- to ubiquitous workshop knowledge discovery 2008 pc by hotho on Jun 26, 2008, 3:31 PM
- to Bonn discovery learning by mboley on May 18, 2008, 5:13 PM
- to blog connotea bibsonomy 2008 discovery challenge ecml by hotho on May 17, 2008, 12:41 PM
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 recommend...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.
to challenge discovery ecml pkdd 2008 by jaeschke and 7 other people on May 14, 2008, 9:30 AMThis year's discovery challenge presents two tasks in the new area
of social bookmarking. One task covers spam detection and
the other covers tag ...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.
to myown discovery 2008 challenge pkdd dm bibsonomy workshop ml ecml by hotho and 7 other people on May 7, 2008, 6:19 PM- to knowledge discovery datamining by tino_sanchezm and 5 other people on Apr 28, 2008, 1:15 PM
CiteSpace is a freely available Java application for analyzing and visualizing scientific literature. CiteSpace is expanding its scope to include additiona...CiteSpace is a freely available Java application for analyzing and visualizing scientific literature. CiteSpace is expanding its scope to include additional data sources such as summaries of NSF awards. Click here for a direct WebStart, or downloading the package.
to java data viz knowledge discovery software by pitman and 4 other people on Apr 25, 2008, 7:30 PMEach week a new paper is discussed, seems to be mostly in the domain of knowledge discovery, text mining machine learning
to paper knowledge discovery by utahell and 1 other person on Feb 11, 2008, 4:43 PMSehr nette Übungsaufgaben zu Data Mining, allerdings etwas ML-lastig
to knowledge discovery exercises by utahell on Feb 1, 2008, 11:09 AMBook by Tan, Steinbach, Kumar; Lecture slides available
to discovery slides book knowledge by utahell and 1 other person on Jan 20, 2008, 11:39 PMA Dutch scientist thinks he has discovered a new species of wild pig nearly twice the size of other pigs in Brazil’s Amazon region.
to Research jungle pig environment News discovery Information by vincecow2 and 1 other person on Dec 31, 2007, 9:29 PMDeadline: April 25, 2008
to ml conference pkdd deadline discovery knowledge european ecml 2008 by stumme and 2 other people on Dec 19, 2007, 5:01 PMdescription of the need for data mining and analyrical technologies in the industry. introductory
to for:echo processing data analytic_technologies data_discovery data_processing mining discovery by apricot on Sep 9, 2007, 9:11 AMDatamining algorithms and theories, mostly mathematic-tech-wise.
to discovery structure mining data algorithms by apricot on Sep 3, 2007, 7:48 PMAls Praxisanteil am Seminar Mustererkennung mit Support-Vektor-Maschinen (SVM) im WS 01/02 und WS 02/03 sind einige Wettbewerbe entstanden, die nicht nur a...Als Praxisanteil am Seminar Mustererkennung mit Support-Vektor-Maschinen (SVM) im WS 01/02 und WS 02/03 sind einige Wettbewerbe entstanden, die nicht nur auf diese Veranstaltung begrenzt sind. Es werden jederzeit Lösungen auch von nicht-Seminarteilnehmern angenommen. Die besten Resultate werden auf dieser Seite aktuell gehalten.
to knowledge svm discovery kdd seminar lecture competition by jaeschke on Jul 10, 2007, 1:14 PM- to knowledge user recommendation discovery by christinek on Jun 27, 2007, 4:04 PM
Powerful Search Engine designed for Document Management, Competitive Intelligence, Press Analysis and Text Mining, Web Mining, Knowledge Discovery, Strateg...Powerful Search Engine designed for Document Management, Competitive Intelligence, Press Analysis and Text Mining, Web Mining, Knowledge Discovery, Strategic Watch...Has Report Writer, Web Spider, Publisher, more...
to semweb data datamining webmining textmining management natural_language_processing semsearch competitive search semanticsearch intelligence knowledge linguistics mining web screenscraping semanticweb webscraping semantic discovery document text semantics by avivagabriel on Jun 26, 2007, 6:35 PMA place to exchange ideas and comments about data mining research and applications.
to learning predictive exploratory knowledge mining discovery trend research blog analytics software pattern data statistical warehouse by saitta on Jun 25, 2007, 9:19 PM- to worklives spirit quizzes wellbeing bliss lifedev fire worklife careers living life personal coaching discovery lifework psychology counseling psychosocial spirituality passion development tests by avivagabriel on Jun 18, 2007, 5:38 AM
Biomedical data mining and knowledge discovery course at Stanford University. Links, resources, syllabus, bibliography.
to knowledge_discovery discovery mining data datamining information+retrieval information retrieval biomedical knowledge-discovery knowledge information-retrieval by avivagabriel on Jun 14, 2007, 6:07 AM
