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Semantic Web Usage Mining to develop Prediction System

Nu WarHsan
2014 International Journal of Computer Applications  
In this paper, the prediction system is developed which extracts the key web objects from web log file and apply a semantic web to mine actionable intelligence.  ...  Web usage mining has been applied effectively in prediction system to overcome deficiencies of traditional approaches.  ...  ACKNOWLEDGMENTS This research paper is made possible through the help and support from everyone, including: parents, teachers, family, and friends and in essence, all sentient beings.  ... 
doi:10.5120/18815-0414 fatcat:ld5wldsuujdf7cwjfvuuq6u3ti

Semantic data mining: A survey of ontology-based approaches

Dejing Dou, Hao Wang, Haishan Liu
2015 Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)  
We investigate why ontology has the potential to help semantic data mining and how formal semantics in ontologies can be incorporated into the data mining process.  ...  At the same time, the proliferation of knowledge engineering has enriched the family of domain knowledge, especially formal semantics and Semantic Web ontologies.  ...  Ontology-based association rule mining bridges the semantic gap of the domain knowledge and the association rule mining algorithm.  ... 
doi:10.1109/icosc.2015.7050814 dblp:conf/semco/DouWL15 fatcat:uck4bd3gpnf5bgb4jike6xm5ne

Fuzzy cognitive map approach to web-mining inference amplification

K Lee
2002 Expert systems with applications  
The ®rst phase is to apply the association rule mining, and the second phase is to transform the association rules into FCM-driven causal knowledge bases.  ...  The association rule mining is what we adopt as the web-mining technique to prove the validity of the proposed WEMIA. The main recipe of the proposed WEMIA is the three-phased inference ampli®cation.  ...  Web-mining is sharply different from data mining in that the former is based on the ill-structural web documents with little machine-readable semantic.  ... 
doi:10.1016/s0957-4174(01)00054-9 fatcat:lcvzil2nj5ehdivj7his4beegq

Ontology in association rules

Inhaúma Ferraz, Ana Cristina Garcia
2013 SpringerPlus  
On the other hand, important association rules may be overlooked owing to the setting of the support threshold, which is a very subjective metric, but rooted in most data mining techniques.  ...  Although most data mining techniques, such as the use of association rules, may substantially reduce the search effort over large data sets, often, the consequential outcomes surpass the amount of information  ...  Acknowledgment We would like to thank CNPq for the grant support for this research.  ... 
doi:10.1186/2193-1801-2-452 pmid:24083103 pmcid:PMC3786067 fatcat:tnxav7nujrdpjixx5go2snvxpa

Applying Dynamic Causal Mining in Retailing

Yi Wang
2008 POLIBITS Research Journal on Computer Science and Computer Engineering With Applications  
This paper suggests that applying association mining techniques can further improve the dealing of information overload in a web oriented retailing environment.  ...  The Semantic Web will provide a foundation for such a solution. However, semantics only provide a way of mapping the content of a web to user defined annotations.  ...  MINING TECHNIQUES The ontologies developed for semantic web are based on user experience.  ... 
doi:10.17562/pb-37-7 fatcat:ytokixu4uvfgfa64yerpfsdx7y

Mining Generalized Associations of Semantic Relations from Textual Web Content

Tao Jiang, Ah-hwee Tan, Ke Wang
2007 IEEE Transactions on Knowledge and Data Engineering  
In this paper, we present a two-step procedure to mine generalized associations of semantic relations conveyed by the textual content of Web documents.  ...  Then, a novel generalized association pattern mining algorithm (GP-Close) is applied to discover the underlying relation association patterns on RDF metadata.  ...  During the association rule mining stage, relation association patterns are discovered from RDF metadata extracted from text.  ... 
doi:10.1109/tkde.2007.36 fatcat:jkxp3oiotbe2vmmegagu7ekpuu

An Efficient Medical Content Based Image Retrieval with Lenient Relevance Feedback

R I. Heaven Rose, A C. Subajini
2018 International Journal of Engineering & Technology  
To reduce the amount of strong rules we offer two rule lessening techniques related to redundancy detection and confidence quantization.  ...  Here we suggest an algorithm to mine lenient association rules from the group of suggestion i.e. image weight value given by the user.  ...  To reduce the ruleset and also reduce the search time two rule reduction techniques are used related to rule confidence and redundant rule detection.  ... 
doi:10.14419/ijet.v7i3.6.14965 fatcat:2nihgsmjcfdnbncb6hrjn77u4q

Semantic spam filtering from personalized ontologies

Victoria Eyharabide, Analía Amandi
2008 Journal of Web Engineering  
The main drawback with previous anti-spam filters is that they are based only on 1) the syntactical features of words lacking semantic analysis, or 2) on what the majority of users regard as spam without  ...  Our innovative email user profile is based not only on some common user profiling techniques but also on the knowledge contained in a domain ontology.  ...  We can conclude that although there have been considerable efforts in selecting optimal rule refinements, the current state of the art in rule base validation and refinement reveals that there is no generic  ... 
dblp:journals/jwe/EyharabideA08 fatcat:yzz36h6unjdvdizop3rq5dtre4

