Now showing items 1-4 of 4

    • Aggregate profile clustering for streaming analytics 

      Abbasoğlu, M. A.; Gedk, B.; Ferhatosmanoğu H. (Oxford University Press, 2015)
      Many analytic applications require analyzing user interaction data. In particular, such data can be aggregated over a window to build user activity profiles. Clustering such aggregate profiles is useful for grouping together ...
    • Aggregate profile clustering for telco analytics 

      Abbasoğlu, M.A.; Gedik, B.; Ferhatosmanoğlu H. (2013)
      Many telco analytics require maintaining call profiles based on recent customer call patterns. Such call profiles are typically organized as aggregations computed at different time scales over the recent customer interactions. ...
    • Auto-parallelizing stateful distributed streaming applications 

      Schneider, S.; Hirzel, M.; Gedik, Buğra; Wu, K. -L. (2012)
      Streaming applications transform possibly infinite streams of data and often have both high throughput and low latency requirements. They are comprised of operator graphs that produce and consume data tuples. The streaming ...
    • SPL: an extensible language for distributed stream processing 

      Hirzel M.; Schneider S.; Gedik, B. (Association for Computing Machinery, 2017)
      Big data is revolutionizing how all sectors of our economy do business, including telecommunication, transportation, medical, and finance. Big data comes in two flavors: data at rest and data in motion. Processing data in ...