01790nam 2200445 450 991070782010332120170104161046.0(CKB)5470000002468361(OCoLC)967671090(EXLCZ)99547000000246836120170104d2016 ua 0engurmn|||||||||rdacontentrdamediardacarrierThe Mattis way of war an examination of operational art in Task Force 58 and 1st Marine Division /Michael L. Valenti, Major, USMCFort Leavenworth, Kansas :US Army Command and General Staff College Press, an imprint of the Combat Studies Institute Press,2016.1 online resource (vii, 71 pages) illustrations (some color)Art of war papers"First printing September 2016."Originally presented as a thesis for the degree of Master of Military Art and Science, U.S. Army Command and General Staff College, 2014.Includes bibliographical references (pages 69-71).Mattis way of war Operational art (Military science)Case studiesCommand of troopsCase studiesIraq War, 2003-2011CampaignsCase studiesAfghan War, 2001-2021CampaignsCase studiesOperational art (Military science)Command of troopsIraq War, 2003-2011CampaignsAfghan War, 2001-2021CampaignsValenti Michael L.1389425U.S. Army Command and General Staff College Press,GPOGPOBOOK9910707820103321The Mattis way of war3440967UNINA03675nam 22006375 450 991029928750332120200714132411.0981-10-7763-010.1007/978-981-10-7763-0(CKB)4100000003359733(MiAaPQ)EBC5398100(DE-He213)978-981-10-7763-0(PPN)226694739(EXLCZ)99410000000335973320180424d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBig Digital Forensic Data Volume 1: Data Reduction Framework and Selective Imaging /by Darren Quick, Kim-Kwang Raymond Choo1st ed. 2018.Singapore :Springer Singapore :Imprint: Springer,2018.1 online resource (109 pages)SpringerBriefs on Cyber Security Systems and Networks,2522-5561981-10-7762-2 Chapter 1 Introduction -- Chapter 2 Background and Literature Review -- Chapter 3 Data Reduction and Data Mining Framework -- Chapter 4 Digital Forensic Data Reduction by Selective Imaging -- Chapter 5 Summary of the Framework and DRbSI.This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data mining principles to achieve faster analysis in digital forensic investigations. By collecting and assembling a corpus of test data from a range of devices in the real world, it outlines a process of big data reduction, and evidence and intelligence extraction methods. Further, it includes the experimental results on vast volumes of real digital forensic data. The book is a valuable resource for digital forensic practitioners, researchers in big data, cyber threat hunting and intelligence, data mining and other related areas.SpringerBriefs on Cyber Security Systems and Networks,2522-5561Computer securityApplication softwareForensic sciencesComputersLaw and legislationSystems and Data Securityhttps://scigraph.springernature.com/ontologies/product-market-codes/I28060Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Forensic Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/B23000Legal Aspects of Computinghttps://scigraph.springernature.com/ontologies/product-market-codes/I24059Computer Appl. in Social and Behavioral Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/I23028Computer security.Application software.Forensic sciences.Computers.Law and legislation.Systems and Data Security.Information Systems Applications (incl. Internet).Forensic Science.Legal Aspects of Computing.Computer Appl. in Social and Behavioral Sciences.363.25968Quick Darrenauthttp://id.loc.gov/vocabulary/relators/aut921507Choo Kim-Kwang Raymondauthttp://id.loc.gov/vocabulary/relators/autBOOK9910299287503321Big Digital Forensic Data2067156UNINA