Johns Hopkins University Press / Twitter / Google / The times / Ford / Yahoo! Music / Yahoo / /
Country
United States / /
Currency
USD / / /
IndustryTerm
bulk iterative algorithms / web-scale analytical processing / graph processing systems / graph mining / actual algorithm / parallel algorithms / recommendation mining / distributed iterative data processing / large-scale data mining problems / iterative algorithm / non-incremental algorithms / in-memory cluster computing / online collaborative filtering / peta-scale graph mining system / large networks / dot product / data mining / data-intensive computing / recommender systems / Statistical applications / large-scale graph processing / correct solution / real-time analytical systems / iterative algorithms / rollback-recovery protocols / loosely-coupled distributed systems / fixpoint algorithms / data-parallel iterative algorithms / possible intermediate solutions / iterative data processing / data processing / search engines / storage systems / fixpoint algorithm / workflow management-systems / web mining / social networks / distributed data analysis systems / distributed data processing systems / message-passing systems / conducted using parallel processing platforms / analytical applications / stream processing / /
NaturalFeature
Discretized streams / /
Organization
The Johns Hopkins University / German Research Foundation / US Federal Reserve / Distributed Iterative Data Processing Sebastian Schelter Stephan Ewen Volker Markl Kostas Tzoumas Technische Universität Berlin / European Union / /
Person
Max Heimel / O. Kao / V / Jörg Fliege / Stanford InfoLab / Jérôme Kunegis / Y. Bu / V / Jeffrey Ullman / Sebastian Schelter Stephan Ewen Volker / / /
Position
efficient and fault-tolerant model for stream processing on large clusters / bridging model for parallel computation / parallel programming model for fixpoint algorithms / author / programmer / /