02004oam 2200505 450 991070746000332120160819114914.0(CKB)5470000002464927(OCoLC)956952800(EXLCZ)99547000000246492720160818d2016 ua 0engurbn||||a||||txtrdacontentcrdamediacrrdacarrierPredictive modeling combining short and long term crime risk potential final report /Jerry H. Ratcliffe, Ralph B. Taylor, and Amber PerenzinPhiladelphia, Pa. :Temple University, Center for Security and Crime Science,[2016][Washington, D.C.] :[National Institute of Justice, distributor]1 online resource (various pagings) illustrationsTitle from title screen (viewed on Aug. 18, 2016)."June 2016."Includes bibliographical references.Predictive modeling combining short and longterm crime risk potential Crime forecastingUnited StatesMathematical modelsCriminal behavior, Prediction ofMathematical modelsCrime analysisRisk assessmentMathematical modelsCrime forecastingMathematical models.Criminal behavior, Prediction ofMathematical models.Crime analysis.Risk assessmentMathematical models.Ratcliffe Jerry1340054Taylor Ralph B.Perenzin AmberTemple University.Department of Criminal Justice.Center for Security and Crime Science,National Institute of Justice (U.S.),GPOGPOOCLCAGPOBOOK9910707460003321Predictive modeling combining short and long term crime risk potential3538615UNINA04222nam 22006015 450 991014946170332120200705231405.010.1007/978-3-319-47340-6(CKB)3710000000928187(DE-He213)978-3-319-47340-6(MiAaPQ)EBC4731364(PPN)197139663(EXLCZ)99371000000092818720161101d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierTraffic Measurement for Big Network Data /by Shigang Chen, Min Chen, Qingjun Xiao1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (VII, 104 p. 45 illus., 2 illus. in color.) Wireless Networks,2366-11863-319-47339-5 3-319-47340-9 Includes bibliographical references at the end of each chapters.Introduction -- Per-Flow Size Measurement -- Per-Flow Cardinality Measurement -- Persistent Spread Measurement.This book presents several compact and fast methods for online traffic measurement of big network data. It describes challenges of online traffic measurement, discusses the state of the field, and provides an overview of the potential solutions to major problems. The authors introduce the problem of per-flow size measurement for big network data and present a fast and scalable counter architecture, called Counter Tree, which leverages a two-dimensional counter sharing scheme to achieve far better memory efficiency and significantly extend estimation range. Unlike traditional approaches to cardinality estimation problems that allocate a separated data structure (called estimator) for each flow, this book takes a different design path by viewing all the flows together as a whole: each flow is allocated with a virtual estimator, and these virtual estimators share a common memory space. A framework of virtual estimators is designed to apply the idea of sharing to an array of cardinality estimation solutions, achieving far better memory efficiency than the best existing work. To conclude, the authors discuss persistent spread estimation in high-speed networks. They offer a compact data structure called multi-virtual bitmap, which can estimate the cardinality of the intersection of an arbitrary number of sets. Using multi-virtual bitmaps, an implementation that can deliver high estimation accuracy under a very tight memory space is presented. The results of these experiments will surprise both professionals in the field and advanced-level students interested in the topic. By providing both an overview and the results of specific experiments, this book is useful for those new to online traffic measurement and experts on the topic.Wireless Networks,2366-1186Electrical engineeringComputer communication systemsApplication softwareCommunications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Electrical engineering.Computer communication systems.Application software.Communications Engineering, Networks.Computer Communication Networks.Information Systems Applications (incl. Internet).004.6Chen Shigangauthttp://id.loc.gov/vocabulary/relators/aut867170Chen Minauthttp://id.loc.gov/vocabulary/relators/autXiao Qingjunauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910149461703321Traffic Measurement for Big Network Data1935486UNINA01302nas 2200433 c 450 991089489460332120181004110536.0Hein-cfr/years_title_0017(CKB)3390000000017742(DE-599)ZDB2224960-6(OCoLC)644569162(DE-101)978781902(EXLCZ)99339000000001774220060303a19389999 |y |engur|||||||||||txtrdacontentcrdamediacrrdacarrierCode of federal regulationsCFRTitle 17Commodity and securities exchangesNational Archives and Records AdministrationWashington, DCBuffalo, NYHeinOnline1938-Online-RessourceGesehen am 04.10.18Code of federal regulations / 17CFRCODE OF FEDERAL REGULATIONS - TITLE 17Zeitschriftgnd-content310330360INTRECHTDE-1afidUSANational Archives and Records Administrationisb0001DE-1019001JOURNAL9910894894603321Code of federal regulations3187075UNINA