Mining interesting knowledge from weblogs: a survey

Facca, Federico Michele; Lanzi, Pier Luca

doi:10.1016/j.datak.2004.08.001

Cited by 242 publications

(106 citation statements)

References 53 publications

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“…Error status entry and bots as well as spider requests are also removed. These irrelevant data can make up to 50% of the actual data size [8]. So, cleansing this high percentage is very important to increase the efficiency of the usage-mining model.…”

Section: A) Data Cleansingmentioning

confidence: 99%

“…The number of commercial tools increased again last year and most of them are included in the Customer Relationship Management (CRM) software, which has solutions for e-commerce [8]. The majority of the tools are traffic analyzers; their function is limited to producing reports on website traffic such as: number of visits and page view time, user statics (such as user geographical regions), operating systems and web browser, and diagnostic statistics (such as "page not found").…”

Section: Tools For Web Usage Miningmentioning

confidence: 99%

“…By understanding the behaviour of web traffic, polices and strategies can be produced for web caching, network transmission, load balancing and data distribution [8].  Security Web usage mining can provide patterns that are useful in intrusion, attempted break-ins, fraud, etc.…”

Section:  System Improvementmentioning

confidence: 99%

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Application and Significance of Web Usage Mining in the 21st Century: A Literature Review

Aldekhail¹

2016

IJCTE

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Abstract-Web mining is an exciting discipline in the domain of data mining as well as in classification/clustering. Identifying the usage patterns of users is very important in utilizing the vast information available in the World Wide Web. Web usage mining entails identifying usage pattern and has many practical applications. It focuses on techniques that have the potential to predict user behaviour while the user interacts with the Web. The aim of this paper is to provide a general view on web usage mining and its importance for designers and those interested in e-commerce and website personalization. The paper explains in detail the process of web usage mining and the different techniques used for pattern discovery. Also, it illustrates the different applications and tools used for web usage mining. Finally, it explains some current issues and challenges such as privacy and scalability, which are important issues in web usage mining.. Index Terms-Privacy, usage mining, web mining, web personalization.

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Section: A) Data Cleansingmentioning

confidence: 99%

Section: Tools For Web Usage Miningmentioning

confidence: 99%

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Application and Significance of Web Usage Mining in the 21st Century: A Literature Review

Aldekhail¹

2016

IJCTE

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“…Web mining is the utilization of information mining procedures used to extricate valuable examples from the web. As indicated by examination objective, web mining can be partitioned into three unique sorts, which are web utilization mining, web content mining and web structure mining [1,2]. A.…”

Section: Introductionmentioning

confidence: 99%

A Review on Clustering Techniques

Kumar¹

2017

International Journal of Recent Advancement in Engineering &Amp; Research

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Abstract-The World Wide Web keeps on developing vault of site pages and connections at an exponential rate which makes abusing all valuable data a standing test. It has as of late an extensive variety of uses in E-trade site and E-administrations, for example, building intelligent showcasing systems, Web proposal and Web personalization. Web utilization mining is the way toward separating helpful use designs from the web information. Web personalization utilizes web utilization digging strategy for the procedure of information obtaining done by investigating the client navigational examples premium. These days, the Web is an essential wellspring of data recovery, and the clients getting to the Web are from various foundations. The use data about clients is recorded in web logs. Examining web log documents to extricate helpful examples is called Web Usage Mining. Web use mining approaches incorporate bunching, affiliation lead mining, successive example mining and so forth. This article gives a study of the accessible writing on Web utilization mining and audits the exploration and application issues in web use mining.

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“…A variety of methods focused on discovering individuals needs are achieved through personalization [6][7]. Web mining helps to retrieve such knowledge that is useful for personalization and improved services if the Web [8].…”

Section: Introductionmentioning

confidence: 99%

Web Log based Analysis of User's Browsing Behavior

Ladekar¹,

Pawar²,

Raikar³

et al. 2015

IJCA

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In The increasing craze of internet has geared a number of modern firms for using web technology in their day to day lives. A remarkable ability to analyze web log data is provided to them by the web mining technology, that are putatively full of information, but frequently lacking with meaningful information. This signifies the need to the development of an inference mechanism which is advanced and that draws out richer implication from mining's output. This paper presents a web mining algorithm that aims at amending the interpretations of the draft's output of association rule mining. This algorithm is being tremendously used in web mining. The results obtained prove robustness of the algorithm proposed in this paper.

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Mining interesting knowledge from weblogs: a survey

Cited by 242 publications

References 53 publications

Application and Significance of Web Usage Mining in the 21st Century: A Literature Review

Application and Significance of Web Usage Mining in the 21st Century: A Literature Review

A Review on Clustering Techniques

Web Log based Analysis of User's Browsing Behavior

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Mining interesting knowledge from weblogs: a survey

Cited by 242 publications

References 53 publications

Application and Significance of Web Usage Mining in the 21st Century: A Literature Review

Application and Significance of Web Usage Mining in the 21st Century: A Literature Review

A Review on Clustering Techniques

Web Log based Analysis of User&apos;s Browsing Behavior

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Product

Resources

About

Web Log based Analysis of User's Browsing Behavior