http://www.bibsonomy.org/burst/tag/KI2007WebMiningBibSonomy BuRST Feed for /tag/KI2007WebMining2008-07-21T00:36:59+02:00http://www.bibsonomy.org/bibtex/23e4e2899e7d6988218d02a264bcfe24a/bsmythbsmyth2007-11-05T17:28:31+01:00kdd web mining KI2007WebMining dm ml <span style="color:#555555;">Pierre <a href="http://www.bibsonomy.org/author/Baldi">Baldi</a> and Paolo <a href="http://www.bibsonomy.org/author/Frasconi">Frasconi</a> and Padhraic <a href="http://www.bibsonomy.org/author/Smyth">Smyth</a> </span><em>chapter 4, </em><em>Wiley, </em><em>April2003. </em>Mon Nov 05 17:28:31 CET 2007Modeling the Internet and the Web: Probabilistic Methods and Algorithms4AprilModeling the Internet and the Web: Probabilistic Methods and Algorithms2003kdd web mining KI2007WebMining dm ml Modeling the Internet and the Web covers the most important aspects of modeling the Web using a modern mathematical and probabilistic treatment. It focuses on the information and application layers, as well as some of the emerging properties of the Internet. ? Provides a comprehensive introduction to the modeling of the Internet and the Web at the information level. ? Takes a modern approach based on mathematical, probabilistic, and graphical modeling. ? Provides an integrated presentation of theory, examples, exercises and applications. ? Covers key topics such as text analysis, link analysis, crawling techniques, human behaviour, and commerce on the Web. Interdisciplinary in nature, Modeling the Internet and the Web will be of interest to students and researchers from a variety of disciplines including computer science, machine learning, engineering, statistics, economics, business, and the social sciences.http://www.bibsonomy.org/bibtex/27fd0b444d17923e9fd870a5178d5ab8c/siggisiggi2007-09-16T03:14:47+02:00informationRetrieval esign datamining web text mining Mining KI2007WebMining <span style="color:#555555;">Simon J. <a href="http://www.bibsonomy.org/author/Buckingham Shum">Buckingham Shum</a> and Victoria <a href="http://www.bibsonomy.org/author/Uren">Uren</a> and Gangmin <a href="http://www.bibsonomy.org/author/Li">Li</a> and Bertrand <a href="http://www.bibsonomy.org/author/Sereno">Sereno</a> and Clara <a href="http://www.bibsonomy.org/author/Mancini">Mancini</a> </span><em>International Journal of Intelligent Systems (Special Issue on Computational Models of Natural Argument)</em><em>22(1):17-47</em>(<em>2007</em>)Sun Sep 16 03:14:47 CEST 2007International Journal of Intelligent Systems (Special Issue on Computational Models of Natural Argument)117-47{C}omputational {M}odelling of {N}aturalistic {A}rgumentation in {R}esearch {L}iteratures: {R}epresentation and {I}nteraction {D}esign {I}ssues222007informationRetrieval esign datamining web text mining Mining KI2007WebMining http://www.bibsonomy.org/bibtex/2937aa34e1766c8eaf6acc065ae9d2c5c/kdekde2007-07-25T11:58:51+02:00KI2007WebMining <span style="color:#555555;">B. <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> and A. <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and D. <a href="http://www.bibsonomy.org/author/Mladenic">Mladenic</a> and M. <a href="http://www.bibsonomy.org/author/van Someren">van Someren</a> and M. <a href="http://www.bibsonomy.org/author/Spiliopoulou">Spiliopoulou</a> and G. <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span>(<em>2004</em>)Wed Jul 25 11:58:51 CEST 2007Web Mining: From Web to Semantic Web2004KI2007WebMining http://www.bibsonomy.org/bibtex/20cef0d9bbd975fc454cc90e862022503/kdekde2007-07-25T11:55:54+02:00KI2007WebMining <span style="color:#555555;">S. <a href="http://www.bibsonomy.org/author/Chakrabarti">Chakrabarti</a> </span>(<em>2002</em>)Wed Jul 25 11:55:54 CEST 2007Mining the Web: Discovering Knowledge from Hypertext Data2002KI2007WebMining http://www.bibsonomy.org/bibtex/2c0cdbeab23ce0fc1bff5e02c99aab012/kdekde2007-07-16T12:17:13+02:00semantic ontology nepomuk socialnetworkanalysis 2006 myown KI2007WebMining web sna <span style="color:#555555;">Bettina <a