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Withdrawn paper explores fuzzy string matching and data clustering

By PulseAugur Editorial · [1 sources] ·

This paper, "Fuzzy Segmentations of a String," by Armen Kostanyan, explores a specific data clustering problem involving adjacent text segments that match a fuzzy pattern. The author proposes a heuristic algorithm utilizing prefix structures to identify solutions, with a special case proving that the algorithm finds all matching segments in fuzzy string matching. The paper also addresses finding the best segmentation of an entire text using dynamic programming. However, the paper has since been withdrawn by the author. AI

IMPACT This research explores algorithmic approaches to text segmentation and fuzzy matching, potentially improving data processing and analysis techniques.

RANK_REASON The item is an academic paper discussing algorithms for data clustering and string matching. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Withdrawn paper explores fuzzy string matching and data clustering

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45 / 100
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The item is an academic paper discussing algorithms for data clustering and string matching. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Armen Kostanyan, Arevik Harmandayan ·

    Fuzzy Segmentations of a String

    arXiv:2201.13427v2 Announce Type: replace Abstract: This article discusses a particular case of the data clustering problem, where it is necessary to find groups of adjacent text segments of the appropriate length that match a fuzzy pattern represented as a sequence of fuzzy prop…

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