Application of Naive Bayesian Algorithms in E-mail Classification
In the context of the rapid development of today's society, high-tech information technology such as machine learning has played a very important role in promoting social, economic and technological development in all countries of the world. Bayesian classification algorithm is an important alg...
Uloženo v:
| Vydáno v: | Chinese Automation Congress (Online) s. 3933 - 3938 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
01.11.2019
|
| Témata: | |
| ISSN: | 2688-0938 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | In the context of the rapid development of today's society, high-tech information technology such as machine learning has played a very important role in promoting social, economic and technological development in all countries of the world. Bayesian classification algorithm is an important algorithm in the field of machine learning and data mining. Naive Bayesian algorithm is a basic and simple classification algorithm in Bayesian classification algorithm. The naive Bayesian algorithm has the advantages of high stability, simplicity, high efficiency and strong theoretical foundation. The classification quality of the naive Bayesian algorithm much depends on the choice of construction methods and the nature and quantity of the classification data. In fact, many problems in our life can be attributed to classification problems, such as risk prediction, medical diagnosis, e-mail classification, fraud detection, etc. [1]. Here, I will mainly explain the principle of naive Bayesian algorithm, classification process, the evaluation of classification results, and apply this algorithm to e-mail classification tasks. At the same time, I list some related examples. Finally, I will summarize the naive Bayesian algorithm. |
|---|---|
| AbstractList | In the context of the rapid development of today's society, high-tech information technology such as machine learning has played a very important role in promoting social, economic and technological development in all countries of the world. Bayesian classification algorithm is an important algorithm in the field of machine learning and data mining. Naive Bayesian algorithm is a basic and simple classification algorithm in Bayesian classification algorithm. The naive Bayesian algorithm has the advantages of high stability, simplicity, high efficiency and strong theoretical foundation. The classification quality of the naive Bayesian algorithm much depends on the choice of construction methods and the nature and quantity of the classification data. In fact, many problems in our life can be attributed to classification problems, such as risk prediction, medical diagnosis, e-mail classification, fraud detection, etc. [1]. Here, I will mainly explain the principle of naive Bayesian algorithm, classification process, the evaluation of classification results, and apply this algorithm to e-mail classification tasks. At the same time, I list some related examples. Finally, I will summarize the naive Bayesian algorithm. |
| Author | Wang, Xiang-dong Zhang, Cai-xia Chen, Rui Guo, Jing |
| Author_xml | – sequence: 1 givenname: Rui surname: Chen fullname: Chen, Rui organization: Foshan University,College of Automation,Foshan,China – sequence: 2 givenname: Cai-xia surname: Zhang fullname: Zhang, Cai-xia organization: Foshan University,College of Automation,Foshan,China – sequence: 3 givenname: Jing surname: Guo fullname: Guo, Jing organization: Foshan University,College of Automation,Foshan,China – sequence: 4 givenname: Xiang-dong surname: Wang fullname: Wang, Xiang-dong organization: Foshan University,College of Mathematics and Big Data,Foshan,China |
