First level text prediction using data mining and letter matching in IEEE 802.11 mobile devices

Hdl Handle:
http://hdl.handle.net/10149/253281
Title:
First level text prediction using data mining and letter matching in IEEE 802.11 mobile devices
Book Title:
Innovations and advances in computer sciences and engineering
Authors:
Issac, B. (Biju)
Editors:
Sobh, T. (Tarek)
Affiliation:
Swinburne University of Technology
Citation:
Issac, B. (2010) 'First level text prediction using data mining and letter matching in IEEE 802.11 mobile devices', Sobh, T. (ed.) Innovations and advances in computer sciences and engineering. Springer, pp. 319-324
Publisher:
Springer
Issue Date:
5-Feb-2010
URI:
http://hdl.handle.net/10149/253281
DOI:
10.1007/978-90-481-3658-2_55
Additional Links:
http://link.springer.com/chapter/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.
Type:
Book Chapter
Language:
en
Keywords:
telecommunications; data mining; predictive
ISBN:
9789048136575; 9789048136582

Full metadata record

DC FieldValue Language
dc.contributor.authorIssac, B. (Biju)en_GB
dc.contributor.editorSobh, T. (Tarek)en_GB
dc.date.accessioned2012-11-26T10:51:20Zen
dc.date.available2012-11-26T10:51:20Zen
dc.date.issued2010-02-05en
dc.identifier.isbn9789048136575en
dc.identifier.isbn9789048136582en
dc.identifier.doi10.1007/978-90-481-3658-2_55en
dc.identifier.urihttp://hdl.handle.net/10149/253281en
dc.description.abstractWhen 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.en_GB
dc.language.isoenen
dc.publisherSpringeren_GB
dc.relation.urlhttp://link.springer.com/chapter/10.1007/978-90-481-3658-2_55en_GB
dc.subjecttelecommunicationsen_GB
dc.subjectdata miningen_GB
dc.subjectpredictiveen_GB
dc.titleFirst level text prediction using data mining and letter matching in IEEE 802.11 mobile devicesen
dc.typeBook Chapteren
dc.contributor.departmentSwinburne University of Technologyen_GB
dc.title.bookInnovations and advances in computer sciences and engineeringen_GB
or.citation.harvardIssac, B. (2010) 'First level text prediction using data mining and letter matching in IEEE 802.11 mobile devices', Sobh, T. (ed.) Innovations and advances in computer sciences and engineering. Springer, pp. 319-324en_GB
prism.startingPage319en
prism.endingPage324en
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