10,082 Hits in 3.3 sec

On the Use of Constrained Associations for Web Log Mining [chapter]

Hui Yang, Srinivasan Parthasarathy
2003 Lecture Notes in Computer Science  
In recent years there has been an increasing interest and a growing body of work in web usage mining as an underlying approach to capture and model the behavior of users on the web for business intelligence  ...  In this paper, we present a new approach for mining web logs. Our approach discovers association rules that are constrained (and ordered) temporally.  ...  Again like the sequential pattern approach, these approaches also suffer from the problem of generating an inordinately large number of rules which affects the scalability of online recommendation systems  ... 
doi:10.1007/978-3-540-39663-5_7 fatcat:ekxmmmwvkzaobpf7e6k5k2hwge

Semantically Enriched Web Usage Mining for Predicting User Future Movements

Suresh Shirgave, Prakash Kulkarni
2013 International journal of Web & Semantic Technology  
The experimental results show that the SWUM generates accurate recommendations with integration of usage, semantic data and Web site structure.  ...  For discovering interesting and frequent navigation patterns from Web server logs many Web usage mining techniques have been applied.  ...  [13] proposed Sequential Web Access-based Recommender System (SWARS) that applies sequential access pattern mining to identify sequential Web access patterns with high frequencies.  ... 
doi:10.5121/ijwest.2013.4405 fatcat:zvlils2cn5c5hh5xh4cv5xwud4

Prediction of users' future requests using neural network

Seyedeh Foroozan Rashidi, Ali Harounabadi, Mashaalah Abasi Dezfouli
2012 Management Science Letters  
In this paper, we propose an approach for classification of users' navigation patterns and prediction of users' future requests.  ...  Users' profiles are constructed based on Web log server files and one of clustering methods is implemented to users' profiles for assigning navigation patterns.  ...  Web Log Preprocessing Web log preprocessing aims to reformat the original web logs to identify all web access sessions.  ... 
doi:10.5267/j.msl.2012.06.007 fatcat:6dwt6soxube2pgrbcxmzncgpna

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.  ...  Web sequential patterns are important for analyzing and understanding users behaviour to improve the quality of service offered by the World Wide Web.  ...  ., [22] designed an intelligent web recommender system known as Sequential Web Access based Recommender System (SWARS) for sequential access pattern mining.  ... 
doi:10.5121/ijdkp.2013.3204 fatcat:4l2ofdk4rjdptlx4s6uicnob5y

An Effective Hybrid Recommender Using Metadata-based Conceptualization and Temporal Semantics

M. Venu Gopalachari, Porika Sammulal
2016 International Journal of Recent Contributions from Engineering, Science & IT  
The experimental results shown the effectiveness of the proposed framework when compared to the existing modern recommenders also indicate that the proposed model can resolve a cold start problem yet accurate  ...  This framework also includes an online process that identifies the conceptual drift of the usage dynamically.  ...  First layer is about the construction of domain knowledge by making use of metadata. Second layer is finding sequential access patterns from the usage log using the domain knowledge.  ... 
doi:10.3991/ijes.v4i3.5943 fatcat:jaq5o3ir7neb3pizy5yxl3nube

Semantically Enriched Web Usage Mining For Personalization

Suresh Shirgave, Prakash Kulkarni, José Borges
2014 Zenodo  
This approach is a combination of the fields of Web Usage Mining and Semantic Web.  ...  For discovering interesting and frequent navigation patterns from Web server logs many Web usage mining techniques have been applied.  ...  Chang [12] proposed Sequential Web Access-based Recommender System (SWARS) that applies sequential access pattern mining to identify sequential Web access patterns with high frequencies.  ... 
doi:10.5281/zenodo.1091582 fatcat:youy4hwgs5dozbxjkiqkv53fpq

An Efficient Web Recommendation System using Collaborative Filtering and Pattern Discovery Algorithms

R. Suguna, D. Sharmila
2013 International Journal of Computer Applications  
In this paper web usage mining is considered as the major source for web recommendation in association with Collaborative filtering approach, association rule mining and Markov model to recommend the web  ...  Web recommendation is one of the techniques of web personalization, which recommends web pages to the user based on the previous browsing history.  ...  [17] proposed an intelligent web recommender system namely SWARS (Sequential Web Access-based Recommender System) that uses a sequential pattern mining technique for predicting the next web pages.  ... 
doi:10.5120/11945-7755 fatcat:5xxpvykkbbed5kbztyuov4tyjm

