LEADER 01426nam 2200337 n 450 001 996386894903316 005 20221108035112.0 035 $a(CKB)1000000000617622 035 $a(EEBO)2240881220 035 $a(UnM)99826273 035 $a(UnM)9927630400971 035 $a(EXLCZ)991000000000617622 100 $a19941205d1672 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aArticles of visitation & enquiry concerning matters ecclesiastical$b[electronic resource]$ein the primary Episcopal visitation of the right reverend father in God Nathanael by divine permission lord bishop of Oxford. In the second year of his consecration 210 $aLondon $cprinted for Nathanael Hooke, at the sign of the Kings-Armes in Little-Britain$dMDCLXXII [1672] 215 $a[2], 10; 24 p 300 $aThe second sequence contains 20 numbered articles. MS note in Bodleiancopy states these are: "Articles aggreed [sic] on by the Assembly of Divines. London". 300 $aReproduction of the original in the Bodleian Library. 330 $aeebo-0014 606 $aVisitations, Ecclesiastical$vEarly works to 1800 615 0$aVisitations, Ecclesiastical 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996386894903316 996 $aArticles of visitation & enquiry concerning matters ecclesiastical$92351912 997 $aUNISA LEADER 03978nam 22006015 450 001 996418193003316 005 20230418065217.0 010 $a3-030-61675-4 024 7 $a10.1007/978-3-030-61675-5 035 $a(CKB)4100000011631462 035 $a(DE-He213)978-3-030-61675-5 035 $a(MiAaPQ)EBC6420881 035 $a(PPN)252516427 035 $a(EXLCZ)994100000011631462 100 $a20201204d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning for Authorship Attribution and Cyber Forensics$b[electronic resource] /$fby Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (IX, 158 p. 38 illus., 28 illus. in color.) 225 1 $aInternational Series on Computer, Entertainment and Media Technology,$x2364-9488 311 $a3-030-61674-6 320 $aIncludes bibliographical references. 327 $a1. Cybersecurity And Cybercrime Investigation -- 2. Machine Learning Framework For Messaging Forensics -- 3. Header-Level Investigation And Analyzing Network Information -- 4. Authorship Analysis Approaches -- 5. Authorship Analysis - Writeprint Mining For Authorship Attribution -- 6. Authorship Attribution With Few Training Samples -- 7. Authorship Characterization -- 8. Authorship Verification -- 9. Authorship Attribution Using Customized Associative Classification -- 10. Criminal Information Mining -- 11. Artificial Intelligence And Digital Forensics. 330 $aThe book first explores the cybersecurity?s landscape and the inherent susceptibility of online communication system such as e-mail, chat conversation and social media in cybercrimes. Common sources and resources of digital crimes, their causes and effects together with the emerging threats for society are illustrated in this book. This book not only explores the growing needs of cybersecurity and digital forensics but also investigates relevant technologies and methods to meet the said needs. Knowledge discovery, machine learning and data analytics are explored for collecting cyber-intelligence and forensics evidence on cybercrimes. Online communication documents, which are the main source of cybercrimes are investigated from two perspectives: the crime and the criminal. AI and machine learning methods are applied to detect illegal and criminal activities such as bot distribution, drug trafficking and child pornography. Authorship analysis is applied to identify the potential suspects and their social linguistics characteristics. Deep learning together with frequent pattern mining and link mining techniques are applied to trace the potential collaborators of the identified criminals. Finally, the aim of the book is not only to investigate the crimes and identify the potential suspects but, as well, to collect solid and precise forensics evidence to prosecute the suspects in the court of law. . 410 0$aInternational Series on Computer, Entertainment and Media Technology,$x2364-9488 606 $aData mining 606 $aMachine learning 606 $aComputer crimes 606 $aData Mining and Knowledge Discovery 606 $aMachine Learning 606 $aCybercrime 615 0$aData mining. 615 0$aMachine learning. 615 0$aComputer crimes. 615 14$aData Mining and Knowledge Discovery. 615 24$aMachine Learning. 615 24$aCybercrime. 676 $a363.25028563 700 $aIqbal$b Farkhund$01065698 702 $aDebbabi$b Mourad 702 $aFung$b Benjamin C. M. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996418193003316 996 $aMachine learning for authorship attribution and cyber forensics$92547561 997 $aUNISA