Indexing Techniques for Web Access Logs

Indexing Techniques for Web Access Logs

Yannis Manolopoulos, Mikolaj Morzy, Tadeusz Morzy, Alexandros Nanopoulos, Marek Wojciechowski, Maciej Zakrzewicz
Copyright: © 2004 |Pages: 30
DOI: 10.4018/978-1-59140-208-4.ch009
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Abstract

Access histories of users visiting a web server are automatically recorded in web access logs. Conceptually, the web-log data can be regarded as a collection of clients’ access-sequences, where each sequence is a list of pages accessed by a single user in a single session. This chapter presents novel indexing techniques that support efficient processing of so-called pattern queries, which consist of finding all access sequences that contain a given subsequence. Pattern queries are a key element of advanced analyses of web-log data, especially those concerning typical navigation schemes. In this chapter, we discuss the particularities of efficiently processing user access-sequences with pattern queries, compared to the case of searching unordered sets. Extensive experimental results are given, which examine a variety of factors and illustrate the superiority of the proposed methods over indexing techniques for unordered data adapted to access sequences.

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