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A Web text mining approach based on self-organizing map

Chung-Hong Lee, Hsin-Chang Yang
1999 Proceedings of the second international workshop on Web information and data management - WIDM '99  
To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.  ...  this work for person or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on  ... 
doi:10.1145/319759.319789 dblp:conf/widm/LeeY99 fatcat:apaqrq4nsfeazinvjnwxt576h4

The Research of Text Mining Based on Self-Organizing Maps

Yi Ding, Xian Fu
2012 Procedia Engineering  
Using a variation of automatic clustering techniques, which apply a neural net approach, namely the Self-Organizing Maps (SOM).  ...  In this work, we attempt to develop a language-neutral method to tackle the linguistics difficulties in the text mining process.  ...  Similar to data mining approaches, web text mining requires a technique that can automatically analyze data and extract relationships or patterns from large collections of web text by using specific algorithms  ... 
doi:10.1016/j.proeng.2011.12.757 fatcat:njlj4uzh6jdznif75eoxdx4c4q

Towards Multilingual Information Discovery through a SOM based Text Mining approach

Chung-Hong Lee, Hsin-Chang Yang
2000 Pacific Rim International Conference on Artificial Intelligence  
Using a variation of automatic clustering techniques, which applies a neural net approach namely the Self-Organizing Maps (SOM), we have conducted several experiments to uncover associated documents based  ...  This paper describes our approach for concept discovery from multilingual text collections through a text mining technique.  ...  Self-Organizing Maps The self-organizing map (SOM) [8, 9] is one of the major unsupervised artificial neural network models.  ... 
dblp:conf/pricai/LeeY00 fatcat:akjgyjwqpzdexmfs7oiusmmj4a

Image semantics discovery from web pages for semantic-based image retrieval using self-organizing maps

Hsin-Chang Yang, Chung-Hong Lee
2008 Expert systems with applications  
We apply a text mining process, which adopts the self-organizing map (SOM) learning algorithm as a kernel, on the environmental texts of an image to extract the semantic information from this image.  ...  We performed experiments on a set of images which are collected from web pages and obtained promising results.  ...  The environmental texts of every image are further clustered according to their semantic similarities through the self-organizing map algorithm, which is a part of the text mining process.  ... 
doi:10.1016/j.eswa.2006.09.016 fatcat:2up5vdjnfvclhc37h3jfr6qyje

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  
A survey of the existing literature on "soft web mining" is provided along with the commercially available systems.  ...  The reason for considering web mining, a separate field from data mining, is explained.  ...  The agent-based approach to web mining involves the development of sophisticated AI systems that can act autonomously or semi autonomously on behalf of a partic- ular user, to discover and organize web-based  ... 
doi:10.1109/tnn.2002.1031947 pmid:18244512 fatcat:a2ea5nfnczgjlpwsbwe6ebt5hi

A Self-Organizing Map Based Knowledge Discovery for Music Recommendation Systems [chapter]

Shankar Vembu, Stephan Baumann
2005 Lecture Notes in Computer Science  
In this paper, we present an approach for musical artist recommendation based on Self-Organizing Maps (SOMs) of artist reviews from Amazon web site.  ...  We introduce the concept of a modified weighting scheme for text mining in the musical domain and demonstrate its role in improving the quality of the recommendations.  ...  Self-Organizing Maps of Amazon Reviews Textual Data Mining The album reviews for artists can be accessed from the Amazon site using the Amazon Web Service interface [14] that is available as a standard  ... 
doi:10.1007/978-3-540-31807-1_9 fatcat:hang3gkd55fg5lg3ajm2c365ey

Mining conference proceedings for corporate technology knowledge management

R.J. Watts, A.L. Porter
2005 A Unifying Discipline for Melting the Boundaries Technology Management:  
It shows how tracking research patterns and changes over a sequence of conferences can illuminate R&D trends, map dominant issues, and spotlight key research organizations.  ...  These proceedings provide a rich repository that can be mined.  ...  By mining down to individual abstracts that have been self-organized into topical groups, managers can quickly gain insights on the "hot topics."  ... 
doi:10.1109/picmet.2005.1509711 fatcat:in7ei7opzbamnmascj7t53n27i

MINING CONFERENCE PROCEEDINGS FOR CORPORATE TECHNOLOGY KNOWLEDGE MANAGEMENT

ROBERT J. WATTS, ALAN L. PORTER
2007 International Journal of Innovation and Technology Management (IJITM)  
It shows how tracking research patterns and changes over a sequence of conferences can illuminate R&D trends, map dominant issues, and spotlight key research organizations.  ...  These proceedings provide a rich repository that can be mined.  ...  By mining down to individual abstracts that have been self-organized into topical groups, managers can quickly gain insights on the "hot topics."  ... 
doi:10.1142/s0219877007001016 fatcat:xge2l6i4xnaqvbrdkwb7setolq

