First Level Text Prediction using Data Mining and Letter Matching in IEEE 802.11 Mobile Devices

Issac, Biju (2010) First Level Text Prediction using Data Mining and Letter Matching in IEEE 802.11 Mobile Devices. In: Innovations and Advances in Computer Sciences and Engineering. Springer, pp. 319-324. ISBN 9789048136575

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1007/978-90-481-3658-2_55

Abstract

When a user uses an 802.11 wireless mobile device like a Personal Digital Assistant (PDA) to type in a message, typing every word fully can be quite tedious. This paper investigates into a first level text prediction scheme through data mining and letter matching which could help the user with writing messages using predictive approach, to be used for short message service text or for email text. The performance results of simulation show that the results are quite encouraging and the accuracy of first level text prediction is above 80% for a huge sample, where a given word is mapped to a subset of possible next words, in fixed and flexible scenarios. Though the prediction is tried with English language, it can be applied to other similar languages.

Item Type: Book Section
Subjects: G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 04 Jan 2019 14:59
Last Modified: 04 Jan 2019 14:59
URI: http://nrl.northumbria.ac.uk/id/eprint/37466

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence