New York / Washington / DC / Berlin / Atlanta / Vienna / /
Company
Cambridge University Press / NetBeans / Computer-Communication Networks / John Wiley and Sons / Addison-Wesley Longman Publishing Co. Inc. / Intel / /
Country
Austria / United States / /
Currency
USD / / /
Facility
Interactive Root Cause Analysis Florian Stoffel Fabian Fischer Daniel A. Keim University of Konstanz University / UDP Port / Konstanz University / W. A. Pike / TCP Port / Destination Port / Name TCP Port / /
Holiday
labor day / /
IndustryTerm
anomaly detection in network / time-series / data mining / similarity search / transport protocol / computer network / Internet traffic / large computer networks / stand-alone server / Real-time visualization / mining / interface software / vulnerable services / security-related applications / window management / exploited services / search space / Visual data mining / internal network / /
Organization
Cambridge University / Konstanz University / TCP UDP / Interactive Root Cause Analysis Florian Stoffel Fabian Fischer Daniel A. Keim University / European Commission / IEEE Computer Society / /
Person
Florian Stoffel Fabian Fischer Daniel / K. Ren / V / G. Kaur / V / /
Position
fictive analyst / straight forward / Retrieval Data Sources Scheduler / User Interfaces General / general data control / General / author / analyst / /
ProgrammingLanguage
Java / DC / /
ProvinceOrState
New York / /
PublishedMedium
Computer Graphics / /
Technology
API / UDP / Ethernet / DNS / Java / transport protocol / 3 SSH File Transfer Protocol / http / data mining / 2 Quad Processor / /
Finding Anomalies in Time-Series using Visual Correlation for Interactive Root Cause Analysis Florian Stoffel Fabian Fischer