We study the problem of computing waveletbased synopses for massive data sets in static and streaming environments. A compact representation of a data set is obtained after a thre...
Approximate query processing has emerged as a costeffective approach for dealing with the huge data volumes and stringent response-time requirements of today's decision-suppo...
Kaushik Chakrabarti, Minos N. Garofalakis, Rajeev ...
We introduce the Haar+ tree: a refined, wavelet-inspired data structure for synopsis construction. The advantages of this structure are twofold: First, it achieves higher synopsis...
This paper proposes a new class of lifting wavelet transform which can guarantee losslessness of specific signals, e.g. white balance. The 5/3 wavelet transform composed of two li...
We consider the wavelet synopsis construction problem for data streams where given n numbers we wish to estimate the data by constructing a synopsis, whose size, say B is much sma...