| BookMark | eNotj8tKAzEUQKMo2NZ-gQj5gRlvbjJ5LMehVaHoRtflTibRyLxoitC_V7CrszoHzpJdjdMYGLsXUAoB7qGpG2W1lCWCcKV1zmAlLthSGLRCgVPyki1QW1uAk_aGrXP-BgCUQlUKFqyu57lPno5pGvkU-Suln8Af6RRyopHX_ed0SMevIfM08k0xUOp501POKZ6tW3Ydqc9hfeaKfWw3781zsXt7emnqXZEQ5LEITnkbjVOGfIW-xTZq1RkbtaHOtNF0qH2sADrvSWPboled-HM0OkHCyBW7---mEMJ-PqSBDqf9-Vj-Ar_BTKA |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/CAC48633.2019.8997251 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE/IET Electronic Library url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 1728140943 9781728140940 |
| EISSN | 2688-0938 |
| EndPage | 3938 |
| ExternalDocumentID | 8997251 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IF 6IL 6IN AAWTH ABLEC ADZIZ ALMA_UNASSIGNED_HOLDINGS BEFXN BFFAM BGNUA BKEBE BPEOZ CBEJK CHZPO IEGSK OCL RIE RIL |
| ID | FETCH-LOGICAL-i203t-e94c8f7947ac52cb2bf64d78f67ad7bf7d26cf500dcca62bb2c4d14c86291a173 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 1 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000679040103181&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| IngestDate | Wed Aug 27 06:20:21 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i203t-e94c8f7947ac52cb2bf64d78f67ad7bf7d26cf500dcca62bb2c4d14c86291a173 |
| PageCount | 6 |
| ParticipantIDs | ieee_primary_8997251 |
| PublicationCentury | 2000 |
| PublicationDate | 2019-Nov. |
| PublicationDateYYYYMMDD | 2019-11-01 |
| PublicationDate_xml | – month: 11 year: 2019 text: 2019-Nov. |
| PublicationDecade | 2010 |
| PublicationTitle | Chinese Automation Congress (Online) |
| PublicationTitleAbbrev | CAC |
| PublicationYear | 2019 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| SSID | ssj0002314540 |
| Score | 1.7106296 |
| Snippet | In the context of the rapid development of today's society, high-tech information technology such as machine learning has played a very important role in... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 3933 |
| SubjectTerms | Bayes methods data mining Data models Dictionaries email classification Hidden Markov models Machine learning Monitoring naive Bayesian algorithm Postal services Smart cities text classification |
| Title | Application of Naive Bayesian Algorithms in E-mail Classification |
| URI | https://ieeexplore.ieee.org/document/8997251 |
| WOSCitedRecordID | wos000679040103181&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LSwMxEA61ePCk0opvcvBo7OaxSfa4lhZPpQeF3kqeutDuSh-C_94kW1oEL95CYBKSyWNmMl8-AB4YVsGv8B4Jyg1iBnMU1OwR9ZnWhdPCaJbIJsRkImezYtoBj3ssjHMuJZ-5p1hMb_m2MdsYKhvIiPKMeOkjIXiL1drHU4KdEj-T24F0cFYMhuWQSU5pzN8KC6KV_UWiku6Q8en_ej8D_QMYD07318w56Li6B8ry8PAMGw8nKpxa8Fl9uwiKhOXivQle_8dyDasajtBSVQuY-C9jZlCS6oO38eh1-IJ2bAioIhndIFcwI33YPkKZnBhNtOfMCum5UFZoLyzhxudZZoNSONGaGGZxkOGkwAoLegG6dVO7SwA90Y46E6w1G6whVshcYu-CijwNrefuCvTi8Oef7YcX893Ir_-uvgEncYZbgN4t6G5WW3cHjs3Xplqv7pOWfgDNTZO5 |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LSwMxEA6lCnpSacW3OXg0djfJJrvHtbRUrEsPFXoreepCu1v6EPz3JrulRfDiLQQmIZk8Zibz5QPggYbC-RXWIk6YQlSFDDk1W0RsIGViJFeSVmQTPMviySQZNcDjDgtjjKmSz8yTL1Zv-bpUGx8q68Qe5enx0gcRpTio0Vq7iIqzVPx3cluYThgknW7apTEjxGdwuSVRS_-iUalukf7J__o_Be09HA-OdhfNGWiYogXSdP_0DEsLM-HOLfgsvo2HRcJ09lE6v_9zvoJ5AXtoLvIZrBgwfW5QJdUG7_3euDtAWz4ElOOArJFJqIqt20BcqAgriaVlVPPYMi40l5ZrzJSNgkA7tTAsJVZUh06G4SQUISfnoFmUhbkA0GJpiFHOXtPOHqJJHMWhNU5JlrjWI3MJWn7400X95cV0O_Krv6vvwdFg_DacDl-y12tw7Ge7huvdgOZ6uTG34FB9rfPV8q7S2A-uW5cA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=proceeding&rft.title=Chinese+Automation+Congress+%28Online%29&rft.atitle=Application+of+Naive+Bayesian+Algorithms+in+E-mail+Classification&rft.au=Chen%2C+Rui&rft.au=Zhang%2C+Cai-xia&rft.au=Guo%2C+Jing&rft.au=Wang%2C+Xiang-dong&rft.date=2019-11-01&rft.pub=IEEE&rft.eissn=2688-0938&rft.spage=3933&rft.epage=3938&rft_id=info:doi/10.1109%2FCAC48633.2019.8997251&rft.externalDocID=8997251 |