href="http://www.bibsonomy.org/author/Hoser">Hoser</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> and Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>The Semantic Web: Research and Applications, </em><em>volume4011ofLNAI, </em><em>page514-529. </em><em>Heidelberg, </em><em>Springer, </em><em>June2006. </em>Mon Jul 16 12:17:13 CEST 2007HeidelbergThe Semantic Web: Research and ApplicationsJune514-529LNAISemantic Network Analysis of Ontologies40112006semantic ontology nepomuk socialnetworkanalysis 2006 myown KI2007WebMining web sna A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the knowledge. However, beside consistency checking, current ontology engineering tools provide only basic functionalities for analyzing ontologies. Since ontologies can be considered as (labeled, directed) graphs, graph analysis techniques are a suitable answer for this need. Graph analysis has been performed by sociologists for over 60 years, and resulted in the vivid research area of Social Network Analysis (SNA). While social network structures in general currently receive high attention in the Semantic Web community, there are only very few SNA applications up to now, and virtually none for analyzing the structure of ontologies. We illustrate in this paper the benefits of applying SNA to ontologies and the Semantic Web, and discuss which research topics arise on the edge between the two areas. In particular, we discuss how different notions of centrality describe the core content and structure of an ontology. From the rather simple notion of degree centrality over betweenness centrality to the more complex eigenvector centrality based on Hermitian matrices, we illustrate the insights these measures provide on two ontologies, which are different in purpose, scope, and size.http://www.bibsonomy.org/bibtex/2fc936cec60b1b7ab69f230f14139e8ab/kdekde2007-07-16T12:13:43+02:00KI2007WebMining imported <span style="color:#555555;">Sergey <a href="http://www.bibsonomy.org/author/Brin">Brin</a> and Lawrence <a href="http://www.bibsonomy.org/author/Page">Page</a> </span><em>Computer Networks and ISDN Systems</em><em>30(1-7):107--117</em><em>April1998. </em>Mon Jul 16 12:13:43 CEST 2007Computer Networks and ISDN SystemsApril1-7107--117{T}he {A}natomy of a {L}arge-{S}cale {H}ypertextual {W}eb {S}earch {E}ngine301998KI2007WebMining imported http://www.bibsonomy.org/bibtex/2d6b7ee7b2b4bdc9c17cf2309d4aaab73/kdekde2007-07-16T12:12:51+02:00KI2007WebMining imported <span style="color:#555555;">B. <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> and A. <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and G. <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proc Int. Semantic Web Conference, </em><em>Sardinia, Italy, </em>(<em>2002</em>)Mon Jul 16 12:12:51 CEST 2007Sardinia, ItalyProc Int. Semantic Web ConferenceTowards Semantic Web Mining.2002KI2007WebMining imported http://www.bibsonomy.org/bibtex/218a9697e8ca04f637487e79b6be9cc83/kdekde2007-07-16T11:36:54+02:00KI2007WebMining imported <span style="color:#555555;">Brij M. <a href="http://www.bibsonomy.org/author/Masand">Masand</a> and Myra <a href="http://www.bibsonomy.org/author/Spiliopoulou">Spiliopoulou</a> (eds.). </span><em>volume1836ofLecture Notes in Computer Science, </em><em>Springer, </em>(<em>2000</em>)Mon Jul 16 11:36:54 CEST 2007WEBKDDLecture Notes in Computer ScienceWeb Usage Analysis and User Profiling, International WEBKDD'99 Workshop, San Diego, California, USA, August 15, 1999, Revised Papers18362000KI2007WebMining imported http://www.bibsonomy.org/bibtex/23e4e2899e7d6988218d02a264bcfe24a/kdekde2007-07-16T11:35:14+02:00kdd ml dm KI2007WebMining mining web <span style="color:#555555;">Pierre <a href="http://www.bibsonomy.org/author/Baldi">Baldi</a> and Paolo <a href="http://www.bibsonomy.org/author/Frasconi">Frasconi</a> and Padhraic <a href="http://www.bibsonomy.org/author/Smyth">Smyth</a> </span><em>chapter 4, </em><em>Wiley, </em><em>April2003. </em>Mon Jul 16 11:35:14 CEST 2007Modeling the