Enhancing Proxy Server cache Management using Log Analysis and Recommendations

Madhubala Chaurasia, C.S Satsangi
2015 International Journal of Computer Applications  
Using these rules the system recommends the possible user pages for prefetching.  ...  In this technique the proxy log data is consumed for performing navigation pattern analysis.  ...  overall web access log data.  ... 
doi:10.5120/19796-1575 fatcat:esmjh35v5zer5lqwkoi62y4msm

A Recommender System for the Web: Using User Profiles and Machine Learning Methods

Samane Rajabi, Ali Harounabadi, Vahe Aghazarian
2014 International Journal of Computer Applications  
Web development without an integrated structure makes lots of difficulties for users.  ...  Recently, web browsing techniques have been widely used for personalization.  ...  Vahe Aghazarian for their contributions on this work.  ... 
doi:10.5120/16840-6694 fatcat:ebxrabjheja65dbdeqgpxelibm

Improving adaptation in web-based educational hypermedia by means of knowledge discovery

Andrej Krištofič, Mária Bieliková
2005 Proceedings of the sixteenth ACM conference on Hypertext and hypermedia - HYPERTEXT '05  
We also describe a process of recommendation based on knowledge discovery and present an architecture of a web-based system, which uses proposed approach to improve adaptation.  ...  In this paper we present techniques for data mining, which can be used to discover knowledge about students' behavior during learning, as well as techniques, which take advantage of such knowledge to recommend  ...  They are often used in web server logs analysis. Traversal patterns form the base for recommending relevant concepts in our approach.  ... 
doi:10.1145/1083356.1083392 dblp:conf/ht/KristoficB05 fatcat:rai3lybbczbrpacrkll67utx7y

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  ...  We are familiar with terms like e-commerce, e-governance, e-market, e-finance, e-learning, e-banking etc. for an organization it is new challenge to maintain direct contact with customers because of the  ...  I hope I will make them proud of my achievements, as I am proud of them.  ... 
doi:10.9790/0661-0612229 fatcat:ot6sfu4nufbkxb6l2jsafk3pwm

Mining web content usage patterns of electronic commerce transactions for enhanced customer services

Sylvanus A. Ehikioya, Jinbo Zeng
2021 Engineering Reports  
A successful business intelligence solution can help organizations improve the quality and speed of their decision-making processes by analyzing the consolidated information collected from their websites  ...  All requests are recorded in the Web access log.  ...  An example of using path analysis for recommendation systems is to predict HTTP requests, 99 which is based on path profiles and recommends an URL with a high probability to the user before the user  ... 
doi:10.1002/eng2.12411 fatcat:yp57yt6jkvgv7h6oz6vvzxk4fm

Process of Web Usage Mining to find Interesting Patterns from Web Usage Data

Ketul Patel, Dr. A. R. Patel
It supports to know frequently accessed pages, predict user navigation, improve web site structure etc. In order to apply Web Usage Mining, various steps are performed.  ...  Web Usage Mining is the application of data mining techniques to discover the useful and interesting patterns from web usage data.  ...  Another approach is to use cookies for identifying the visitors of a web-site by storing a unique ID.  ... 
doi:10.24297/ijct.v3i1c.2767 fatcat:ccojsiqabbcnvmsstpmwn2mtte

Semantic Formalization of Cross-Site User Browsing Behavior

Julia Hoxha, Sudhir Agarwal
2012 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology  
The objective of our approach is to recommend accurate, yet diverse resources that span across various domains.  ...  Relevance Model The first step of our recommendation approach consists in finding which resources are relevant for a user to visit next, given that she is currently accessing a particular Web resource.  ... 
doi:10.1109/wi-iat.2012.232 dblp:conf/webi/HoxhaA12 fatcat:z7gbwc2qujffdps3jyz566r4z4

An Optimized User Behavior Prediction Model Using Genetic Algorithm on Mobile Web Structure

2015 KSII Transactions on Internet and Information Systems  
This paper presents an efficient method for mining optimized user behavior prediction model using genetic algorithm on mobile web structure.  ...  The suitable time interval table that split the huge data logs is obtained using genetic algorithm.  ...  by discovering the integrated log files and reporting the accurate search results.  ... 
doi:10.3837/tiis.2015.05.023 fatcat:7xfvzdatsng6rpktrt7hleapie
« Previous Showing results 1 — 15 out of 10,082 results