Mining On-line Newspaper Web Access Logs
نویسندگان
چکیده
With the explosive growth of data available on the Internet, discovery and analysis of useful information from web log data becomes a practical necessity. However, analysis of large web log files is a complex task not fully addressed by existing web access analyzers. Using commercial software, we applied data mining technology to analyze access log records collected on a web newspaper. We have identified several reading patterns and we discuss approaches for mining this data.
منابع مشابه
Mining Web Access Logs of an On-line Newspaper
With the explosive growth of data available on the Internet, personalization of this information space become a necessity. An important component of web personalization is the automatic knowledge extraction from web log files. However, analysis of large web log files is a complex task not fully addressed by existing web access analyzers. Using commercial software, we applied well-known data min...
متن کاملOnline and Incremental Mining of Separately-Grouped Web Access Logs
The rising popularity of electronic commerce makes data mining an indispensable technology for business competitiveness. The World Wide Web provides abundant raw data in the form of web access logs, web transaction logs and web user profiles. Without data mining tools, it is impossible to make any sense of such massive data. In this paper, we focus on web usage mining because it deals most appr...
متن کاملMining Access Patterns Eeciently from Web Logs ?
With the explosive growth of data available on the World Wide Web, discovery and analysis of useful information from the World Wide Web becomes a practical necessity. Web access pattern, which is the sequence of accesses pursued by users frequently, is a kind of interesting and useful knowledge in practice. In this paper, we study the problem of mining access patterns from Web logs e ciently. A...
متن کاملتشخیص ناهنجاری روی وب از طریق ایجاد پروفایل کاربرد دسترسی
Due to increasing in cyber-attacks, the need for web servers attack detection technique has drawn attentions today. Unfortunately, many available security solutions are inefficient in identifying web-based attacks. The main aim of this study is to detect abnormal web navigations based on web usage profiles. In this paper, comparing scrolling behavior of a normal user with an attacker, and simu...
متن کاملKnowledge Discovery from Web Usage Data: Research and Development of Web Access Pattern Tree Based Sequential Pattern Mining Techniques: A Survey
Sequential pattern mining is the process of applying data mining techniques to a sequential database, to extract frequent subsequences to discover correlation that exists among the ordered list of events. Web Usage mining (WUM) discovers and extracts interesting knowledge/patterns from Web logs is one of the applications of Sequential Pattern Mining. In this paper, we present a survey of the se...
متن کامل