DATA VERSUS INFORMATION: INFORMATION RETRIEVAL FROM DATA SEQUENCES

Abstract

This paper is concerned with data sequences. The information parameter to be generally utilized for information retrieval in this category of data arrays is the trend of the data function in terms of its significant slopes, and the outcome of this type of trend analysis is a meander‐like step function. Fluctuations of the data sequence around its derived trend function have to be analyzed with regard to the given error corridor and the selected bandwidth of frequencies, or the sampling time of the data. This feature eliminates noise from the relevant data. Examples are given.

Citation

REISIG, G.H.R. (1974), "DATA VERSUS INFORMATION: INFORMATION RETRIEVAL FROM DATA SEQUENCES", Kybernetes, Vol. 3 No. 4, pp. 231-240. https://doi.org/10.1108/eb005373