Abstract
This paper presents a lattice metaphor for knowledge discovery in electronic mail. It allows a user to navigate email using a lattice rather than a tree structure. By using such a conceptual multi-hierarchy, the content and shape of the lattice can be varied to accommodate queries against the email collection. This paper presents the underlying mathematical structures, and a number of examples of the lattice and multi-hierarchy working with a prototypical email collection.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
R. Cole, P. Eklund: Scalability in Formal Concept Analysis: A Case Study using Medical Texts. Computational Intelligence, Vol. 15, No. 1, pp. 11–27, 1999.
R. Cole, P. Eklund: Analyzing an Email Collection using Formal Concept Analysis. Proc. of the European Conf. on Knowledge and Data Discovery, pp. 309–315, LNAI 1704, Springer, Prague, 1999.
R. Cole, P.W. Eklund, D. Walker: Using Conceptual Scaling in Formal Concept Analysis for Knowledge and Data Discovery in Medical Texts, Proceedings of the Second Pacific Asian Conference on Knowledge Discovery and Data Mining, pp. 378–379, World Scientific, 1998.
A. Fall: Dynamic taxonomical encoding using sparce terms. 4th Int. Conf. on Con-ceptual Structures. Lecture Notes in Artificial Intelligence1115, 1996
B. Ganter, R. Wille: Formal Concept Analysis: Mathematical Foundations. Springer, Heidelberg 1999 (Translation of: Formale Begriffsanalyse: Mathematische Grundlagen. Springer, Heidelberg 1996)
K. Jones: View Mail Users Manual. http://www.wonderworks.com/vm . 1999
T. Rock, R. Wille: Ein TOSCANA-System zur Literatursuche. In: G. Stumme and R. Wille (eds.): Begriffiche Wissensverarbeitung: Methoden und Anwendungen. Springer, Berlin-Heidelberg 2000
W. Schuller: http://gmail.linuxpower.org/. 1999
G. Stumme: Hierarchies of Conceptual Scales. Proc. Workshop on Knowledge Ac-quisition, Modeling and Management. Banff, 16–22. October 1999
F. Vogt, R. Wille: TOSCANA-A graphical tool for analyzing and exploring data. In: R. Tamassia, I. G. Tollis (eds.): Graph Drawing ’94, Lecture Notes in Computer Sciences 894, Springer, Heidelberg 1995, 226–233
R. Wille: Restructuring lattice theory: an approach based on hierarchies of con-cepts. In: I. Rival (ed.): Ordered sets. Reidel, Dordrecht-Boston 1982, 445–470
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cole, R., Eklund, P., Stumme, G. (2000). CEM - A Program for Visualization and Discovery in Email. In: Zighed, D.A., Komorowski, J., Żytkow, J. (eds) Principles of Data Mining and Knowledge Discovery. PKDD 2000. Lecture Notes in Computer Science(), vol 1910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45372-5_38
Download citation
DOI: https://doi.org/10.1007/3-540-45372-5_38
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41066-9
Online ISBN: 978-3-540-45372-7
eBook Packages: Springer Book Archive