Performance comparison of pattern discovery methods on web log data

Download

index.pdf

Date

2006-03-11

Author

Bayir, Murat Ali
Toroslu, İsmail Hakkı
Coşar, Ahmet

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

204
views

89
downloads

One of the popular trends in computer science has been development of intelligent web-based systems. Demand for such systems forces designers to make use of knowledge discovery techniques on web server logs. Web usage mining has become a major area of knowledge discovery on World Wide Web. Frequent pattern discovery is one of the main issues in web usage mining. These frequent patterns constitute the basic information source for intelligent web-based systems. In this paper; frequent pattern mining algorithms for web log data and their performance comparisons are examined. Our study is mainly focused on finding suitable pattern mining algorithms for web server logs.

Subject Keywords

Data mining, Web mining, Web pages, Web server, Intelligent systems, Navigation, Uniform resource locators, Data engineering, Computer science, Web sites

URI

https://hdl.handle.net/11511/31738

DOI

https://doi.org/10.1109/aiccsa.2006.205129

Conference Name

4th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA-06)

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

Suggestions

OpenMETU
Core

Analysis of graph and text representation techniques for news recommendation and news classification Ağrıman, Mustafa; Karagöz, Pınar; Department of Computer Engineering (2022-2-07) Developments in computer science leads to increase in the use of software applications in all areas of life. This also causes an increase in data usage. Applications using textual data involves tasks such as finding similarities between texts, detecting events from texts, and classifying texts. However, using graphs and graph vectors can be more successful than textual methods of representing textual information, due to capability to express additional features and complex relationships in graph structure. ...
Optimization of an online course with web usage mining Akman, LE; Akkan, B; Baykal, Nazife (2004-02-18) The huge amount of information existing in the World Wide Web constitutes an ideal environment to implement data mining techniques. Web mining is the mining of web data. There are different applications of web mining: web content mining, web structure mining and web usage mining. In our study we analyzed an online course by web usage mining techniques in order to optimize the navigation paths, the duration of the time spend on each page and the number of visits throughout the semester of the course. Moreove...
Automatic quality of service (QOS) evaluation for domain specific web service discovery framework Aşkaroğlu, Emra; Karagöz, Pınar; Department of Computer Engineering (2011) Web Service technology is one of the most rapidly developing contemporary technologies. Nowadays, Web Services are being used by a large number of projects and academic studies all over the world. As the use of Web service technology is increasing, it becomes harder to find the most suitable web service which meets the Quality of Service (QoS) as well as functional requirements of the user. In addition, quality of the web services (QoS) that take part in the software system becomes very important. In this t...
Usability evaluation of dynamic geometry software through eye tracking and communication breakdown analysis Yağmur, Serap; Çakır, Murat Perit; Department of Information Systems (2014) The use of information technology in mathematics education has become popular due to the increasing availability of software applications designed for constructing mathematical representations. In this study, we conducted a usability evaluation of GeoGebra, which is a commonly used math education tool that provides dynamic geometry, spreadsheet and algebra features. The study consists of three usability experiments. In the first experiment, an eye tracking study was conducted where individual participants p...
Implementing real-time data analytics methods for predictive manufacturing in oil and gas industry : from the perspective of industry 4.0 Yeldan, Yiğit; Pamukçu, M. Teoman.; Department of Science and Technology Policy Studies (2019) With the recent developments in statistics and computer science, digitalization has become more important for manufacturing companies. Thanks to the progress made in the area of information technologies, it has become possible for all production systems to communicate with each other by transmitting and receiving data digitally in order to manage the decision-making process in the best manner. Several studies suggest that production processes that are based on full automation will be compulsory for companie...

Citation Formats

M. A. Bayir, İ. H. Toroslu, and A. Coşar, “Performance comparison of pattern discovery methods on web log data,” presented at the 4th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA-06), Sharjah, U ARAB EMIRATES, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31738.