Filters








3,412 Hits in 3.6 sec

Probabilistic Semantic Web Mining Using Artificial Neural Analysis [article]

T.Krishna Kishore, T.Sasi Vardhan, N.Lakshmi Narayana
2010 arXiv   pre-print
Semantic web mining technique can provide meaningful search of data resources by eliminating useless information with mining process.  ...  With the increase of larger and larger collection of various data resources on the World Wide Web (WWW), Web Mining has become one of the most important requirements for the web users.  ...  is to add semantic annotation to Web documents in order to access knowledge instead of unstructured material, allowing knowledge to be managed in an automatic way.  ... 
arXiv:1004.1794v1 fatcat:bwmohb3zmfbkfjwn7glm2v3vwy

Applying Dynamic Causal Mining in Retailing

Yi Wang
2008 POLIBITS Research Journal on Computer Science and Computer Engineering With Applications  
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.  ...  This paper suggests that applying association mining techniques can further improve the dealing of information overload in a web oriented retailing environment.  ...  MINING TECHNIQUES The ontologies developed for semantic web are based on user experience.  ... 
doi:10.17562/pb-37-7 fatcat:ytokixu4uvfgfa64yerpfsdx7y

Predicting Customers' Behavior Using Web-Content Mining and Web-Usage Mining

Bahareh Sheykh Abbasi, Neda Abdolvand, Saeedeh Rajaee Harandi
2022 International journal of information science and management  
Therefore, this study aims to provide a model for web personalization and mining user interests using a hybrid approach of web-usage and web-content mining.  ...  So, the navigational patterns of web users and the interests of each user on web pages of a Persian website were extracted through web-usage mining and topic modeling, respectively.  ...  Acknowledgment This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.  ... 
doaj:d4911e544308471d8adb2b8df1cc0c11 fatcat:vo3ajiauhrehnklz3yoxuslpqy

Ethical aspects of web log data mining

David L. Olson
2008 International Journal of Information Technology and Management  
Because ideas are expressed as electronically recorded words, blogs can be data mined (or web mined).  ...  Web logs (blogs) are growing in use, expanding beyond a personal means to exchange and record ideas to tools that are used by organisations as forums, mechanisms for knowledge management, and for purposes  ...  Section 2 will review the mining of text data, focusing on web mining, especially as it relates to blogs. Section 3 will consider issues in web data mining.  ... 
doi:10.1504/ijitm.2008.016605 fatcat:nm2gh62nknagho2cmpfv3btlzu

Role of Data Mining in E-Payment systems [article]

Sabyasachi Pattanaik, Partha Pratim Ghosh
2010 arXiv   pre-print
In this paper we limit our discussion to data mining in the context of e-payment systems. We also mention a few directions for further work in this domain, based on the survey.  ...  Trends in data mining include further efforts towards the exploration of new application areas and methods for handling complex data types, algorithm scalability, constraint based data mining and visualization  ...  This is certainly going to be richer in semantics compared to the stateless web logs, and is easier to maintain compared to state-full web logs. • Certain important implementation parameters in retail  ... 
arXiv:1003.1816v1 fatcat:zkanww4kkzbwfantksjx6rb5ia

Web Mining for an Academic Portal: The case of Al-Imam Muhammad Ibn Saud Islamic University

Hamad Ibrahim Alomran
2014 IOSR Journal of Computer Engineering  
This paper highlights the role of web mining in building a web retrieval system to extract hidden knowledge for the Semantic Web by using association rule mining techniques to find a frequent itemset for  ...  The proposed system builds an information system in which web (data) mining in Semantic-Web technology is applied using the correlation base association rule algorithm.  ...  This paper aims to build an information system on the web based on data mining in the Semantic Web.  ... 
doi:10.9790/0661-16124956 fatcat:wu3q7kcwejbcxdmxxjzuols4te

Agents and Data Mining: Mutual Enhancement by Integration [chapter]

Chengqi Zhang, Zili Zhang, Longbing Cao
2005 Lecture Notes in Computer Science  
New data mining techniques can add to the systems dynamically in the form of agents, while the out-of-date ones can also be deleted from systems at run-time.  ...  Integrating agents into data mining systems, or constructing data mining systems from agent perspectives, the flexibility of data mining systems can be greatly improved.  ...  Acknowledgement This paper is partially supported by the Ministry of Education of China Key Project 104160 and Deakin University CRGS grant.  ... 
doi:10.1007/11492870_5 fatcat:k2u6msyr5jaznowywfobfu5xfm

Semantic Web Mining for Analyzing Retail Environment Using Word2Vec and CNN-FK

Praveen Kumar Yechuri, Suguna Ramadass
2021 Ingénierie des Systèmes d'Information  
The proposed Convolution Neural Network Fisher Kernel (CNN-FK) model is compared with the existing SVM model for analyzing retail environment in semantic web mining.  ...  Although Semantic Web analysis is largely focused on fundamental advances that are expected to make the Semantic Web a reality, there has not been much work done to demonstrate the feasibility and effect  ...  The proposed model uses word2vec model with CNN-FK for web mining in retail environment.  ... 
doi:10.18280/isi.260308 fatcat:kwqbly6ipbbcdiosy7mej4aeem

