Visit Filter
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Visit Filter
Visit filters which are used by Web log analysis software Web log analysis software (also called a web log analyzer) is a kind of web analytics software that parses a server log file from a web server, and based on the values contained in the log file, derives indicators about when, how, and by whom a web ... include or exclude all the data in a visit session. The specifying ranges or types of data let you limit the web log data that is analyzed, letting you focus on relevant activity. See also * Hit filter References Web analytics {{Web-software-stub ...
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Web Log Analysis Software
Web log analysis software (also called a web log analyzer) is a kind of web analytics software that parses a server log file from a web server, and based on the values contained in the log file, derives indicators about when, how, and by whom a web server is visited. Reports are usually generated immediately, but data extracted from the log files can alternatively be stored in a database, allowing various reports to be generated on demand. Features supported by log analysis packages may include "hit filters", which use pattern matching to examine selected log data. Common indicators * Number of visits and number of unique visitors * Visit duration and last visits * Authenticated users, and last authenticated visits * Days of week and rush hours * Domains/countries of host's visitors. * Hosts list * Number of page views * Most viewed, entry, and exit pages * File types * OS used * Browsers used * Robots used * HTTP referrer * Search engines, key phrases and keywords used to find ...
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Hit Filter
Web log analysis software (also called a web log analyzer) is a kind of web analytics software that parses a server log file from a web server, and based on the values contained in the log file, derives indicators about when, how, and by whom a web server is visited. Reports are usually generated immediately, but data extracted from the log files can alternatively be stored in a database, allowing various reports to be generated on demand. Features supported by log analysis packages may include "hit filters", which use pattern matching to examine selected log data. Common indicators * Number of visits and number of unique visitors * Visit duration and last visits * Authenticated users, and last authenticated visits * Days of week and rush hours * Domains/countries of host's visitors. * Hosts list * Number of page views * Most viewed, entry, and exit pages * File types * OS used * Browsers used * Robots used * HTTP referrer * Search engines, key phrases and keywords used to f ...
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