3 Result(s)
within
Conference Paper
David Hansen
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
On Multidimensional Wavelet Synopses for Maximum Error Bounds
Having been extensively used to summarize massive data sets, wavelet synopses can be classified into two types: space-bounded and error-bounded synopses. Although various research efforts have been made for th...
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Chapter and Conference Paper
Improving the Use, Analysis and Integration of Patient Health Data
Health Information Technologies (HIT) are being deployed world- wide to improve access to individual patient information. Primarily this is through the development of electronic health records (EHR) and electr...
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Chapter and Conference Paper
Building Data Synopses Within a Known Maximum Error Bound
The constructions of Haar wavelet synopses for large data sets have proven to be useful tools for data approximation. Recently, research on constructing wavelet synopses with a guaranteed maximum error has gai...
