Adaptive Information Filtering as a Means to Overcome Information Overload

@inproceedings{Tauritz1996AdaptiveIF,
  title={Adaptive Information Filtering as a Means to Overcome Information Overload},
  author={Daniel R. Tauritz},
  year={1996}
}
Information Filtering is concerned with filtering data streams in such a way as to leave only pertinent data (information) to be perused. When the data streams are produced in a changing environment (as most if not all are) the filtering has to adapt too in order to remain effective. Adaptive Information Filtering (AIF) is concerned with filtering in changing environments. The changes may occur both on the transmission side (the nature of the streams can change), and on the reception side (the… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
Showing 1-10 of 32 references

C++ code for dynamic topic separation experiment

C. Appendix
Title : Stream // Author : D.R. Tauritz // Revised: September • 1996

Optimization of the discriminatory power of a trigram based document clustering algorithm using evolutionary computation

Tauritz, R Daniel
Internal Report 96-5, • 1996

Adaptive Resonance Theory (ART).: An Introduction

Heins, G Lucien, Tauritz, R Daniel
Internal Report 95-35, • 1995