@inproceedings{1fcb1d820dfb4164840a818e473f636d,
title = "Approximate query on historical stream data",
abstract = "We present a new Stream OLAP framework to approximately answer queries on historical stream data, in which each cell is extended from a single value to a synopsis structure. The cell synopses can be constructed by the existing well researched methods, including Fourier, DCT, Wavelet, PLA, etc. To implement the Cube aggregation operation, we develop algorithms that aggregate multiple lower level synopses into a single higher level synopsis for those synopsis methods. Our experiments provide comparison among all used synopsis methods, and confirm that the synopsis cells can be accurately aggregated to a higher level.",
keywords = "Approximate Query, DCT, Fourier, OLAP, PLA, Stream, Synopsis, Wavelet",
author = "Qiyang Duan and Peng Wang and Mingxi Wu and Wei Wang and Sheng Huang",
year = "2011",
doi = "10.1007/978-3-642-23091-2_12",
language = "English",
isbn = "9783642230905",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "128--135",
booktitle = "Database and Expert Systems Applications - 22nd International Conference, DEXA 2011, Proceedings",
edition = "PART 2",
note = "22nd International Conference on Database and Expert Systems Applications, DEXA 2011 ; Conference date: 29-08-2011 Through 02-09-2011",
}