From this page you can:
| Home |
Search results
4 result(s) search for keyword(s) 'Information retrieval' 
Add the result to your basket Refine your search Apply to external sources Make a suggestionSIU Thesis. A support vector machine approach to automatic email / Anmed, Mohamed Hussein / Bangkok : Shinawatra University - 2014
Collection Title: SIU Thesis Title : A support vector machine approach to automatic email : multiclass classification Material Type: printed text Authors: Anmed, Mohamed Hussein, Author Publisher: Bangkok : Shinawatra University Publication Date: 2014 Pagination: vii, 43 p. Size: 30 cm. Price: Gift. General note: Thesis. [M.S. [Information Technology]]. - Shinawatra University, 2014. Languages : English (eng) Descriptors: [LCSH]Electronic mail messages
[LCSH]Electronic mail systems
[LCSH]Electronic mail systems -- management
[LCSH]Information retrieval
[LCSH]Information Storage and Retrieval
[LCSH]Machine learning
[LCSH]WWW (Information retrieval system)Keywords: Information retrieval.
Electronic mail system.
Machine learning.Class number: SIU THE: SOIT-MSIT-2014-01 Abstract: E-mail is a method of communication by sending and receiving digital messages among senders and recipients. Emails play a significant role in almost everyones’ daily activities. Typically users receive 20 to 30 or more messages per day and as the number of emails increase, users could unavoidably face an information overload which induces negative effects on the way users manage and organize their emails. Although, there are number of tools available for manual email management which focus on filtering messages by keyword, sender, etc., many of them are not very effective and troublesome to setup for novice users. This study focuses on email classification through grouping of messages based on their subjects and contents. The classification algorithms: the Supported Vector Machines (SVM) and Naïve Bayesian (NB) with kernel machines are studies and investigated. The study results reveal that SVM has a better performance than NB in both accuracy level and total computational time. Curricular : MSIT Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=24134 SIU Thesis. A support vector machine approach to automatic email : multiclass classification [printed text] / Anmed, Mohamed Hussein, Author . - Bangkok : Shinawatra University, 2014 . - vii, 43 p. ; 30 cm.
Gift.
Thesis. [M.S. [Information Technology]]. - Shinawatra University, 2014.
Languages : English (eng)
Descriptors: [LCSH]Electronic mail messages
[LCSH]Electronic mail systems
[LCSH]Electronic mail systems -- management
[LCSH]Information retrieval
[LCSH]Information Storage and Retrieval
[LCSH]Machine learning
[LCSH]WWW (Information retrieval system)Keywords: Information retrieval.
Electronic mail system.
Machine learning.Class number: SIU THE: SOIT-MSIT-2014-01 Abstract: E-mail is a method of communication by sending and receiving digital messages among senders and recipients. Emails play a significant role in almost everyones’ daily activities. Typically users receive 20 to 30 or more messages per day and as the number of emails increase, users could unavoidably face an information overload which induces negative effects on the way users manage and organize their emails. Although, there are number of tools available for manual email management which focus on filtering messages by keyword, sender, etc., many of them are not very effective and troublesome to setup for novice users. This study focuses on email classification through grouping of messages based on their subjects and contents. The classification algorithms: the Supported Vector Machines (SVM) and Naïve Bayesian (NB) with kernel machines are studies and investigated. The study results reveal that SVM has a better performance than NB in both accuracy level and total computational time. Curricular : MSIT Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=24134 Hold
Place a hold on this item
Copies
Barcode Call number Media type Location Section Status 32002000399624 SIU THE: SOIT-MSIT-2014-01 SIU Thesis and Dissertation Graduate Library Thesis Corner Available 32002000580496 SIU THE: SOIT-MSIT-2014-01 c.2 SIU Thesis and Dissertation Graduate Library Thesis Corner Available
Title : Readings in information retrieval Material Type: printed text Authors: Sparck Jones Karen ; Willett Peter Publisher: Morgan Kaufman Publication Date: 1997 Series: Morgan Kaufmann series in multimedia information and systems Pagination: xv, 589 p. Layout: ill. Size: 28 cm ISBN (or other code): 978-1-558-60454-4 Price: 1000.00 Languages : English (eng) Descriptors: [LCSH]Information retrieval
[LCSH]Information storage and retrieval systemsKeywords: Information retrieval Class number: Z695.9 Abstract: Curricular : BALA/BBA/BNS/BSCS/GE/MBA Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=21393 Readings in information retrieval [printed text] / Sparck Jones Karen ; Willett Peter . - Morgan Kaufman, 1997 . - xv, 589 p. : ill. ; 28 cm. - (Morgan Kaufmann series in multimedia information and systems) .
