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Web Search Customization Approach Using Redundant Web Usage Data Association and Clustering
2016
International Journal of Information Engineering and Electronic Business
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This paper proposes a web search customization approach (WSCA) using redundant web usage data association and hierarchal clustering. ...
The massive growth of web consists of huge number of redundant information in related to some context. ...
The fuzzy approach performs the customization based on the user profile information. ...
doi:10.5815/ijieeb.2016.04.05
fatcat:ar4lowlzgvaxndle3vvfeoqcvu
Web mining in soft computing framework: relevance, state of the art and future directions
2002
IEEE Transactions on Neural Networks
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The limitations of some of the existing web mining methods and tools are enunciated, and the significance of soft computing (comprising fuzzy logic (FL), artificial neural networks (ANNs), genetic algorithms ...
This paper summarizes the different characteristics of web data, the basic components of web mining and its different types, and their current states of the art. ...
Here, an algorithm called competitive agglomeration of relational data (CARD) for clustering user sessions is described, which considers the structure of the site and the URLs for computing the similarity ...
doi:10.1109/tnn.2002.1031947
pmid:18244512
fatcat:a2ea5nfnczgjlpwsbwe6ebt5hi
E-Service Intelligence: An Introduction
[chapter]
2007
Studies in Computational Intelligence
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mining, online searching/data retrieval, and various web-based support systems. ...
Moreover, it demonstrates how adaptations of existing computational intelligent technologies benefit from the development of e-service applications in online customer decision, personalized services, web ...
Krishnapuram et al. (2001) introduced the notion of uncertainty in web usage mining, discovering clusters of user session profiles using robust fuzzy algorithms. ...
doi:10.1007/978-3-540-37017-8_1
fatcat:wdrvcikn5fagbit4fkp7ma6nvm
COMPARISON OF WEB - MINING TECHNIQUES - A SURVEY PAPER
2020
Zenodo
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Mining is a technique of extracting actionable information from the big pile of data. This paper surveys and compares the various web mining techniques which is an emerging field of data mining. ...
Web Mining cab be used to categorization and clustering techniques to construct comprehensive customer profiles. ...
It main focus is to extract useful and remarkable patterns from usage data such as server logs, client browser logs, proxy server logs, cookies, user sessions, registration data, mouse clicks, user queries ...
doi:10.5281/zenodo.3608621
fatcat:43gdjhwxpjbrtiruiv6sst5n6i
Business Intelligence from Web Usage Mining
[article]
2004
arXiv
pre-print
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Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the Web. ...
A hybrid evolutionary fuzzy clustering algorithm is proposed in this paper to optimally segregate similar user interests. ...
Web mining is the extraction of interesting and useful knowledge and implicit information from atrifacts or activity related to the WWW [23] [14] . ...
arXiv:cs/0405030v1
fatcat:kwdiyea3s5ccddwtwm2i6uvetu
Analysis of Online User Behavior Detection Methodologies and its Evaluation
2017
International Journal of Computer Applications
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The principal component analysis is the feature extraction method used to detect and differentiate normal and anomalous user behavior. ...
With the increasing use of internet, users are accessing information and services easily through various media like social communication, multimedia content, online shopping and banking services etc. ...
Web log file stores web site navigation information of user and this log file is studied to analyze the user behavior using data mining techniques. ...
doi:10.5120/ijca2017913126
fatcat:skuhlriwrzep7c4n63yc7oixue
Business Intelligence from Web Usage Mining
2003
Journal of Information & Knowledge Management
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A hybrid evolutionary fuzzy clustering algorithm is proposed to optimally segregate similar user interests. ...
Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the Web. ...
Web mining is the extraction of interesting and useful knowledge and implicit information from artefacts or activity related to the WWW (Cooley, 2000; Kosala & Blockeel, 2000) . ...
doi:10.1142/s0219649203000565
fatcat:ckrpf62s3ffxzaoazveymqd7p4
Uncertainty Issues and Algorithms in Automating Process Connecting Web and User
[chapter]
2008
Lecture Notes in Computer Science
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We show these uncertainty issues are connected with Web content mining and user preference mining. ...
We are interested in replacing human processing of web resources by automated processing. ...
These profiles may be created as the clusters of users or manually by an expert in the field (a hotel-keeper in our example). ...
doi:10.1007/978-3-540-89765-1_13
fatcat:houmg2hzpzcwroq4khmyurhj2a
A banner recommendation system based on web navigation history
2011
2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)
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We address the problem of selecting a banner advertisement, based on the profile of the online user. The profile consists of the set of webpages opened by the online user, optionally clustered. ...
