Description);Theory and Applications of Satisfiability Testing – SAT 2021;2021

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