Plano framework for graph indexing - A statistical analysis

Title

Plano framework for graph indexing - A statistical analysis

Creator

Pankaj Moses Monickaraj A.; Raj Kumar J.B.; Vivekanandan K.; Boopalan E.D.

Description

Graph Mining is becoming one of the most dominant fields of research. There are plenty methods to index, re-index and to search the features throughout the index but still from the literature study there is no specific frame work which can sum up all three so that indexing and updating the index with new feature can be done in consistent intervals according to the arrival of new features. PLANO is the frame work which has the latest algorithms to look into the data and index. In this paper, Time and Memory efficiency of the proposed algorithms in the PLANO framework is tested statistically and compared with the existing algorithms memory and time usage. Research India Publications.

Source

International Journal of Applied Engineering Research, Vol-10, No. 12, pp. 31613-31628.

Date

2015-01-01

Publisher

Research India Publications

Subject

Graph; Graph indexing; Graph mining

Coverage

Pankaj Moses Monickaraj A., Dept. of Computer Science and Engg, Christ University, India; Raj Kumar J.B., Dept. of Computer Science and Engg, Bharathiar University, India; Vivekanandan K., BSMED, Bharathiar University, India; Boopalan E.D., Dept. of Statistics, Bharathiar University, India

Rights

Restricted Access

Relation

ISSN: 9734562

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937927012&partnerID=40&md5=4b633e5efad5404db3e897d671fee603