26,697 Hits in 3.5 sec

Constraint based frequent pattern mining for generalized query templates from web log

RV Pujeri, GM Karthik
2011 International Journal of Engineering, Science and Technology  
Integrating two techniques, a new mechanism is developed known as web log mined using CBFP mining algorithm (Constraint Based Frequent Pattern mining) on web log for generalized queries with reasonable  ...  The purpose of web-log mining is to improve web performance by utilizing the mined pattern.  ...  We run the algorithm with generated synthetic logs referred as training log data, to check the effectiveness of the templates mined from the training log.  ... 
doi:10.4314/ijest.v2i11.64551 fatcat:hvz4pd2zkzhjvosampn6ovusdu

Mining generalized query patterns from web logs

C.X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, Hongjiang Zhang
Proceedings of the 34th Annual Hawaii International Conference on System Sciences  
We propose a data-mining approach that produces generalized query patterns or templates from the raw user logs of a popular commercial knowledge-based search engine that is currently in use.  ...  Knowledge about user queries discovered from user logs can improve the performance of the search engine.  ...  Conclusions and Future Work In this paper we describe a new data-mining algorithm that discovers generalized query patterns or templates from large, raw user logs of a commercial knowledgebased search  ... 
doi:10.1109/hicss.2001.926534 dblp:conf/hicss/LingGZQZ01 fatcat:suvir6p7tfgvphe4y7icmx5vam


2002 International journal of pattern recognition and artificial intelligence  
We propose a data-mining approach that produces generalized query patterns (with generalized keywords) from the raw user logs of the Microsoft Encarta search engine (  ...  Keywords: web log mining, web mining, data mining on the Internet, search engine improvement.  ...  Our data mining starts from this query list, and produces generalized query patterns, which summarize similar queries answered to the same article.  ... 
doi:10.1142/s0218001402002179 fatcat:zrwp3rllpvho5itqkfmc4lfrsu

Mining Web Logs for Actionable Knowledge [chapter]

Qiang Yang, Charles X. Ling, Jianfeng Gao
2004 Intelligent Technologies for Information Analysis  
In this paper, we present three examples of actionable Web log mining. The first method is to mine a Web log for Markov models that can be used for improving caching and prefetching of Web objects.  ...  Finally, we present an example of applying Web query log knowledge to improving Web search for a search engine application.  ...  Finally, we present an approach to mining web query logs from a web search engine to relate the semantics of queries to their targets.  ... 
doi:10.1007/978-3-662-07952-2_8 fatcat:2buxbvqkqzee3bqwloabtlberm

Integrating Web Conceptual Modeling and Web Usage Mining [chapter]

Rosa Meo, Pier Luca Lanzi, Maristella Matera, Roberto Esposito
2006 Lecture Notes in Computer Science  
We consider rich XML Web logs -called conceptual logs -that are generated by Web applications designed with the WebML conceptual model and developed with the WebRatio CASE tool.  ...  We apply a data mining language (MINE RULE) to conceptual logs in order to identify different types of patterns, such as: recurrent navigation paths, most frequently visited page contents, and anomalies  ...  These queries can be conceived as a sort of template that can be used to gather descriptive patterns from Web logs useful to solve some frequent, specific or critical situations.  ... 
doi:10.1007/11899402_9 fatcat:lnccpafwebcprkcepqkjgxm6be

Adaptive Query Recommendation Techniques for Log Files Mining to Analysis User's Session Pattern

Durga Choudhary, Subhash Chandra
2016 International Journal of Computer Applications  
This paper presents the user's behavioral search pattern by the query log files.  ...  System log files are very important part of any web application. System log files serves as the purpose of directory in various aspect of knowledge mining.  ...  ACKNOWLEDGMENTS This research paper is made possible through the help and support from everyone especially, please allow us to dedicate our acknowledgment of gratitude toward the Department of Computer  ... 
doi:10.5120/ijca2016908085 fatcat:ugjknb7vnfcrrjgusfpoqz553e

Warehousing and mining Web logs

Karuna P. Joshi, Anupam Joshi, Yelena Yesha, Raghu Krishnapuram
1999 Proceedings of the second international workshop on Web information and data management - WIDM '99  
While there are many existing tools that generate fixed reports from web logs, they typically do not allow ad-hoc analysis queries.  ...  This is populated both from web logs, as well as the results of mining web logs. We also present a web based ad-hoc tool for analytic queries on the warehouse.  ...  MINING WEB LOGS To mine knowledge from the web logs we used two data mining techniques, namely Clustering and Association Rules generation.  ... 
doi:10.1145/319759.319792 dblp:conf/widm/JoshiJYK99 fatcat:xibx7oucw5bdzdjooav3ouurvq

Implicit Measures of User Interests through Country and Predicting Users' Future Requests in WWW