Internet and the Web: Probabilistic Methods and Algorithms4AprilModeling the Internet and the Web: Probabilistic Methods and Algorithms2003kdd ml dm KI2007WebMining mining web Modeling the Internet and the Web covers the most important aspects of modeling the Web using a modern mathematical and probabilistic treatment. It focuses on the information and application layers, as well as some of the emerging properties of the Internet. ? Provides a comprehensive introduction to the modeling of the Internet and the Web at the information level. ? Takes a modern approach based on mathematical, probabilistic, and graphical modeling. ? Provides an integrated presentation of theory, examples, exercises and applications. ? Covers key topics such as text analysis, link analysis, crawling techniques, human behaviour, and commerce on the Web. Interdisciplinary in nature, Modeling the Internet and the Web will be of interest to students and researchers from a variety of disciplines including computer science, machine learning, engineering, statistics, economics, business, and the social sciences.http://www.bibsonomy.org/bibtex/276b741061fab004645c3119db5a17bc3/kdekde2007-07-13T12:23:55+02:00clustering tagging search KI2007WebMining <span style="color:#555555;">Grigory <a href="http://www.bibsonomy.org/author/Begelman">Begelman</a> and Philipp <a href="http://www.bibsonomy.org/author/Keller">Keller</a> and Frank <a href="http://www.bibsonomy.org/author/Smadja">Smadja</a> </span><em>Collaborative Web Tagging Workshop at WWW2006, Edinburgh, Scotland, </em>(<em>2006</em>)Fri Jul 13 12:23:55 CEST 2007Collaborative Web Tagging Workshop at WWW2006, Edinburgh, ScotlandAutomated Tag Clustering: Improving search and exploration in the tag space2006clustering tagging search KI2007WebMining http://www.bibsonomy.org/bibtex/2dc941da0f5c7da937269241b0df0b3b3/kdekde2007-07-13T11:58:51+02:00KI2007WebMining imported <span style="color:#555555;">J. <a href="http://www.bibsonomy.org/author/Srivastava">Srivastava</a> and R. <a href="http://www.bibsonomy.org/author/Cooley">Cooley</a> and M. <a href="http://www.bibsonomy.org/author/Deshpande">Deshpande</a> and P.-N. <a href="http://www.bibsonomy.org/author/Tan">Tan</a> </span><em>SIGKDD Explorations</em><em>1(2):12--23</em>(<em>2000</em>)Fri Jul 13 11:58:51 CEST 2007SIGKDD Explorations212--23Web usage mining: discovery and application of usage patterns from web data12000KI2007WebMining imported dblphttp://www.bibsonomy.org/bibtex/24d2ddff0f0013f7d6cffc782c5eca56c/kdekde2007-07-13T11:57:23+02:00learning regression KI2007WebMining rank pagerank <span style="color:#555555;">Matthew <a href="http://www.bibsonomy.org/author/Richardson">Richardson</a> and Amit <a href="http://www.bibsonomy.org/author/Prakash">Prakash</a> and Eric <a href="http://www.bibsonomy.org/author/Brill">Brill</a> </span><em>WWW, </em><em>page707-715. </em><em>ACM, </em>(<em>2006</em>)Fri Jul 13 11:57:23 CEST 2007WWWconf/www/2006707-715Beyond PageRank: machine learning for static ranking.2006learning regression KI2007WebMining rank pagerank http://www.bibsonomy.org/bibtex/2ac49c33e114ca171db40cece6a0ae4d6/kdekde2007-07-13T11:56:20+02:00KI2007WebMining imported <span style="color:#555555;">L. <a href="http://www.bibsonomy.org/author/Page">Page</a> and S. <a href="http://www.bibsonomy.org/author/Brin">Brin</a> and R. <a href="http://www.bibsonomy.org/author/Motwani">Motwani</a> and T. <a href="http://www.bibsonomy.org/author/Winograd">Winograd</a> </span><em>Proceedings of the 7th International World Wide Web Conference, </em><em>page161--172. </em><em>Brisbane, Australia, </em>(<em>1998</em>)Fri Jul 13 11:56:20 CEST 2007Brisbane, AustraliaProceedings of the 7th International World Wide Web Conference161--172The PageRank citation ranking: Bringing order to the Web1998KI2007WebMining imported http://www.bibsonomy.org/bibtex/2a7a6cdb6e0790b276d7f0642991e734e/kdekde2007-07-13T11:55:42+02:00KI2007WebMining imported <span style="color:#555555;">B. <a