Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
Complex queries over high speed data streams often need to rely on approximations to keep up with their input. The research community has developed a rich literature on approximat...
Theodore Johnson, S. Muthukrishnan, Irina Rozenbau...
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
Music query-by-humming is a challenging problem since the humming query inevitably contains much variation and inaccuracy. Many of the previous methods, which adopt note segmentat...
Abstract. Data storage systems are being called on to manage continuous media data types, such as digital audio and video. There is a demand by applications for \constrained-latenc...