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Adaptive neural network clustering of Web users

S.K. Rangarajan, V.V. Phoha, K.S. Balagani, R.R. Selmic, S.S. Iyengar
2004 Computer  
A neural network based on adaptive resonance theory dynamically groups users based on their Web access patterns.  ...  A prefetching application of this clustering technique showed prediction accuracy as high as 97.78 percent.  ...  Web server access logs contain substantial data about user access patterns.  ... 
doi:10.1109/mc.2004.1297299 fatcat:mt4iivfj7fdhxenokh2utbn4zu

An Efficient Preprocessing Methodology for Discovering Patterns and Clustering of Web Users using a Dynamic ART1 Neural Network [article]

C. Ramya, G. Kavitha
2011 arXiv   pre-print
A dynamic ART1 neural network clustering algorithm to group users according to their Web access patterns with its neat architecture is also proposed.  ...  In this paper, a complete preprocessing methodology for discovering patterns in web usage mining process to improve the quality of data by reducing the quantity of data has been proposed.  ...  The results show that the proposed methodology reduces the size of Web access log files down to 73-82% of the initial size and offers richer logs that are structured for further stages of Web Usage Mining  ... 
arXiv:1109.1211v1 fatcat:ijhyppklundfpgmsyf5cdij6yq

Dynamic Grouping of Web Users Based on Their Web Access Patterns using ART1 Neural Network Clustering Algorithm [article]

C. Ramya, G. Kavitha, K. S. Shreedhara
2012 arXiv   pre-print
In this paper, we propose ART1 neural network clustering algorithm to group users according to their Web access patterns.  ...  We compare the quality of clustering of our ART1 based clustering technique with that of the K-Means and SOM clustering algorithms in terms of inter-cluster and intra-cluster distances.  ...  A novel based approach for dynamically grouping Web users based on their Web access patterns using ART1 NN clustering algorithm is presented in this paper.  ... 
arXiv:1205.1938v1 fatcat:nlrwrs35dncyzoc6olsj47hu2y

Efficient Frequent Pattern Mining on Web Logs [chapter]

Liping Sun, Xiuzhen Zhang
2004 Lecture Notes in Computer Science  
We propose a new algorithm -Combined Frequent Pattern Mining (CFPM) algorithm to cater for web log data specifically.  ...  Mining frequent patterns from web log data can help to optimise the structure of a web site and improve the performance of web servers. Web users can also benefit from these frequent patterns.  ...  In [5] , Web Access Path trees (WAP trees) were proposed to mine web access patterns from web logs.  ... 
doi:10.1007/978-3-540-24655-8_58 fatcat:yclxkac5xfckfhuftxmet75hzq

The Research of Preprocessing and Pattern Discovery Techniques on Web Log Files

P. Dhanalakshmi, K. Ramani, B. Eswara Reddy
2016 2016 IEEE 6th International Conference on Advanced Computing (IACC)  
log preprocessing and mining strategies and their material confinements for element web mining using this techniques we can create pattern cluster so we can easily retrieve data from data source.  ...  The static mining procedures may not be appropriate as it is for element web log documents and basic leadership.  ...  Figure 2 - 2 Static Pattern Analyzers Ordinary Log file Format which is available for Web sites but not for FTP sites. Figure.1 Existing Architecture III. EXISTING ALGORITHM 1.  ... 
doi:10.1109/iacc.2016.35 fatcat:fp755ghtvra67ja74yccknkfhu

Bidirectional Growth Based Mining and Cyclic Behaviour Analysis of Web Sequential Patterns

Srikantaiah K C, Krishna Kumar N, Venugopal K R, Patnaik L M
2013 International Journal of Data Mining & Knowledge Management Process  
As BGCAP is based on Bidirectional pattern growth, it performs only (log n+1) levels of recursion for mining n Web sequential patterns.  ...  In this paper, we propose a novel algorithm called Bidirectional Growth based mining Cyclic behavior Analysis of web sequential Patterns (BGCAP) that effectively combines these strategies to generate prefetching  ...  These sequential pattern mining algorithms are used for mining Web access patterns from Web logs.  ... 
doi:10.5121/ijdkp.2013.3204 fatcat:4l2ofdk4rjdptlx4s6uicnob5y

LinkSelector

Xiao Fang, Olivia R. Liu Sheng
2004 ACM Transactions on Internet Technology  
relationships that can be discovered from a web log.  ...  We define a new and important research problem -hyperlink selection: selecting from a large set of hyperlinks in a given website a limited number of hyperlinks for inclusion in a portal page.  ...  Web usage mining [Srivastava et al. 2000 ] is the process of applying data mining techniques to discover web access patterns from a web log.  ... 
doi:10.1145/990301.990306 fatcat:jgtw6vyrg5c3hddhneeznrr2sy

A Framework for an Efficient Knowledge Mining Technique of Web Page Reorganisation using Splay Tree