href="http://www.bibsonomy.org/author/Mobasher">Mobasher</a> and R. <a href="http://www.bibsonomy.org/author/Cooley">Cooley</a> and J. <a href="http://www.bibsonomy.org/author/Srivastava">Srivastava</a> </span><em>Communications of the ACM</em><em>43(8):142--151</em>(<em>2000</em>)Fri Jul 13 11:55:42 CEST 2007Communications of the ACM8142--151Automatic personalization based on Web usage mining432000KI2007WebMining imported http://www.bibsonomy.org/bibtex/270cdcdbd6c52a6ff43b6c0120d569cf8/kdekde2007-07-13T11:54:46+02:00KI2007WebMining imported <span style="color:#555555;">John <a href="http://www.bibsonomy.org/author/Markoff">Markoff</a> </span><em>New York Times, </em><em>November 122006. </em><em>http://www.nytimes.com/2006/11/12/business/12web.html?ex=1320987600&amp;en=254d697964cedc62&amp;ei=5088 . </em>Fri Jul 13 11:54:46 CEST 2007New York TimesNovember 12http://www.nytimes.com/2006/11/12/business/12web.html?ex=1320987600\&en=254d697964cedc62\&ei=5088Entrepreneurs See a Web Guided by Common Sense2006KI2007WebMining imported http://www.bibsonomy.org/bibtex/296ede973960df75cd802cee383f0195c/kdekde2007-07-13T11:54:07+02:00imported KI2007WebMining <span style="color:#555555;">A. <a href="http://www.bibsonomy.org/author/Maedche">Maedche</a> </span><em>Kluwer, </em>(<em>2002</em>)Fri Jul 13 11:54:07 CEST 2007Ontology Learning for the Semantic Web2002imported KI2007WebMining http://www.bibsonomy.org/bibtex/21bd636292bc53fb0d8cdd71cb5a10adc/kdekde2007-07-13T11:53:11+02:00KI2007WebMining imported <span style="color:#555555;">W. <a href="http://www.bibsonomy.org/author/Lin">Lin</a> and S.A. <a href="http://www.bibsonomy.org/author/Alvarez">Alvarez</a> and C. <a href="http://www.bibsonomy.org/author/Ruiz">Ruiz</a> </span><em>Data Mining and Knowledge Discovery</em>(<em>2002</em>)Fri Jul 13 11:53:11 CEST 2007Data Mining and Knowledge Discovery83--105Efficient adaptive-support association rule mining for recommender systems62002KI2007WebMining imported http://www.bibsonomy.org/bibtex/2eff818caa06f636279e67308aeffe6f6/kdekde2007-07-13T11:52:34+02:00imported KI2007WebMining <span style="color:#555555;">A.H.F. <a href="http://www.bibsonomy.org/author/Laender">Laender</a> and B.A. <a href="http://www.bibsonomy.org/author/Ribeiro-Neto">Ribeiro-Neto</a> and A.S. <a href="http://www.bibsonomy.org/author/da Silva">da Silva</a> and J.S. <a href="http://www.bibsonomy.org/author/Teixeira">Teixeira</a> </span><em>SIGMOD Record</em><em>31(2):84--93</em>(<em>2002</em>)Fri Jul 13 11:52:34 CEST 2007SIGMOD Record284--93A Brief Survey of Web Data Extraction Tools312002imported KI2007WebMining A Survey of Web Information Extraction Systemshttp://www.bibsonomy.org/bibtex/2234a08916f1fd77df13ea731622333f7/kdekde2007-07-13T11:51:56+02:00extraction KI2007WebMining information ie survey <span style="color:#555555;">Mohammed <a href="http://www.bibsonomy.org/author/Kayed">Kayed</a> and Khaled F. <a href="http://www.bibsonomy.org/author/Shaalan">Shaalan</a> </span><em>IEEE Transactions on Knowledge and Data Engineering</em><em>18(10):1411--1428</em>(<em>2006</em>) <em>Member-Chia-Hui Chang and Member-Moheb Ramzy Girgis . </em>Fri Jul 13 11:51:56 CEST 2007Piscataway, NJ, USAIEEE Transactions on Knowledge and Data EngineeringMember-Chia-Hui Chang and Member-Moheb Ramzy Girgis101411--1428A Survey of Web Information Extraction Systems182006extraction KI2007WebMining information ie survey http://www.bibsonomy.org/bibtex/2ae38feafcd3a224c31449755c77cf4fe/kdekde2007-07-13T11:51:15+02:00KI2007WebMining imported <span style="color:#555555;">H. <a href="http://www.bibsonomy.org/author/Kato">Kato</a> and T. <a href="http://www.bibsonomy.org/author/Nakayama">Nakayama</a> and Y. <a href="http://www.bibsonomy.org/author/Yamane">Yamane</a> </span><em>Proc. WebKDD 2000, </em><em>page95--104. </em><em>Boston, MA, </em>(<em>2000</em>)Fri Jul 13 11:51:15 CEST 2007Boston, MAProc. WebKDD 200095--104Navigation analysis tool based on the correlation between contents distribution and access patterns.2000KI2007WebMining imported