ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Prototype Selection on Large and Streaming Data

Meena, Lakhpat and Devi, Susheela V (2015) Prototype Selection on Large and Streaming Data. In: 22nd International Conference on Neural Information Processing (ICONIP), NOV 09-12, 2015, Istanbul, TURKEY, pp. 671-679.

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.1007/978-3-319-26532-2_74


Since streaming data keeps coming continuously as an ordered sequence, massive amounts of data is created. A big challenge in handling data streams is the limitation of time and space. Prototype selection on streaming data requires the prototypes to be updated in an incremental manner as new data comes in. We propose an incremental algorithm for prototype selection. This algorithm can also be used to handle very large datasets. Results have been presented on a number of large datasets and our method is compared to an existing algorithm for streaming data. Our algorithm saves time and the prototypes selected gives good classification accuracy.

Item Type: Conference Proceedings
Series.: Lecture Notes in Computer Science
Additional Information: Copy right for this article belongs to the SPRINGER INT PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
Keywords: Prototype selection; One-pass algorithm; Streaming data
Department/Centre: Division of Biological Sciences > Microbiology & Cell Biology
Date Deposited: 28 Apr 2016 05:03
Last Modified: 28 Apr 2016 05:03
URI: http://eprints.iisc.ac.in/id/eprint/53639

Actions (login required)

View Item View Item