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arXiv · 0805.1296

A Simple Dynamic Mind-map Framework To Discover Associative Relationships in Transactional Data Streams

Christoph Schommer
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Abstract

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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Christoph Schommer. 2008-05-09. A Simple Dynamic Mind-map Framework To Discover Associative Relationships in Transactional Data Streams. https://arxiv.org/abs/0805.1296

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