Filtering Events using Clustering in Heterogeneous Security Logs
نویسندگان
چکیده
منابع مشابه
Correlation-based Document Clustering using Web Logs
Zhong Su, Qiang Yang, Hongjiang Zhang, Xiaowei Xu, Yuhen Hu Department of Computing Science, Tsinghua University, Beijing 100084, China 2 School of Computing Science, Simon Fraser University, Burnaby, BC Canada V5A 1S6 3 Microsoft Research China, 5F, Beijing Sigma Center, Beijing 100080 P.R. China 4 Siemens AG, Information and Communications Corporate Technology, D-81730 Munich, Germany 5 Depar...
متن کاملClustering Heterogeneous Data Using Clustering by Compression
Nowadays, we have to deal with a large quantity of unstructured data, produced by a number of sources. The application of clustering on the World Wide Web is essential to getting structured information in response to user queries. In this paper, we intend to test the results of a new clustering technique – clustering by compression – when applied to heterogeneous sets of data. The clustering by...
متن کاملClustering of Search Engine Keywords Using Access Logs
It the becomes possible that users can get kinds of information by just inputting search keyword(s) representing the topic which users are interested in. But it is not always true that users can hit upon search keyword(s) properly. In this paper, by using Web access logs (called panel logs), which are collected URL histories of Japanese users (called panels) selected without static deviation si...
متن کاملMining Web Access Logs Using Relational Competitive Fuzzy Clustering
The proliferation of information on the World-Wide Web has made the personalization of this information space a necessity. An important part of Web personalization is to mine typical user profiles from the vast amount of historical data stored in access logs. In this paper, we define the notion of a “user session” and a new distance measure between two web sessions that captures the organizatio...
متن کاملSelf-organizing map based web pages clustering using web logs
A Web-based business always wants to have the ability to track users’ browsing behavior history. This ability can be achieved by using Web log mining technologies. In this paper, we introduce a Self-Organizing Map (SOM) based approach to mining Web log data. The SOM network maps the web pages into a two-dimensional map based on the users’ browsing history. Web pages with the similar browsing pa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2011
ISSN: 1812-5638
DOI: 10.3923/itj.2011.798.806