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SIU 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
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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 The semantic web / Giunchiglia, Fausto / Berlin : Springer - 2007
Title : The semantic web : 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007. Proceedings Material Type: printed text Authors: Giunchiglia, Fausto, Author ; Mizoguchi, Riichiro, Associated Name ; Shi, Zhongzhi, Associated Name Publisher: Berlin : Springer Publication Date: 2007 Series: Lecture notes in computer science, Pagination: xxvii, 973 p. Layout: ill., pbk. Size: 24 cm. Accompanying material: 2 CD-ROM. ISBN (or other code): 9783540762973 Price: 4386 Baht General note: With compliments of Dr. Chutiporn Anutariya Languages : English (eng) Descriptors: [LCSH]Databases
[LCSH]Ontology
[LCSH]Peer-to-peer architecture (Computer networks)
[LCSH]Reasoning
[LCSH]Semantic Web
[LCSH]Social networks
[LCSH]WWW (Information retrieval system)
[LCSH]XML (Document markup language)Curricular : BSCS/MSMT/PhDT Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=13495 The semantic web : 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007. Proceedings [printed text] / Giunchiglia, Fausto, Author ; Mizoguchi, Riichiro, Associated Name ; Shi, Zhongzhi, Associated Name . - , 2007 . - xxvii, 973 p. : ill., pbk. ; 24 cm. + 2 CD-ROM.. - (Lecture notes in computer science,) .
ISBN : 9783540762973 : 4386 Baht
With compliments of Dr. Chutiporn Anutariya
Languages : English (eng)
Descriptors: [LCSH]Databases
[LCSH]Ontology
[LCSH]Peer-to-peer architecture (Computer networks)
[LCSH]Reasoning
[LCSH]Semantic Web
[LCSH]Social networks
[LCSH]WWW (Information retrieval system)
[LCSH]XML (Document markup language)Curricular : BSCS/MSMT/PhDT Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=13495 Hold
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Barcode Call number Media type Location Section Status 32002000232452 TK5105.88815 S471 2007 Book Graduate Library General Shelf Available 32002000235224 TK5105.88815 S471 2007 c.1 CD Accompany Graduate Library Library Counter Available 32002000236222 TK5105.88815 S471 2007 c.2 CD Accompany Graduate Library Library Counter Available The semantic web - ASWC 2006 / Giunchiglia, Fausto / Berlin : Springer - 2006
Title : The semantic web - ASWC 2006 : First Asian Semantic Web Conference, Beijing, China, September 3-7, 2006 ; proceedings Material Type: printed text Authors: Giunchiglia, Fausto, Author ; Mizoguchi, Riichiro, Associated Name ; Shi, Zhongzhi, Associated Name Publisher: Berlin : Springer Publication Date: 2006 Series: Lecture notes in computer science, Pagination: xx, 777 p. Layout: ill., pbk. Size: 24 cm. ISBN (or other code): 9783540383291 Price: 4680 Baht General note: With compliments of Ms. Photchanan Ratanajaipan Languages : English (eng) Descriptors: [LCSH]Databases
[LCSH]Ontology
[LCSH]Peer-to-peer architecture (Computer networks)
[LCSH]Reasoning
[LCSH]Semantic Web
[LCSH]Social networks
[LCSH]WWW (Information retrieval system)
[LCSH]XML (Document markup language)Curricular : BSCS/MSMT/PhDT Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=11606 The semantic web - ASWC 2006 : First Asian Semantic Web Conference, Beijing, China, September 3-7, 2006 ; proceedings [printed text] / Giunchiglia, Fausto, Author ; Mizoguchi, Riichiro, Associated Name ; Shi, Zhongzhi, Associated Name . - , 2006 . - xx, 777 p. : ill., pbk. ; 24 cm.. - (Lecture notes in computer science,) .
ISBN : 9783540383291 : 4680 Baht
With compliments of Ms. Photchanan Ratanajaipan
Languages : English (eng)
Descriptors: [LCSH]Databases
[LCSH]Ontology
[LCSH]Peer-to-peer architecture (Computer networks)
[LCSH]Reasoning
[LCSH]Semantic Web
[LCSH]Social networks
[LCSH]WWW (Information retrieval system)
[LCSH]XML (Document markup language)Curricular : BSCS/MSMT/PhDT Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=11606 Hold
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Copies
Barcode Call number Media type Location Section Status 32002000194843 TK5105.88815 A832 2006 Book Main Library General Shelf Available