scholarly journals DERIVING USER ACCESS PATTERNS AND MINING WEB COMMUNITY WITH WEB-LOG DATA FOR PREDICTING USER SESSIONS WITH PAJEK

2012 ◽  
Vol 03 (01) ◽  
pp. 415-419
Author(s):  
Balaji S. ◽  
◽  
Sasikala S. ◽  
Keyword(s):  
Log Data ◽  
Web Log ◽  
Web Community ◽  
User Access ◽  
Access Patterns

scholarly journals An Application of Improved Gap-BIDE Algorithm for Discovering Access Patterns

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Xiuming Yu ◽  
Meijing Li ◽  
Taewook Kim ◽  
Seon-phil Jeong ◽  
Keun Ho Ryu
Keyword(s):  
Pattern Mining ◽  
Sequential Pattern ◽  
Access Pattern ◽  
Large Database ◽  
Log Data ◽  
Web Log ◽  
Mining Algorithm ◽  
User Access ◽  
Access Patterns ◽  
Mining Algorithms

Discovering access patterns from web log data is a typical sequential pattern mining application, and a lot of access pattern mining algorithms have been proposed. In this paper, we propose an improved approach of Gap-BIDE algorithm to extract user access patterns from web log data. Compared with the previous Gap-BIDE algorithm, a process of getting a large event set is proposed in the provided algorithm; the proposed approach can find out the frequent events by discarding the infrequent events which do not occur continuously in an accessing time before generating candidate patterns. In the experiment, we compare the previous access pattern mining algorithm with the proposed one, which shows that our approach is very efficient in discovering access patterns in large database.

scholarly journals Application of Data Mining on Web Usage Data for Security: WebSecuDMiner

2019 ◽  
Author(s):  
Muhammad Zia Aftab Khan ◽  
Jihyun Park
Keyword(s):  
Design Methodology ◽  
Access Pattern ◽  
User Research ◽  
Web Log ◽  
Web Access ◽  
User Access ◽  
Log File ◽  
Access Patterns ◽  
Web Access Pattern ◽  
The Web

The purpose of this paper is to develop WebSecuDMiner algorithm to discover unusual web access patterns based on analysing the potential rules hidden in web server log and user navigation history. Design/methodology/approach: WebSecuDMiner uses equivalence class transformation (ECLAT) algorithm to extract user access patterns from the web log data, which will be used to identify the user access behaviours pattern and detect unusual one. Data extracted from the web serve log and user browsing behaviour is exploited to retrieve the web access pattern that is produced by the same user. Findings: WebSecuDMiner is used to detect whether any unauthorized access have been posed and take appropriate decisions regarding the review of the original rights of suspicious user. Research limitations/implications: The present work uses the database which is extracted from web serve log file and user browsing behaviour. Although the page is viewed by the user, the visit is not recorded in the server log file, since it can be access from the browser's cache.

scholarly journals WEB ADAPTIF MENGGUNAKAN ALGORITMA FREQUENT WEB DOCUMENT PATTERN (FWDP) PADA WEBSITE UNIVERSITAS RESPATI

Respati ◽  
2017 ◽  
Vol 7 (20) ◽  
Author(s):  
Indra Listiawan
Keyword(s):  
Association Rule ◽  
Adaptive System ◽  
Log Data ◽  
Web Log ◽  
Web Document ◽  
The People ◽  
Information Page ◽  
Access Patterns ◽  
Data Log ◽  
Speed And Accuracy

An Institution Website is a profile of an institution for the people who directly or indirectly related to the agency. Some problems related to the performance of a web are the speed and accuracy of presentation of the information needed by the community.Technology of adaptive Website is one of technology that attempted to simplify the user to find the information that need from a website. The technology is based on web log. Log is used as a reference for the access patterns are realized in the form of recommendations links to information that is often accessed by people from the website. Log data processing performed by implemented the FWDPTree algorithm to get a particular tree structure that stores information page along with the frequency of occurrence, then performed datamining by algorithm FWDP-mine.This Technology has been able  to reach information more quickly There are still weaknesses in this system. The adaptive system has not been able to make the process of adaptation in realtime, this is due to the need for time to process large log data in order to obtain the user's access patterns, while the session that occurred during the offline process does not processed. Keywords— Adaptive web, Data Log, FWDP Algorithm, Association Rule, Realtime 

scholarly journals Indexing Techniques for Web Access Logs

2004 ◽  
pp. 305-334 ◽  
Author(s):  
Yannis Manolopoulos ◽  
Mikolaj Morzy ◽  
Tadeusz Morzy ◽  
Alexandros Nanopoulos ◽  
Marek Wojciechowski ◽  
...  
Keyword(s):  
Log Data ◽  
Web Log ◽  
Indexing Techniques ◽  
Web Access ◽  
User Access ◽  
Single User ◽  
Efficient Processing ◽  
Access Logs ◽  
Web Access Logs ◽  
The Web

Access histories of users visiting a web server are automatically recorded in web access logs. Conceptually, the web-log data can be regarded as a collection of clients’ access-sequences, where each sequence is a list of pages accessed by a single user in a single session. This chapter presents novel indexing techniques that support efficient processing of so-called pattern queries, which consist of finding all access sequences that contain a given subsequence. Pattern queries are a key element of advanced analyses of web-log data, especially those concerning typical navigation schemes. In this chapter, we discuss the particularities of efficiently processing user access-sequences with pattern queries, compared to the case of searching unordered sets. Extensive experimental results are given, which examine a variety of factors and illustrate the superiority of the proposed methods over indexing techniques for unordered data adapted to access sequences.

A Web Usage Mining Approach to User Navigation Pattern and Prediction in Web Log Data

2012 ◽  
Vol 3 (4) ◽  
pp. 92-94
Author(s):  
SUJATHA PADMAKUMAR ◽  
◽  
Dr.PUNITHAVALLI Dr.PUNITHAVALLI ◽  
Dr.RANJITH Dr.RANJITH
Keyword(s):  
Web Usage Mining ◽  
Log Data ◽  
Web Log ◽  
Web Usage ◽  
User Navigation

scholarly journals The Efficacy of Facebook in Teaching and Learning: Studied via Content Analysis of Web Log Data

2019 ◽  
Vol 161 ◽  
pp. 493-501
Author(s):  
Suleiman Alsaif ◽  
Alice S Li ◽  
Ben Soh ◽  
Sara Alraddady
Keyword(s):  
Content Analysis ◽  
Teaching And Learning ◽  
Log Data ◽  
Web Log

Application of Data Pre-Processing Method in Web Mining

2014 ◽  
Vol 687-691 ◽  
pp. 1592-1595
Author(s):  
Yun Peng Duan ◽  
Chun Xi Zhao ◽  
Ying Shi
Keyword(s):  
Data Mining ◽  
Web Mining ◽  
Early Stage ◽  
Data Preprocessing ◽  
Web Technology ◽  
Processing Method ◽  
Web Log Mining ◽  
Web Log ◽  
User Access ◽  
Log Mining

With the widely application of the WWW and the emergence of Web technology, make the research of data mining has entered a new stage. Web log mining is based on the idea of data mining to analyze the server log processing. Paper aimed at the early stage of the data mining is put forward based on log data preprocessing methods, the purpose is to divide server logs into multiple unique user access sequence at a time, and to give a good algorithm.

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