Association Rule Mining Based Extraction of Semantic Relations Using Markov Logic Network

Karthikeyan K, Karthikeyani V
2014 International journal of Web & Semantic Technology  
In a way, relations describe the linguistics relationships among the entities involve that is beneficial for a higher understanding of human language.  ...  The relation can be identified from the result of concept hierarchy extraction. The existing ontology learning process only produces the result of concept hierarchy extraction.  ...  ARSRE (ASSOCIATION RULE MINING BASED SEMANTIC RELATION EXTRACTION) ARSRE is an Association Rule Mining Based Semantic Relation Extraction.  ... 
doi:10.5121/ijwest.2014.5403 fatcat:ntxcpkrrarfdbkkeainy6mk4g4

Finding association rules in linked data, a centralization approach

Reza Ramezani, Mohammad Saraee, Mohammad Ali Nematbakhsh
2013 2013 21st Iranian Conference on Electrical Engineering (ICEE)  
Association Rules Mining (ARM) is a data mining technique which aims to find interesting patterns and rules from a large set of data.  ...  Linked Data is used in the Web to create typed links between data from different sources.  ...  MINING ASSOCIATION RULES FROM SEMANTIC WEB DATA This paper concentrates on the problem of mining ARs from Linked Data.  ... 
doi:10.1109/iraniancee.2013.6599550 fatcat:kz4bjkquonbhreuu2niyafztgq

Web Mining Research Issues and Future Directions – A Survey

D. Jayalatchumy
2013 IOSR Journal of Computer Engineering  
The survey on data mining technique is made with respect to Clustering, Classification, Sequence Pattern Mining, Association Rule Mining and Visualization.  ...  This paper is a work on survey on the existing techniques of web mining and the issues related to it. The World Wide Web acts as an interactive and popular way to transfer information.  ...  More research work need to be done on the web mining domain as it will rule the web in the near future.  ... 
doi:10.9790/0661-1432027 fatcat:sst2h6njivgizlma5ugwg35lnm

Applying Association Rules For Web Services Categorization

Shailja Sharma, Shalini Batra
2010 International Journal of Computer and Electrical Engineering  
RELATED WORK The work on association rule mining began with the development of the Apriori algorithm [4] , and was further modified and extended.  ...  We propose an approach of Web Service classification where text mining and classification of WSDL (Web Service Description Language) documents is done based on association rules i.e. association rules  ... 
doi:10.7763/ijcee.2010.v2.178 fatcat:gke6oc6vdrb5zhgv3s7jwjdx3e

Formal Concept Analysis in Knowledge Discovery: A Survey [chapter]

Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene
2010 Lecture Notes in Computer Science  
As a case study, we zoom in on the 140 papers on using FCA in knowledge discovery and data mining and give an extensive overview of the contents of this literature.  ...  In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We collected 702 papers published between 2003-2009 mentioning Formal Concept Analysis in the abstract.  ...  Acknowledgements Jonas Poelmans is aspirant of the ''Research Foundation -Flanders" or "Fonds voor Wetenschappelijk Onderzoek -Vlaanderen''.  ... 
doi:10.1007/978-3-642-14197-3_15 fatcat:e2d6pofivza6pcyn72m3tjrbda

Review and Comparative Analysis of Topic Identification Techniques

Deepti Sehrawat, Maharshi Dayanand University, Rohtak, Haryana (India)
2019 International Journal of Advanced Trends in Computer Science and Engineering  
Existing solutions include text clustering, latent semantic approach, probabilistic latent semantics approach, latent Dirichlet allocation approach, association rule-based approaches, document clustering  ...  This area is of great interest among researchers as its applications in the real world are very wide. This paper presents a review of topic identification techniques.  ...  Association rule mining is then applied to the transaction set that extracts the patterns.  ... 
doi:10.30534/ijatcse/2019/71832019 fatcat:g46lyzxg7jcehlci4r62nxbtpe

Web Pattern Mining using ECLAT

Poonam P., Emmanuel M.
2017 International Journal of Computer Applications  
This data is being use further for the efficient association rule mining using Eclat Algorithm which is weaved for the vertical transactions based scheme.  ...  The search engine which helps the user to explore the web is known as Web Crawler. In web crawlers the crawled data can be used to find missing links, community detection in complex networks.  ...  The association rules encourage in building valuable novel relations. Frequent itemset mining algorithms like Eclat facilitate support calculation and build confidence in web information.  ... 
doi:10.5120/ijca2017916009 fatcat:j5z23svcqzgsjkq47swzvzeree
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