A Sequential Pattern Query Language for Supporting Instant Data Mining for e-Services

机译：支持电子服务即时数据挖掘的顺序模式查询语言

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Many e-commerce applications, including online auctions, personalization, and targeted advertising, require mining web-logs, transaction trails, and similar sequential patterns. Often, an "instant" response during an active trading session is required in critical applications. Therefore, e-services need efficient tools to perform fast, scalable searches for sequential patterns. Here, we describe SQL-TS, an extension of SQL that is highly optimized for searching patterns in sequences, and discuss its many uses in e-services.

机译：许多电子商务应用程序，包括在线拍卖，个性化和有针对性的广告，都需要挖掘Web日志，交易记录和类似的顺序模式。在关键的应用程序中，经常需要在活跃的交易时段内做出“即时”响应。因此，电子服务需要高效的工具来执行快速，可扩展的顺序模式搜索。在这里，我们描述SQL-TS，这是SQL的扩展，它是针对序列中的模式进行高度优化的，并讨论了它在电子服务中的许多用途。

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《Twenty-Seventh International Conference on Very Large Data Bases, 27th, Sep 11-14th, 2001, Roma, Italy》|2001年|p.653-656|共4页
会议地点 Roma(IT);Roma(IT)
作者
Reza Sadri; Carlo Zaniolo; Amir Zarkesh; Jafar Adibi;
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作者单位

Procom Technology 58 Discovery Irvine, California 92618;

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会议组织
原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
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A Sequential Pattern Query Language for Supporting Instant Data Mining for e-Services

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