Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-05-09
Computer Science
Neural and Evolutionary Computing
12 pages, 8 Figures. Updated version of a paper presented at the Workshop on Symbolic Networks, ECAI 2004, Valencia, Spain
Scientific paper
In this paper, we informally introduce dynamic mind-maps that represent a new approach on the basis of a dynamic construction of connectionist structures during the processing of a data stream. This allows the representation and processing of recursively defined structures and avoids the problem of a more traditional, fixed-size architecture with the processing of input structures of unknown size. For a data stream analysis with association discovery, the incremental analysis of data leads to results on demand. Here, we describe a framework that uses symbolic cells to calculate associations based on transactional data streams as it exists in e.g. bibliographic databases. We follow a natural paradigm of applying simple operations on cells yielding on a mind-map structure that adapts over time.
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