This paper presents a method for session identification based on an analysis of intervals of user access logs.
针对网络日志挖掘中的会话切分问题，提出了一种基于时间间隔的方法。
Combined the examples, data cleaning, user identification, session identification, path completion and transaction identification are discussed deeply.
结合实例详细介绍了数据净化、用户识别、会话识别、路径补充和事务识别等数据预处理技术。
The experiment result demonstrates that the new session identification method could identify more sessions and the identification is more precise than the old methods.
实验结果证明，新会话识别方法比原有方法识别会话数更多，而且也更加准确。
Chapter 3 introduces the processes of data preprocessing, they are data cleaning, user identification, user session identification, path supplement and data formatting.
第三章探讨了数据预处理的流程，即数据清理、用户识别、用户会话识别、路径补充和数据格式化。
Chapter 3 introduces the processes of data preprocessing, they are data cleaning, user identification, user session identification, path supplement and data formatting.
第三章探讨了数据预处理的流程，即数据清理、用户识别、用户会话识别、路径补充和数据格式化。
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