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Discovering Patterns in Symbolic Streams

Discovering Patterns in Symbolic Streams
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摘要 The idea of discovering patterns in data seems to be essential for decision making in our social activities. This paper presents a simple algorithm which can be used to detect such patterns in elementary sequences of symbols. It adopts a data compression algorithm to seek for interesting patterns, which is important in understanding the way that the input symbol stream repeats itself In this paper, the algorithm and related data structures are described in detail, and an illustrative example is given. The idea of discovering patterns in data seems to be essential for decision making in our social activities. This paper presents a simple algorithm which can be used to detect such patterns in elementary sequences of symbols. It adopts a data compression algorithm to seek for interesting patterns, which is important in understanding the way that the input symbol stream repeats itself In this paper, the algorithm and related data structures are described in detail, and an illustrative example is given.
出处 《Advances in Manufacturing》 SCIE CAS 2000年第S1期83-85,共3页 先进制造进展(英文版)
基金 the National Natural Science Foundation of China (69873031 )
关键词 data mining knowledge discovery data compression data mining, knowledge discovery, data compression
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参考文献2

  • 1Gang Li Ph. D. Candidate,Fu Tong.Natural genetic algorithm with controlled population evolution[J].Journal of Shanghai University (English Edition).1999(2)
  • 2Li,G Tu Y,Tong F.A Fast evolutionary algorithm for naural network training using differential evolution, The 5thInternational Conference for Young Computer Scientists(ICYCS’99), in Advances in Computer Science and Technology[]..1999

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