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- Stöbern
- ml als Tag von allen Benutzern
- Verwandte Tags
- Konzepte
- Tags
- web
- tools
- folksonomy
- toread
- semantic
- social
- clustering
- search
- tagging
- 2.0
- mining
- myown
- conference
- learning
- ontology
- data
- bibsonomy
- workshop
- text
- software
- dataset
- recommender
- network
- ml
- taggingsurvey
- survey
- blog
- ir
- lecture
- dm
- 2006
- 2007
- analysis
- ol
- wiki
- pc
- 2008
- kdubiq
- bibtex
- classification
- nlp
- tag
- linux
- bookmarking
- java
- research
- science
- library
- community
- engine
- Mahout currently has Collaborative Filtering User and Item based recommenders K-Means, Fuzzy K-Means clustering Mean Shift clustering Dirichlet process clustering Latent Dirichlet Allocation Singular value decomposition Parallel Frequent Pattern mining Complementary Naive Bayes classifier Random forest decision tree based classifier High performance java collections (previously colt collections) A vibrant community and many more cool stuff to come by this summer thanks to Google summer of code · http://mahout.apache.org/Mahout currently has Collaborative Filtering User and Item based recommenders K-Means, Fuzzy K-Means clustering Mean Shift clustering Dirichlet process clustering Latent Dirichlet Allocation Singular value decomposition Parallel Frequent Pattern mining Complementary Naive Bayes classifier Random forest decision tree based classifier High performance java collections (previously colt collections) A vibrant community and many more cool stuff to come by this summer thanks to Google summer of code · http://mahout.apache.org/vor einem Jahr und 8 Monatenvon hotho1
- The Knowledge Discovery Machine Learning (KDML) group focuses on the neighboring subfields of computer science known as knowledge discovery in databases (KDD, sometimes referred to simply as data mining) and machine learning (ML). For us, these fields include on the one hand the automated analysis of large data sets using intelligent algorithms that are capable of extracting from the collected data hidden knowledge in order to produce models that can be used for prediction and decision making. On the other hand, they also include algorithms and systems that are capable of learning from experience and adapting to their environment or their users. · http://www-kd.iai.uni-bonn.de/index.php?page=softwareThe Knowledge Discovery Machine Learning (KDML) group focuses on the neighboring subfields of computer science known as knowledge discovery in databases (KDD, sometimes referred to simply as data mining) and machine learning (ML). For us, these fields include on the one hand the automated analysis of large data sets using intelligent algorithms that are capable of extracting from the collected data hidden knowledge in order to produce models that can be used for prediction and decision making. On the other hand, they also include algorithms and systems that are capable of learning from experience and adapting to their environment or their users. · http://www-kd.iai.uni-bonn.de/index.php?page=softwarevor 2 Jahren und 7 Monatenvon hotho1
- vor 4 Jahren und 2 Monatenvon hotho1
- Workshop Proposal: March 09, 2009 Submission Deadline: April 15, 2009 Authors Notification: June 01, 2009 Final Manuscript Due: June 15, 2009 · http://cse.stfx.ca/~socialcom09/Workshop Proposal: March 09, 2009 Submission Deadline: April 15, 2009 Authors Notification: June 01, 2009 Final Manuscript Due: June 15, 2009 · http://cse.stfx.ca/~socialcom09/vor 4 Jahren und 2 Monatenvon hotho1
