A biologically intelligent encoding approach to a hierarchical classification of relational elements in a digraph

Ikno Kim; Junzo Watada

doi:10.1007/978-3-642-04592-9_22

A biologically intelligent encoding approach to a hierarchical classification of relational elements in a digraph

Ikno Kim^*, Junzo Watada

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Parallel processing functions using molecules have advantages to be exploited for classifying the given relational elements in a digraph. For instance, hierarchical structural modelling is used for classifying complicated objects into a hierarchical structure. In this paper, we consider the example of a digraph of hierarchical structural modelling that can be transformed to sequences of molecules, and propose a biologically intelligent method of encoding molecular sequences of different types, through the hierarchical classification of hierarchical structural modelling. Moreover, we show that this innovative biologically intelligent encoding method can be applied, not only to hierarchical structural modelling, but also to other relational problems composed of elements from digraphs.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	174-180
Number of pages	7
Volume	5712 LNAI
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-04592-9_22
Publication status	Published - 2009
Event	13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009 - Santiago Duration: 2009 Sept 28 → 2009 Sept 30

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5712 LNAI
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009
City	Santiago
Period	09/9/28 → 09/9/30

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-642-04592-9_22

Cite this

Kim, I., & Watada, J. (2009). A biologically intelligent encoding approach to a hierarchical classification of relational elements in a digraph. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 5712 LNAI, pp. 174-180). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5712 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-04592-9_22

A biologically intelligent encoding approach to a hierarchical classification of relational elements in a digraph. / Kim, Ikno; Watada, Junzo.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5712 LNAI PART 2. ed. 2009. p. 174-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5712 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, I & Watada, J 2009, A biologically intelligent encoding approach to a hierarchical classification of relational elements in a digraph. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 5712 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5712 LNAI, pp. 174-180, 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009, Santiago, 09/9/28. https://doi.org/10.1007/978-3-642-04592-9_22

Kim I, Watada J. A biologically intelligent encoding approach to a hierarchical classification of relational elements in a digraph. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 5712 LNAI. 2009. p. 174-180. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-04592-9_22

Kim, Ikno ; Watada, Junzo. / A biologically intelligent encoding approach to a hierarchical classification of relational elements in a digraph. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5712 LNAI PART 2. ed. 2009. pp. 174-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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A biologically intelligent encoding approach to a hierarchical classification of relational elements in a digraph

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