Pragya Rajput, Joy Bhattacharjee, Roopali Soni
2013 International Journal of Computer Applications  
In this paper we proposed a framework of web log mining to implicit measures of user interests through Country and predicting users" future requests in WWW.  ...  Web personalization is that the method of customizing an internet website to the wants of specific users, taking advantage of the information noninheritable from the analysis of the user's guidance behaviour  ...  WEB USAGE MINING-Usage Mining [8] is the application of data mining techniques to discover usage patterns from web data.  ... 
doi:10.5120/12346-8632 fatcat:g6kujlc6azevbi6ibgsqf3a5xy

Query Recommendation for Optimizing the Search Engine Results

Nikita Taneja, Rachna Chaudhary
2012 International Journal of Computer Applications  
Query recommendation is a method to improve search results in web. This paper presents a method for mining search engine query logs to obtain fast query recommendation on a large scale.  ...  been discovered using the modified version of an existing sequential pattern mining technique.  ...  Query Logs Query log has been a popular data source for query recommendation. The view of Web Log Mining has been an area of interest as many years.  ... 
doi:10.5120/7832-1096 fatcat:xk4t7mto65bovcvrp3mfdr2b54


2009 Issues in Information Systems  
The system keeps track of user's preferences by generating user query logs and automatically adds more search information to subsequent user queries.  ...  This paper presents an intelligent web e-catalog image retrieval system using metadata and user log.  ...  The previous query logs are accumulated and used for texture and Issues in Information Systems color mining. Figure 12 shows the outline of query log generation and mining procedure.  ... 
doi:10.48009/2_iis_2009_444-450 fatcat:ofcb733pgre5ljlmxr5arrvyym

Research on Web Log Mining to Predicting User Behavior through Session

Komal S. Raut
2018 International Journal for Research in Applied Science and Engineering Technology  
Web log files are the files which contain complete information about the users browse activities on the web server Web mining is the application of data mining techniques to discover patterns from the  ...  Web usage mining is leading research area in Web Mining concerned about the web user's behavior. Web log mining is one of the recent areas of research in Data mining.  ...  INTRODUCTION Web mining is considered as an application of data mining, it focuses on rules derived from analyzing the web. discovers a user access behavior or pattern from a web server log by data mining  ... 
doi:10.22214/ijraset.2018.7124 fatcat:uicvdh7xoba2nk3n4t24efcmmi

Improved Web Searching through Neural Network Based Index Generation [chapter]

Xiaozhe Wang, Damminda Alahakoon, Kate A. Smith
2003 Lecture Notes in Computer Science  
The Self Organizing Map is used for clustering query logs in order to identify prominent groups of user query terms for further analysis.  ...  ' interests or behaviour patterns.  ...  The clustering is used to identify web searchers' query interest patterns from web query log data and further to create pattern files identifying different characteristics from clustered data results  ... 
doi:10.1007/3-540-44863-2_16 fatcat:yzmrqpbqxjgbbpmp7gawdtwbua

Web search/browse log mining

Daxin Jiang, Jian Pei, Hang Li
2010 Proceedings of the 19th international conference on World wide web - WWW '10  
Then, we focus on four popular areas of log mining applications, namely query understanding, document understanding, query-document matching, and user understanding.  ...  Such massive search/browse log data, on the one hand, provides great opportunities to mine the wisdom of crowds and improve Web search as well as online advertisement.  ...  Query-Document Matching by Log Mining (A) Mining preference pairs: observations from eye- tracking experiments, generating training examples from search log data for learning to rank search re- sults  ... 
doi:10.1145/1772690.1772925 dblp:conf/www/JiangPL10 fatcat:zqn5szoxafcjpkjq6bkvvjnlaa

A Review on Basics in Web Mining
IJARCCE - Computer and Communication Engineering

2014 IJARCCE  
Web mining can be categorised into the following, namely, Web Content Mining (WCM), Web Structure Mining (WSM) and Web Usage Mining (WUM). These categories can be reviewed by this paper.  ...  So that, mining the web is very essential in order to retrieve the necessary information for any user.  ...  This is called as usage patterns. The WUM can be operated on the server logs to discover the usage patterns from the web.  ... 
doi:10.17148/ijarcce.2014.31117 fatcat:an4dzk4n6zetnl2buyftf73fvq

Introduction to the special topic section on mining Web resources for enhancing information retrieval

Wai Lam, Christopher C. Yang, Filippo Menczer
2007 Journal of the American Society for Information Science and Technology  
Traditionally, the information displayed on Web sites has been static. Recently, there are many Web sites offering content that is dynamically generated and frequently updated.  ...  Web has been expanding at an enormous pace. There are a variety of Web documents in different genres, such as news, reports, reviews.  ...  In "Mining Related Queries From Web Search Engine Query Logs Using an Improved Association Rule Mining Model" Shi and Yang propose a method that can automatically identify related queries from query logs  ... 
doi:10.1002/asi.20626 fatcat:hnnx7uowarampmyo7kjllnpysy
« Previous Showing results 1 — 15 out of 26,697 results