- This year's discovery challenge presents two tasks in the new area of social bookmarking. One task covers spam detection and the other covers tag recommendations. As we are hosting the social bookmark and publication sharing system BibSonomy, we are able to provide a dataset of BibSonomy for the challenge. A training dataset for both tasks is provided at the beginning of the competition. The test dataset will be released 48 hours before the final deadline. Due to a very tight schedule we cannot grant any deadline extension. The presentation of the results will take place at the ECML/PKDD workshop where the top teams are invited to present their approaches and results. · http://www.kde.cs.uni-kassel.de/ws/rsdc08/This year's discovery challenge presents two tasks in the new area of social bookmarking. One task covers spam detection and the other covers tag recommendations. As we are hosting the social bookmark and publication sharing system BibSonomy, we are able to provide a dataset of BibSonomy for the challenge. A training dataset for both tasks is provided at the beginning of the competition. The test dataset will be released 48 hours before the final deadline. Due to a very tight schedule we cannot grant any deadline extension. The presentation of the results will take place at the ECML/PKDD workshop where the top teams are invited to present their approaches and results. · http://www.kde.cs.uni-kassel.de/ws/rsdc08/vor 5 Jahren und einem Monatvon hotho1
- @inproceedings{cone2006, author = {Sei-Hyung Lee and Karen M. Daniels}, Booktitle = {Proceedings of 6th SIAM Conference on Data Mining}, Date-Added = {2007-04-29 16:58:13 +0200}, Date-Modified = {2007-06-19 18:52:22 +0200}, Keywords = {SVM, clustering}, Month = {May}, Pages = {484–488}, Title = {Cone Cluster Labeling for Support Vector Clustering}, Url = {http://www.siam.org/meetings/sdm06/proceedings/046lees.pdf}, Year = {2006}, Bdsk-File-1 = {YnBsaXN0MDDUAQIDBAUGBwpZJGFyY2hpdmVyWCR2ZXJzaW9uVCR0b3BYJG9iamVjdHNfEA9OU0tleWVkQXJjaGl2ZXISAAGGoNEICVRyb290gAGoCwwXGBkaHiVVJG51bGzTDQ4PEBMWWk5TLm9iamVjdHNXTlMua2V5c1YkY2xhc3OiERKABIAFohQVgAKAA4AHXHJlbGF0aXZlUGF0aFlhbGlhc0RhdGFfEEsuLi8uLi8uLi9QYXBlcnMvTGVlL0NvbmUgQ2×1c3RlciBMYWJlbGluZyBmb3IgU3VwcG9ydCBWZWN0b3IgQ2×1c3RlcmluZy5wZGbSGw8cHVdOUy5kYXRhTxECLgAAAAACLgACAAAJRG9jdW1lbnRzAAAAAAAAAAAAAAAAAAAAAAAAvs54rkgrAAAANyVBH0NvbmUgQ2×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}, Bdsk-Url-1 = {http://www.siam.org/meetings/sdm06/proceedings/046lees.pdf} } · http://thesis.neminis.org/2007/12/03/support-vector-clustering-code/@inproceedings{cone2006, author = {Sei-Hyung Lee and Karen M. Daniels}, Booktitle = {Proceedings of 6th SIAM Conference on Data Mining}, Date-Added = {2007-04-29 16:58:13 +0200}, Date-Modified = {2007-06-19 18:52:22 +0200}, Keywords = {SVM, clustering}, Month = {May}, Pages = {484–488}, Title = {Cone Cluster Labeling for Support Vector Clustering}, Url = {http://www.siam.org/meetings/sdm06/proceedings/046lees.pdf}, Year = {2006}, Bdsk-File-1 = {YnBsaXN0MDDUAQIDBAUGBwpZJGFyY2hpdmVyWCR2ZXJzaW9uVCR0b3BYJG9iamVjdHNfEA9OU0tleWVkQXJjaGl2ZXISAAGGoNEICVRyb290gAGoCwwXGBkaHiVVJG51bGzTDQ4PEBMWWk5TLm9iamVjdHNXTlMua2V5c1YkY2xhc3OiERKABIAFohQVgAKAA4AHXHJlbGF0aXZlUGF0aFlhbGlhc0RhdGFfEEsuLi8uLi8uLi9QYXBlcnMvTGVlL0NvbmUgQ2×1c3RlciBMYWJlbGluZyBmb3IgU3VwcG9ydCBWZWN0b3IgQ2×1c3RlcmluZy5wZGbSGw8cHVdOUy5kYXRhTxECLgAAAAACLgACAAAJRG9jdW1lbnRzAAAAAAAAAAAAAAAAAAAAAAAAvs54rkgrAAAANyVBH0NvbmUgQ2×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}, Bdsk-Url-1 = {http://www.siam.org/meetings/sdm06/proceedings/046lees.pdf} } · http://thesis.neminis.org/2007/12/03/support-vector-clustering-code/vor 5 Jahren und einem Monatvon hotho1
- Each week a new paper is discussed, seems to be mostly in the domain of knowledge discovery, text mining machine learning · http://www.paperoftheweek.com/Each week a new paper is discussed, seems to be mostly in the domain of knowledge discovery, text mining machine learning · http://www.paperoftheweek.com/vor 5 Jahren und 4 Monatenvon hotho1
- Beate Navarro Bullock, Robert Jäschke, und Andreas Hotho. Proceedings of the ACM WebSci'11, (Juni 2011)Beate Navarro Bullock, Robert Jäschke, und Andreas Hotho. Proceedings of the ACM WebSci'11, (Juni 2011)vor einem Jahr und 5 Monatenvon hotho2
- Anish Das Sarma, Ankur Jain, Ashwin Machanavajjhala, und Philip Bohannon. (2011)cite arxiv:1111.3689.Anish Das Sarma, Ankur Jain, Ashwin Machanavajjhala, und Philip Bohannon. (2011)cite arxiv:1111.3689.vor einem Jahr und 6 Monatenvon hotho1
