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A Web text mining approach based on self-organizing map
1999
Proceedings of the second international workshop on Web information and data management - WIDM '99
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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
2012
Procedia Engineering
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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
2000
Pacific Rim International Conference on Artificial Intelligence
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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
2008
Expert systems with applications
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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
2002
IEEE Transactions on Neural Networks
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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]
2005
Lecture Notes in Computer Science
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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
2005
A Unifying Discipline for Melting the Boundaries Technology Management:
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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
2007
International Journal of Innovation and Technology Management (IJITM)
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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]
2020
arXiv
pre-print
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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
2010
The European Symposium on Artificial Neural Networks
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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
2005
Expert systems with applications
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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
2005
Annual Review of Information Science and Technology
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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
2015
International Journal of Computer Applications
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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]
2006
Data Mining in E-Learning
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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]
2011
Self Organizing Maps - Applications and Novel Algorithm Design
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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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