XLBoost-Geo: An IP Geolocation System Based on Extreme Landmark Boosting [article]

Yucheng Wang, Hongsong Zhu, Jinfa Wang, Jie Liu, Yong Wang, Limin Sun
2020 arXiv   pre-print
Specifically, we first design an entity extracting method based on a bidirectional LSTM neural network with a self-adaptive loss function (LSTM-Ada) to extract the location-indicating clues on web pages  ...  The main idea is to extract location-indicating clues from web pages and locating the web servers based on the clues.  ...  Finally, based on the clues, we deduce the locations of the web servers and map them to their corresponding IP.  ... 
arXiv:2010.13396v1 fatcat:zwruat64qbdwxelbztkzvsbx7a

A Novel Two-Phase SOM Clustering Approach to Discover Visitor Interests in a Website

Ahmad Ammari, Valentina V. Zharkova
2010 The European Symposium on Artificial Neural Networks  
In this paper, a novel two-phase clustering approach based on Self Organizing Maps (SOM) is proposed to address this problem.  ...  A systematic process to prepare Web content data for clustering is also described.  ...  Self Organizing Maps (SOM) is the clustering algorithm of choice for this work based on its popular success and effectiveness observed by related works such as [4] and [5] when working with high dimensional  ... 
dblp:conf/esann/AmmariZ10 fatcat:5uypyt6ilngzfdsvf3n2gdixmq

A text mining approach for automatic construction of hypertexts

Hsin-Chang Yang, Chung-Hong Lee
2005 Expert systems with applications  
In this work, we will propose a new automatic hypertext construction method based on a text mining approach.  ...  Our method applies the self-organizing map algorithm to cluster some at text documents in a training corpus and generate two maps.  ...  Text mining by self-organizing maps We should first perform a text mining process on the corpus to enable the creation of hypertexts.  ... 
doi:10.1016/j.eswa.2005.05.003 fatcat:4a3p7cen75gyle2hxepwb7cbhy

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.  ...  Some 110,000 Web pages are clustered into labeled regions based on the self-organizing map approach, in which larger regions represent more important topics, and regions close to each other represent topics  ... 
doi:10.1002/aris.1440380107 fatcat:wdqwbszj7valbnyjfysbb4ap4y

Review on Web Content Mining Techniques

Shipra Saini, Hari Mohan Pandey
2015 International Journal of Computer Applications  
The second phase of web mining is known as web content mining, which dealt mining of pictures, text and graphs etc.  ...  The focus of this paper is to present a detailed and comprehensive review of various methods applied for web mining/web content mining.  ...  Two types of approaches are used in web content mining. The two approaches are: the database approach and the agent based approach.  ... 
doi:10.5120/20848-3536 fatcat:5g3oggnkhrfxhnx6bqh5b4ey5u

Web mining for self-directed e-learning [chapter]

P. Desikan, C. DeLong, K. Beemanapalli, A. Bose, J. Srivastava
2006 Data Mining in E-Learning  
Web Mining, however, may potentially offer a solution to this issue.  ...  Our work demonstrates the usefulness of Web Mining as it applies to self-directed elearning and the need to map implicit relationships in learner behaviour, usage, and context.  ...  Web Content, Web Structure and Web Usage data." The attention paid to Web mining, in research, software industry, and Web-based organizations, has led to the accumulation of a lot of experiences.  ... 
doi:10.2495/1-84564-152-3/02 fatcat:l7d26y7hkngixopnudrnolazca

Combining SOMs and Ontologies for Effective Web Site Mining [chapter]

Dimitris Petrilis, Constantin Halatsis
2011 Self Organizing Maps - Applications and Novel Algorithm Design  
Self Organizing Maps -Applications and Novel Algorithm Design www.intechopen.comCombining SOMs and Ontologies for Effective Web Site Mining  ...  Web usage mining Web usage mining, also known as Web Log Mining, refers to the extraction of information from the raw data that is stored in text files located on the web server(s) hosting the web pages  ...  Combining SOMs and Ontologies for Effective Web Site Mining, Self Organizing Maps -Applications and Novel Algorithm Design, Dr Josphat Igadwa Mwasiagi (Ed.), ISBN: 978-953-307-546-4, InTech, Available  ... 
doi:10.5772/13594 fatcat:alkp2jm4lzgbzdcwnq3rri3s6m
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