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Conceptual Classification to Improve a Web Site Content [chapter]

Sebastián A. Ríos, Juan D. Velásquez, Hiroshi Yasuda, Terumasa Aoki
2006 Lecture Notes in Computer Science  
Moreover, it is possible to give better browsing recomendations and help managers improving the content of their Web site. We test this idea on a real Web site to show its effectiveness.  ...  This paper presents a conceptual based approach for improving a Web site content. Usually Web Usage Mining (WUM) techniques study the visitors' browsing behavior to obtain interesting knowledge.  ...  Afterwards, a Self Organizing Map (SOM) is used to obtain a topic-oriented multilingual text classification.  ... 
doi:10.1007/11875581_104 fatcat:ewdeaars4bev3jlwshhlhsfsvi

Optimization of information retrieval for cross media contents in a best practice network

Pierfrancesco Bellini, Daniele Cenni, Paolo Nesi
2014 International Journal of Multimedia Information Retrieval  
In those cases, the cross media content includes classical file and their metadata plus web pages, events, blog, discussion forums, comments in multilingual.  ...  Recent challenges in information retrieval are related to cross media information in social networks including rich media and web based content.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s)  ... 
doi:10.1007/s13735-014-0058-8 fatcat:zu3rlocxpfh5tmx4oqeqgurcwe

Web mining in soft computing framework: relevance, state of the art and future directions

S.K. Pal, V. Talwar, P. Mitra
2002 IEEE Transactions on Neural Networks  
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.  ...  Self organizing NNs can be used to filter out invalid pages dynamically.  ... 
doi:10.1109/tnn.2002.1031947 pmid:18244512 fatcat:a2ea5nfnczgjlpwsbwe6ebt5hi

The Continued Saga of DB-IR Integration [chapter]

Ricardo Baeza-Yates, Mariano Consens
2004 Proceedings 2004 VLDB Conference  
• Today, there are more than 60 million Web servers • Well connected graph with out-link and in-link power law distributions Log Log x -β Self-similar & Self-organizing • Problems: -volume  ...  -fast rate of change and growth -dynamic content -redundancy -organization and data quality -diversity -…  ... 
doi:10.1016/b978-012088469-8.50118-2 dblp:conf/vldb/Baeza-YatesC04 fatcat:2lzk6qlgurgbdoj6do2qtxy2za

The Continued Saga of DB-IR Integration [chapter]

R BAEZAYATES, M CONSENS
2004 Proceedings 2004 VLDB Conference  
• Today, there are more than 60 million Web servers • Well connected graph with out-link and in-link power law distributions Log Log x -β Self-similar & Self-organizing • Problems: -volume  ...  -fast rate of change and growth -dynamic content -redundancy -organization and data quality -diversity -…  ... 
doi:10.1016/b978-012088469-8/50118-2 fatcat:dktiusnpj5hcfbu2fopto7psqq

Web mining: Machine learning for web applications

Hsinchun Chen, Michael Chau
2005 Annual Review of Information Science and Technology  
The self-organizing map (SOM) technique also has been applied to Web applications.  ...  Other popular neural network models include Kohonen's self-organizing map and the Hopfield network.  ... 
doi:10.1002/aris.1440380107 fatcat:wdqwbszj7valbnyjfysbb4ap4y

Learning Repository Adaptability in an Agent-Based University Environment

Vanco Cabukovski, Roman Golubovski, Riste Temjanovski
2016 International Journal of Computer Science & Information Technology (IJCSIT)  
Additionally, AeLSs support internal communications and customizable analytics and methodologies to quickly identify learning performance, which in turn can be used as feedback to implement adaptability  ...  Such integration of content management systems (CMS) present challenges which can be solved optimally with the use of distributed management implemented through agent-based systems.  ...  The nature of the level estimation process logically requires a fuzzy approach, which is the job of the Fuzzy Expert System.  ... 
doi:10.5121/ijcsit.2016.8308 fatcat:vujdarkcxjfm3lpthwultq7pmu

Learning Repository Adaptibility in an Agent-Based University Environment [article]

Vanco Cabukovski, Roman Golubovski, Riste Temjanovski
2016 arXiv   pre-print
Additionally, AeLSs support internal communications and customizable analytics and methodologies to quickly identify learning performance, which in turn can be used as feedback to implement adaptability  ...  Such integration of content management systems (CMS) present challenges which can be solved optimally with the use of distributed management implemented through agent-based systems.  ...  The nature of the level estimation process logically requires a fuzzy approach, which is the job of the Fuzzy Expert System.  ... 
arXiv:1607.04320v1 fatcat:5pcopicscjhifarmcadcno5g4y

