Приказ основних података о документу

dc.creatorMarinković, Darko
dc.creatorCivelek, T.
dc.date.accessioned2019-03-21T16:10:56Z
dc.date.available2019-03-21T16:10:56Z
dc.date.issued2017
dc.identifier.urihttp://jakov.kpu.edu.rs/handle/123456789/801
dc.description.abstractCollecting the most versatile information about individuals and their storing in different databases represent the reality of the contemporary society. The growth in the quantity of information has exceeded man’s power to process and analyze them in a traditional manner, making computerized techniques and means, especially data mining techniques, a necessity for these purposes. Although widely applied in the public administration and economy domain, computerized data search and comparison so far have not reached their full potential in the area of crime investigation and forensics. Law enforcement agencies and forensic laboratories collect large quantities of various data originating not only from a person’s criminal activities, but his/her social activities as well (i.e., blogs, social media, etc.). The very success of a crime investigation depends to a large extent on the availability of relevant data (referring to persons, objects or events) and finding often hidden relationship among them. Web space, especially social media, is invaluable source of data and often the first place crime investigators refer to in order to obtain relevant information.en
dc.rightsrestrictedAccess
dc.sourceKnowledge Discovery in Cyberspace: Statistical Analysis and Predictive Modeling
dc.subjectCrime investigationen
dc.subjectCyber spaceen
dc.subjectData analysisen
dc.subjectData miningen
dc.subjectData surveillanceen
dc.titleComputer-based data analysis techniques: The potential application to crime investigation in cyber spaceen
dc.typebookPart
dc.rights.licenseARR
dcterms.abstractМаринковић, Дарко; Цивелек, Т.;
dc.citation.spage1
dc.citation.epage18
dc.citation.other: 1-18
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_jakov_801
dc.identifier.scopus2-s2.0-85029929423
dc.type.versionpublishedVersion


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