ISBN : 978-1-558-60454-4 : 1000.00
Languages : English (eng)
Descriptors: [LCSH]Information retrieval
[LCSH]Information storage and retrieval systemsKeywords: Information retrieval Class number: Z695.9 Abstract: Curricular : BALA/BBA/BNS/BSCS/GE/MBA Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=21393 Hold
Place a hold on this item
Copies
Barcode Call number Media type Location Section Status 32002000334654 Z695.9 R43 1997 Book Main Library General Shelf Available
Collection Title: SIU IS Title : English – Thai Automated Term Translation Extraction using Web Mining Material Type: printed text Authors: Sarunphat Pisutvimol, Author ; Krissada Maleewong, Associated Name ; Aekavute Sujarae, Associated Name Publisher: Bangkok: Shinawatra University Publication Date: 2017 Pagination: vi, 18 p. Layout: ill, tables Size: 30 cm. Price: 500.00 General note: SIU IS: SOST-MSIT-2017-02
Independent Study. [MS[Information Technology]]. -- Shinawatra University, 2017Languages : English (eng) Descriptors: [LCSH]Information retrieval
[LCSH]Technology
[LCSH]TranslationsKeywords: Query Translation,
Cross-Language Information Retrieval,
OOV ProblemAbstract: There has been significant improvement in Cross-Language Information Retrieval in the past year. Great advance in technology allows for more technique to be used to improve existing information retrieval techniques, as well as inventing a new one. The progress, however, is still limited by the presence of out-of-vocabulary (OOV) terms. Especially in Thai language, foreign OOV terms are handle using transliteration based on different approach.
This study applies one of a technique previously done in English – Chinese OOV term translation in order to determine its usability on English – Thai language pair. The technique implements the uses of statistical analysis and corpus-based translation disambiguation to dynamically discover translations of OOV terms. The result shows an unsatisfied result for a few particular reasons.Curricular : BSCS/MSIT Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=27305 SIU IS. English – Thai Automated Term Translation Extraction using Web Mining [printed text] / Sarunphat Pisutvimol, Author ; Krissada Maleewong, Associated Name ; Aekavute Sujarae, Associated Name . - [S.l.] : Bangkok: Shinawatra University, 2017 . - vi, 18 p. : ill, tables ; 30 cm.
500.00
SIU IS: SOST-MSIT-2017-02
Independent Study. [MS[Information Technology]]. -- Shinawatra University, 2017
Languages : English (eng)
Descriptors: [LCSH]Information retrieval
[LCSH]Technology
[LCSH]TranslationsKeywords: Query Translation,
Cross-Language Information Retrieval,
OOV ProblemAbstract: There has been significant improvement in Cross-Language Information Retrieval in the past year. Great advance in technology allows for more technique to be used to improve existing information retrieval techniques, as well as inventing a new one. The progress, however, is still limited by the presence of out-of-vocabulary (OOV) terms. Especially in Thai language, foreign OOV terms are handle using transliteration based on different approach.
This study applies one of a technique previously done in English – Chinese OOV term translation in order to determine its usability on English – Thai language pair. The technique implements the uses of statistical analysis and corpus-based translation disambiguation to dynamically discover translations of OOV terms. The result shows an unsatisfied result for a few particular reasons.Curricular : BSCS/MSIT Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=27305 Hold
Place a hold on this item
Copies
Barcode Call number Media type Location Section Status 32002000595189 SIU IS: SOST-MSIT-2017-02 c.1 SIU Independent Study Graduate Library Thesis Corner Available 32002000595171 SIU IS: SOST-MSIT-2017-02 c.2 SIU Independent Study Graduate Library Thesis Corner Available
Title : Web information systems engineering : WISE 2010 : 10th international conference, Hong Kong, China, December 12-14, 2010 : proceedings Material Type: printed text Publisher: Berlin : Springer Publication Date: 2010 Series: Lecture notes in computer science No. 6488 Pagination: xv, 641 p. Layout: ill. Size: 24 cm ISBN (or other code): 9783642176159 Languages : English (eng) Keywords: Systems engineering Information storage and retrieval systems Web databases Semantic WebDvCongresses World Wide Web Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=18784 Web information systems engineering : WISE 2010 : 10th international conference, Hong Kong, China, December 12-14, 2010 : proceedings [printed text] . - Springer, 2010 . - xv, 641 p. : ill. ; 24 cm. - (Lecture notes in computer science; 6488) .
ISBN : 9783642176159
Languages : English (eng)Hold
Place a hold on this item
Copies
Barcode Call number Media type Location Section Status 32002000340115 TA168 I613 2010 Book Graduate Library General Shelf Available