Web Service Discovery Methods and Techniques: A Review

Soodeh Pakari, Esmaeel Kheirkhah, Mehrdad Jalali
2014 International Journal of Computer Science Engineering and Information Technology  
In this paper, we classify them and determine the advantages and disadvantages of each group, to help researchers to implement a new or to select the most appropriate existing approach for Semantic Web  ...  We explain each sub-group of it in detail, and then subsequently compare the sub-groups in terms of their merits and drawbacks. 2 views, namely architectural view, automation view, and matchmaking view  ...  exploits both the signatures and specifications of a Web Service , whilst adopting logical and non-logical service matching methods.  ... 
doi:10.5121/ijcseit.2014.4101 fatcat:oo2oig5eybhqnipc27mjk4qfke

Sentiment and Emotion Analysis for Context Sensitive Information Retrieval of Social Networking Sites: A Survey

D. I.GeorgeAmalarethinam, V. Jude Nirmal
2014 International Journal of Computer Applications  
This paper presents a comprehensive survey of the existing techniques for big data analysis based on massively parallel processing techniques like GPGPUs (CUDA), Hadoop Map-Reduce and also Data Warehousing  ...  With big data becoming ubiquitous due to the volume, velocity and variety of data being presented and analysed in almost all the domains today, context sensitive analysis and interpretation of big data  ...  Security: threat to national and home land security Content filtering can be used in real time to avoid communal and regional clashes due to inappropriate content sharing in social networks.  ... 
doi:10.5120/17565-8194 fatcat:hylpsotytrgbhmcsipz4tdg2sa

Implicit, Formal and Powerful Semantics in Geoinformation

Gloria Bordogna, Cristiano Fugazza, Paolo Acquaviva d'Aragona, Paola Carrara
2021 ISPRS International Journal of Geo-Information  
The outcomes of the analysis sheds some light on the diverse methods and technologies that are more suited to model and deal with specific forms of geosemantics.  ...  Finally, we associate the case studies with the previously identified keywords and compute their similarities in order to ascertain if distinguishing methodologies, techniques, and challenges can be related  ...  (RDF) resources (organized in graphs) semantic discovery (e.g., multilingualism, semantic expansion); disambiguation and preservation of information meaning (in the future and with respect  ... 
doi:10.3390/ijgi10050330 fatcat:tscz7fb6evbhdo7fw4lyf3i4yq

A Survey of Text Mining Techniques and Applications

Vishal Gupta, Gurpreet S. Lehal
2009 Journal of Emerging Technologies in Web Intelligence  
In this paper, a Survey of Text Mining techniques and applications have been s presented.  ...  To implement text summarization based on fuzzy logic, MATLAB is usually used since it is possible to simulate fuzzy logic in this software.  ...  Web mining is to explore interesting information and potential patterns from the contents of web page, the information of accessing the web page linkages and resources of e-commerce by using techniques  ... 
doi:10.4304/jetwi.1.1.60-76 fatcat:wx3k6xjfh5dodjewrpu2jgfs4y

A Review of Machine Learning Algorithms for Text-Documents Classification

Baharum Baharudin, Lam Hong Lee, Khairullah Khan
2010 Journal of Advances in Information Technology  
With the increasing availability of electronic documents and the rapid growth of the World Wide Web, the task of automatic categorization of documents became the key method for organizing the information  ...  and knowledge discovery.  ...  The [84] presents another hybrid method of naïve Bayes with self organizing map (SOM).  ... 
doi:10.4304/jait.1.1.4-20 fatcat:nx23oqf3gbgiha45s2enn2hqqq

A Comprehensive Fuzzy Ontology-Based Decision Support System for Alzheimer's Disease Diagnosis

Nora Shoaip, Amira Rezk, Shaker El-Sappagh, Louai Alarabi, Sherif Barakat, Mohammed Elmogy
2020 IEEE Access  
The possibility of semantic interoperability is taken into account by integrating ADDO and a heterogeneous AD dataset. We used ADNI as a case study to mapping a set of real instances.  ...  ADDO is constructed using Protégé 5.5.0 software and evaluated using the HermiT reasoner and SPARQL semantic queries.  ...  He has authored or coauthored over 200 research publications in peer-reviewed reputed journals, book chapters, and conference proceedings. He advised more than 30 master and doctoral graduates.  ... 
doi:10.1109/access.2020.3048435 fatcat:asxbpuhffvebjnhkzoi57hswki

Searching and mining the web for personalized and specialized information

Michael Chau
2005 SIGIR Forum  
ACKNOWLEDGEMENTS First of all, I would like to thank my dissertation advisor and mentor, Professor Hsinchun Chen, for his guidance and encouragement throughout my five years at the University of Arizona  ...  The functions include: (1) searching (2) filtering, (3) phrase selection, and (4) visualization using self-organizing map (SOM).  ...  Other popular neural network models include Kohonen's self-organizing map and the Hopfield network Self-organizing maps have been widely used in unsupervised learning, clustering, and pattern recognition  ... 
doi:10.1145/1067268.1067288 fatcat:5cpukrur6fcbdhpl54qxygtbxe
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