Turning Customer Insights Contributing to VMI Based Decision Support System in Demand Chain Management

Vasista T.G.K, AlAbdullatif A.M
2015 International Journal of Managing Value and Supply Chains  
VMI is an efficient replenishment practice designed to enable the vendor to respond to demand without the distortive effect of purchasing decisions in the retail chain.  ...  It concludes by saying that there is a need of adopting innovative management methodologies such as CRASP management methodology and the need of working on adding semantics to big data analytics based  ...  Semantically Annotated Mining eXtensible Markup Language, (ii) Web Service Markup Language (WSML) to Reasoner Framework (because ontologies are defined in WSML) and (iii) a conformance analysis plug-in  ... 
doi:10.5121/ijmvsc.2015.6204 fatcat:s3pncsvzsnhnbik7yhjkaypp5y

Semantic culturomics

Fabian M. Suchanek, Nicoleta Preda
2014 Proceedings of the VLDB Endowment  
But Culturomics has so far been limited to statistics on keywords.  ...  We predict that this could open up a new field of research, "Semantic Culturomics", in which no longer human text helps machines build up knowledge bases, but knowledge bases help humans understand their  ...  If Semantic Culturomics succeeds, however, it would add an interesting twist to the digital humanities: semantics.  ... 
doi:10.14778/2732977.2732994 fatcat:c2jvs6jl4rarzaptaqyi4iu4da

Semantic Web Mining. State of the Art and Future Directions

Gerd Stumme, Andreas Hotho, Bettina Berendt
2006 Social Science Research Network  
Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining.  ...  We argue that the two areas Web Mining and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not yet realized.  ...  Closing the loop In the previous two sections, we have analyzed how to establish Semantic Web data by data mining, how to exploit formal semantics for Web Mining, and how to mine the Semantic Web.  ... 
doi:10.2139/ssrn.3199332 fatcat:k4byg7k2efe3nla67b6f6ci22m

A Hybrid Web Recommendation System based on the Improved Association Rule Mining Algorithm [article]

Ujwala Wanaskar, Sheetal Vij, Debajyoti Mukhopadhyay
2013 arXiv   pre-print
This is improved algorithm which adds semantic knowledge to the results, has more efficiency and hence gives better quality and performances as compared to existing approaches.  ...  To over-come this problem, we have used the web usage log in the adaptive association rule based web mining where the asso-ciation rules were applied to personalization.  ...  It is useful in finding meaningful information from the given text. This technique adds semantic knowledge to the data.  ... 
arXiv:1311.7204v1 fatcat:smu6oymaejhk3gwx5ounttcqve

Data Mining for Improved Web Site Design and Enhanced Marketing [chapter]

Asem Omari
2009 Data Mining for Design and Marketing  
Web mining is the process of using data mining techniques to mine for interesting patterns in the web.  ...  We showed how association rule mining can be invested as a data mining task to support marketers to improve the process of decision making in a retail business.  ...  Web mining is the process of using data mining techniques to mine for interesting patterns in the web.  ... 
doi:10.1201/9781420070224.ch6 fatcat:vuvnq3sb75hn5ghfcekyv7z73i

Intelligent decision support for the pricing of products and services in competitive consumer markets

N. Cassaigne, M.G. Singh
2001 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
Furthermore, we present how we use Exalead CloudView platform to search for weak signals in big data by analyzing multimedia data (text, voice, picture, video) and mining online social networks.  ...  Done right, the application of scientific principles to the creation of a true price optimization strategy can lead to significant sales, margin, and profit lift for retailers.  ...  Smart Refresh reloads URLs in the list and adds them to the queue, except for the recent uploads.  ... 
doi:10.1109/5326.923272 fatcat:u5uz6g3of5ay5m5f4cw7ugt7oa

A Hybrid Web Recommendation System Based on the Improved Association Rule Mining Algorithm

Ujwala H. Wanaskar, Sheetal R. Vij, Debajyoti Mukhopadhyay
2013 Journal of Software Engineering and Applications  
This is improved algorithm which adds semantic knowledge to the results, has more efficiency and hence gives better quality and performances as compared to existing approaches.  ...  To overcome this problem, we have used the web usage log in the adaptive association rule based web mining where the association rules were applied to personalization.  ...  This technique adds semantic knowledge to the data. It is used in many applications like information retrieval, language processing, Data mining etc. There are many algorithms used for text mining.  ... 
doi:10.4236/jsea.2013.68049 fatcat:c36w5nppbreh3c3au5spyb6byq
« Previous Showing results 1 — 15 out of 3,412 results