Ananthi Sheshasaayee, V. Vidyapriya
2015 Indian Journal of Science and Technology  
Background/Objectives: Web Usage Mining (WUM) is one of the categories of web mining that identifies user patterns of web data, with the help of knowledge acquires from web logs.  ...  Pre-processed log file data are used for further process of web usage mining.  ...  The web usage mining is the process of extracting interesting patterns in web access logs 2, 3 . It is also known as Web Log Mining.  ... 
doi:10.17485/ijst/2015/v8i29/83327 fatcat:h3woplx72rcmzgdnuznhtym4s4

Similarity Matrix Based Session Clustering by Sequence Alignment Using Dynamic Programming

K. Duraiswamy, V. Valli Mayil
2008 Computer and Information Science  
As such, the hidden knowledge obtained from mining, web server traffic data and user access patterns ( called Web Usage Mining), could be directly used for marketing and management of E-business, E-services  ...  Every request of Web site or a transaction on the server is stored in a file called server log file.  ...  Data mining from web access log is a process consisting of three consecutive steps: (1) data gathering and pre-processing for filtering and formatting the log entries,(2) pattern discovery which consists  ... 
doi:10.5539/cis.v1n3p66 fatcat:4cddadasqvd3hpzqpemds46ymy

Web Personalization Based on Enhanced Web Access Pattern using Sequential Pattern Mining

Kuldeep Singh Rathore
2016 International Journal Of Engineering And Computer Science  
Web usage mining is planned to operate on web server logs; logs contain client's behavior towards browsing patternon web which is very useful for the web recommendation.  ...  In this paper, we tend to propose a recommendation approach that recommends a listing of pages based mostly upon client's historic pattern (recorded within the web log).  ...  He also proposed a comprehensive algorithm for sequential pattern mining GSP [18] to lessen down the search space for finding frequent sequences.  ... 
doi:10.18535/ijecs/v5i7.08 fatcat:jawp4ndgcfcqlakupicmzwtahe

Data Mining: Web Data Mining Techniques, Tools and Algorithms: An Overview

Muhammd Jawad Hamid Mughal
2018 International Journal of Advanced Computer Science and Applications  
Different mining techniques are used to fetch relevant information from web (hyperlinks, contents, web usage logs). Web data mining is a sub discipline of data mining which mainly deals with web.  ...  All these types use different techniques, tools, approaches, algorithms for discover information from huge bulks of data over the web.  ...  WebViz is a tool that is used for statistical analysis of web access logs.  ... 
doi:10.14569/ijacsa.2018.090630 fatcat:szpscjf6rrhbhgx43ktrdx4fsi

COMPARISON OF DECISION AND RANDOM TREE ALGORITHMS ON A WEB LOG DATA FOR FINDING FREQUENT PATTERNS

A.Jameela .
2014 International Journal of Research in Engineering and Technology  
Web usage mining is the process of extracting knowledge from the web log data. Web log data is classified into three, namely Client Log, Proxy Log and Web Server Log.  ...  Web mining is the process of analyzing and extracting useful knowledge from web data. Web mining is divided into three categories namely web content mining, web structure mining and web usage mining.  ...  She is doing her project in Web Usage Mining for Finding Knowledge from Web Log Data. Mrs.  ... 
doi:10.15623/ijret.2014.0319029 fatcat:grkeqmioyzh3no6n5pjk4rucjy

Domain Based Prefetching in Web Usage Mining

Dr. M., Mrs. V.
2014 International Journal of Advanced Computer Science and Applications  
DoP presents the user with several generic Domains with the top visited web requests in each Domain, which are retrieved from the web log file for future web access.  ...  technique of General Access Pattern Tracking.  ...  Sequential web access pattern mining as in [20] stores frequent sequential web access patterns in a Pattern tree.  ... 
doi:10.14569/ijacsa.2014.050610 fatcat:a4o4dvy4vrcdxew3u7ysa6mqui

Optimizing the Web Cache Performance by Clustering based Pre-Fetching Technique using Modified ART1

V. Sathiyamoorthi, V. Murali Bhaskaran
2012 International Journal of Computer Applications  
Web caching is a technique which is used to reduce user perceived latency when user is accessing the Web pages.  ...  Web pre-fetching is a scheme where Web pages are pre-fetched into the intermediate server (proxy) cache before user accessing it.  ...  The Web access logs serve as a substantial source of information about users" Web access patterns.  ... 
doi:10.5120/6225-8190 fatcat:vxodwsc7s5hw7lavo6lnhr2h6e

Business Intelligence: A Rapidly Growing Option through Web Mining

Priyanka Rahi
2012 IOSR Journal of Computer Engineering  
To this end, the chapter provides an introduction to the field of Web mining and examines existing as well as potential Web mining applications applicable for different business function, like marketing  ...  Suggestions for improving information technology infrastructure are made, which can help businesses interested in Web mining hit the ground running.  ...  Jawahar Thakur for his invaluable advice and support. I also owe the deepest gratitude to my parents for their deep love. As a daughter, I am really profoundly indebted to them.  ... 
doi:10.9790/0661-0612229 fatcat:ot6sfu4nufbkxb6l2jsafk3pwm
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