SCOPE:一种高效的单次查找强相关项目对的方法

2008 International Conference on Information Technology Pub Date : 2008-12-17 DOI:10.1109/ICIT.2008.10

Swarup Roy, D. Bhattacharyya

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引用次数: 4

摘要

本文提出了一种高效的一次性强相关项对抽取技术SCOPE(强相关项对抽取)，该技术可以在不生成候选集的情况下，从事务数据库中找到所有强相关项对。我们在真实和合成数据集上进行了实验，并将SCOPE的性能与其他同类(即锥度和TCP)进行了比较，结果令人满意。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SCOPE: An Efficient One Pass Approach to Find Strongly Correlated Item Pairs

This paper presents an efficient one pass technique, SCOPE (strongly correlated item pairs extraction), which finds all the strongly correlated item pairs from transaction database, without generating any candidate sets. We experimented with real and synthetic datasets and compared the performance of SCOPE with its other counterparts i.e. TAPER and TCP and found satisfactory.

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2008 International Conference on Information Technology

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