- Jie Tang, MingCai Hong, Juan-Zi Li, und Bangyong Liang. International Semantic Web Conference, Volume 4273 von Lecture Notes in Computer Science, Seite 640-653. Springer, (2006)Jie Tang, MingCai Hong, Juan-Zi Li, und Bangyong Liang. International Semantic Web Conference, Volume 4273 von Lecture Notes in Computer Science, Seite 640-653. Springer, (2006)vor 2 Jahren und 11 Monatenvon hotho1
- Beate Krause, Christoph Schmitz, Andreas Hotho, und Gerd Stumme. AIRWeb '08: Proceedings of the 4th international workshop on Adversarial information retrieval on the web, Seite 61--68. New York, NY, USA, ACM, (2008)Beate Krause, Christoph Schmitz, Andreas Hotho, und Gerd Stumme. AIRWeb '08: Proceedings of the 4th international workshop on Adversarial information retrieval on the web, Seite 61--68. New York, NY, USA, ACM, (2008)vor 4 Jahrenvon hotho7
- Usama M. Fayyad, Gregory Piatetsky-Shapiro, und Padhraic Smyth. Advances in Knowledge Discovery and Data Mining, (1996)Usama M. Fayyad, Gregory Piatetsky-Shapiro, und Padhraic Smyth. Advances in Knowledge Discovery and Data Mining, (1996)vor 4 Jahren und einem Monatvon hotho3
- Rakesh Agrawal, Tomasz Imielinski, und Arun Swami. SIGMOD '93: Proceedings of the 1993 ACM SIGMOD international conference on Management of data, Seite 207--216. New York, NY, USA, ACM Press, (1993)Rakesh Agrawal, Tomasz Imielinski, und Arun Swami. SIGMOD '93: Proceedings of the 1993 ACM SIGMOD international conference on Management of data, Seite 207--216. New York, NY, USA, ACM Press, (1993)vor 4 Jahren und einem Monatvon hotho1
- G. Tsoumakas, und I. Katakis. International Journal of Data Warehouse and Mining 3(3):1--13 (2007)G. Tsoumakas, und I. Katakis. International Journal of Data Warehouse and Mining 3(3):1--13 (2007)vor 4 Jahren und 2 Monatenvon hotho1
- Johanna Völker, Denny Vrandečić, York Sure, und Andreas Hotho. Applied Ontology 3(1-2):41--62 (2008)Johanna Völker, Denny Vrandečić, York Sure, und Andreas Hotho. Applied Ontology 3(1-2):41--62 (2008)vor 4 Jahren und 5 Monatenvon hotho2
- Yang Song, Lu Zhang, und C. Lee Giles. CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining, Seite 93--102. New York, NY, USA, ACM, (2008)Yang Song, Lu Zhang, und C. Lee Giles. CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining, Seite 93--102. New York, NY, USA, ACM, (2008)vor 4 Jahren und 6 Monatenvon hotho1
- Ricardo Baeza-Yates, Liliana Calderón-Benavides, und Cristina González-Caro. String Processing and Information Retrieval (2006)Ricardo Baeza-Yates, Liliana Calderón-Benavides, und Cristina González-Caro. String Processing and Information Retrieval (2006)vor 4 Jahren und 9 Monatenvon hotho2
- Andreas Hotho, und Gerd Stumme. Künstliche Intelligenz (2007)Andreas Hotho, und Gerd Stumme. Künstliche Intelligenz (2007)vor 5 Jahren und 4 Monatenvon hotho1
- S. Bloehdorn, W. Buntine, und A. Hotho. Informatica 30(2):141-141 (2006)S. Bloehdorn, W. Buntine, und A. Hotho. Informatica 30(2):141-141 (2006)vor 5 Jahren und 5 Monatenvon hotho1
- Stephan Bloehdorn, Wray Buntine, und Andreas Hotho (Hrsg.). . (August 2005)Workshop at the 22nd International Conference on Machine Learning ICML 2005.Stephan Bloehdorn, Wray Buntine, und Andreas Hotho (Hrsg.). . (August 2005)Workshop at the 22nd International Conference on Machine Learning ICML 2005.vor 5 Jahren und 5 Monatenvon hotho1
- Sebastian Thrun, Wolfram Burgard, und Dieter Fox. (2001)Sebastian Thrun, Wolfram Burgard, und Dieter Fox. (2001)vor 5 Jahren und 8 Monatenvon hotho1
- Paul Buitelaar, Philipp Cimiano, und Bernardo Magnini (Hrsg.). . Frontiers in Artificial Intelligence IOS Press, (Juli 2005)Paul Buitelaar, Philipp Cimiano, und Bernardo Magnini (Hrsg.). . Frontiers in Artificial Intelligence IOS Press, (Juli 2005)vor 6 Jahrenvon hotho1
- Pierre Baldi, Paolo Frasconi, und Padhraic Smyth. Wiley, (April 2003)Pierre Baldi, Paolo Frasconi, und Padhraic Smyth. Wiley, (April 2003)vor 6 Jahren und einem Monatvon hotho1
- Ludovic Denoyer, und Patrick Gallinari. SIGIR Forum (2006)Ludovic Denoyer, und Patrick Gallinari. SIGIR Forum (2006)vor 6 Jahren und 5 Monatenvon hotho1
- F. Sebastiani. ACM Computing Surveys 34(1):1--47 (2002)F. Sebastiani. ACM Computing Surveys 34(1):1--47 (2002)vor 6 Jahren und 7 Monatenvon hotho1