We present two possible transformations that we use in order to train the classifier. ...
Clustering Of Web Pages As mentioned in Section II-A, it is possible to generate a profile with an arbitrary number of topics using clustering techniques on the contents of web pages. ...
doi:10.1109/cidm.2011.5949437
dblp:conf/cidm/GiuffridaRTZ11
fatcat:yy6c5drp7fdd7fy53yct7nd43m
Intelligent Web Information Retrieval based on User Navigational Patterns
2015
International Journal of Computer Applications
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In this context Web usage mining can provide valuable contributions in terms of ideas and methods, as it fissures useful knowledge from the pattern of user interactions with the Web. ...
The foremost mission of any information retrieval algorithm is the efficient extraction of user interests. ...
The enhanced fuzzy clustering method that used in web servers is presented in, WUMFCITG [25] , is an efficient technique which examines the data collected from web servers and identifies the clusters ...
doi:10.5120/19186-0673
fatcat:rfwuobcjnnhe7odyfyfb5dbqum
An Application of Session Based Clustering to Analyze Web Pages of User Interest from Web Log Files
2010
Journal of Computer Science
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Approach: The usage interest on the web pages in various sessions was partitioned into clusters such that sessions with "similar" interest were placed in the same cluster using expectation maximization ...
Results: The approach results in the generation of usage profiles and automatic identification of user interest in each profile. ...
Clustering of relational data using fuzzy approaches has been implemented using Fuzzy C-Medoids (FCMdd) and Robust Fuzzy C-Medoids (RFCMdd) in (Krishnapuram et al., 2001) . ...
doi:10.3844/jcssp.2010.785.793
fatcat:ioqteajtcvd75kb5hroa5dtsl4
Data Mining based Soft Computing Skills towards Prevention of Cyber Crimes on the Web
2015
International Journal on Recent and Innovation Trends in Computing and Communication
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and detect the Abnormal and typical behavior of terrorist by using and applying various algorithms of Data Mining and the textual content of terror related web sites and finally profile is give and used ...
scope and verities of large range of web based Applications, with reference to the soft computing Technology which combines with Fuzzy Logic, Artificial Intelligence, Neural networks, and genetic Algorithm ...
Typical Web Intelligence applications include but not limited to online text classification, Web document clustering, Web recommender for e-commerce, Web usage profiling and similar knowledge discovery ...
doi:10.17762/ijritcc2321-8169.150373
fatcat:m4syfkhfxrhqhdgt5vhjol7cuu
Mining Web Log using Fuzzy C Mean for Navigational Pattern Prediction
2014
International Journal of Computer Applications
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These web log files are analyzed for the purpose of pattern extraction which is useful, this technique of data mining commonly known as web usage mining. ...
In my research work I have implemented the same phases of web usage mining i.e. pre-processing of web log and Fuzzy C -Mean algorithm is applied on the knowledge gained and then analyzed for users navigation ...
Fuzzy C-Means is an algorithm of clustering which uses the concept of categorizing the data in two or more clusters that belongs to the same group as generated in Fuzzy Logics. ...
doi:10.5120/18256-9373
fatcat:rxthkz4dafaprnp7fuolc3m7ci
Study on Search Engine Optimization Technique in Health Care System using Cloud Data
2016
Research Journal of Applied Sciences Engineering and Technology
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This study focuses health care search Engine system efficiency; Using C-means with Neuro-Fuzzy System, the search engine based on intelligence provides improved services in the health care when compared ...
Normally Search Engine System will work, based on web crawling, text classification and information retrieval. ...
user using FCM cluster. ...
doi:10.19026/rjaset.13.3003
fatcat:bgdyxobxc5cblppuexlrlntn5a
A Review: Study of various Ant Colony Optimization Techniques
IJARCCE - Computer and Communication Engineering
2015
IJARCCE
IJARCCE - Computer and Communication Engineering
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Web usage mining attempts to find out useful facts from the secondary data obtained from the communications of the users with the Web. ...
The paper concerns some Ant Colony Clustering and optimization technique for Web server log file to analyze user's interest, which is useful for giving suggestion about specific user's interest. ...
LumberJack proposed by Chi et al [10] builds up user profiles by combining both user session clustering and traditional statistical traffic analysis using K-means algorithm. ...
doi:10.17148/ijarcce.2015.4262
fatcat:cd5pbpe4kncy3mrzz2ixknqj2y
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