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………………43 參考文獻.......................................................................................................... 44致謝…………………………………………………………………………46主要參考文獻:[1]Jon Postel,On the Junk Mail Problem,RFC 706,Nov 1975。[2]中國教育和科研網(wǎng)垃圾郵件處理小組,垃圾郵件的文化與歷史,H://.。[3]中國互聯(lián)網(wǎng)協(xié)會反垃圾郵件中心,《2005第三次中國反垃圾郵件狀況調(diào)查報告》,2005。[4]中國互聯(lián)網(wǎng)協(xié)會,中國互聯(lián)網(wǎng)協(xié)會互聯(lián)網(wǎng)公共電子郵件服務規(guī)范, 。[5]曹麒麟、張千里,垃圾郵件與反垃圾郵件技術,人民郵電出版社,2003。[6]趙英、黃九梅,計算機工程與應用,2003。[7]中國互聯(lián)網(wǎng)絡信息中心[R]。第22次中國互聯(lián)網(wǎng)絡發(fā)展狀況統(tǒng)計報告,2008。[8]The Chinese AntiSpam Alliance, 。[9]中國互聯(lián)網(wǎng)協(xié)會,中國互聯(lián)網(wǎng)協(xié)會互聯(lián)網(wǎng)公共電子郵件服務規(guī)范, 。[10]。[11]Jonathan , Simple Mail Transfer Protocol,RFC821,Aug 1982。[12]Myers Office Protocolversion 3。RFC1725,Dover Bench Consulting,Inc,1994,1。[13]Crocker D., Standard for the Format of ARPA Internet Text Messages, RFC 822, Department of Electrical Engineering, University of Delaware, August 1982。[14]Borenstein N,N Freed, MIME(Multipurpose Internet Mail Extensions)Part one: mechanisms for specifying and describing the format of internet message bodies. RFC1521,Bellcore, Innosof, 。[15]SMTP結(jié)構及原理,[16] and ,Beyond Independence:Conditions for theOptimality of the Simple Bayesian Classifier,In:Proc of the13th International Conference on Machine Learning,,Bari,Italy,1996。[17]潘文峰,基于內(nèi)容的垃圾郵件過濾研究,中國科學院計算技術研究所,2004。[18]Netloafer,客戶端反垃圾郵件技術,中國反垃圾郵件聯(lián)盟。[19]Tanenbaum A S. Computer[M],清華大學出版社,2005。[20]房子敬,杜絕垃圾郵件,網(wǎng)絡安全技術與應用,2004。[21]江河,對抗垃圾郵件[J],網(wǎng)管員世界,2005。[22]陳華輝、薛春陽,一種基于貝葉斯網(wǎng)的垃圾郵件過濾器[J],微機發(fā)展,2004。[23]王新梅,基于內(nèi)容挖掘的垃圾郵件過濾技術,2006。[24]邊肇祺、張學工,模式識別(第2版),2000。[25]Andrew McCallum,Kamat Comparison of Event Model for Na?ve Bayes TextClassification.,1998。[26],Learning to FilterUnsolicited Commercial report 2004,2,NCSR“Demokritos”,2004。[27]鄒建峰、李律松、李曉栓,人民郵電出版社,2004,12。[28] Mellers B A,McGraw A to improve Bayesianreasoning:A ment onGigerenzer and Hofrage(1995).Psychological Review,1999,106(2):417424[29] Eddy reasoning in clinic medicine:Problemsand :Kahneman D,Slovic P,Tverskey uncertainty:Heuristics and biases.Cambridge UniversityPress,[30] Kahneman D,Tversky probability:A judgementof representativeness.Cognitive Psychology,1972,3:430454[31] Kahneman D,Slovic P,Tversky under uncertainty:Heuristics and biases.Cambridge,England:Cambridge UniversityPress,198