Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sebastian Goebl"'
Publikováno v:
ICDM
How can we quickly explain large-scale directed and weighted graphs? We present Spectral Lens (SL) to analyze a variety of real-world networks with both negative and positive edge weights, like DBLP relationships, email communications and Bitcoin tru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9e21ba7bccab2788a73a37e2a95a165
https://doi.org/10.1109/icdm.2017.108
https://doi.org/10.1109/icdm.2017.108
Publikováno v:
ICDM
How can we fully structure a graph into pieces of meaningful information? Into structures that provide us with insights and carry a meaning beyond simple clustering. How can we also exploit these patterns to compress the graph for fast transmission a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78d969d1fd47c8c6e6152d4c70e6db4f
https://doi.org/10.1109/icdm.2016.0108
https://doi.org/10.1109/icdm.2016.0108
Publikováno v:
KDD
Multi-scale data which contains structures at different scales of size and density is a big challenge for spectral clustering. Even given a suitable locally scaled affinity matrix, the first k eigenvectors of such a matrix still cannot separate clust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79dde8439ac93228a2f3c50ade96ef2e
https://doi.org/10.1145/2939672.2939845
https://doi.org/10.1145/2939672.2939845
Publikováno v:
ICDM
The ability to simplify and categorize things is one of the most important elements of human thought, understanding, and learning. The corresponding explorative data analysis techniques -- dimensionality reduction and clustering -- have initially bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8864c7b2352860c0480f90cb00a98472
https://doi.org/10.1109/icdm.2014.34
https://doi.org/10.1109/icdm.2014.34
Publikováno v:
Information Technology in Bio-and Medical Informatics ISBN: 9783319102641
ITBAM
ITBAM
Dynamic Contrast Enhance-Magnetic Resonance Imaging (DCE-MRI) has proved to be a useful tool for diagnosing mass-like breast cancer. For non-mass-like lesions, however, no methods applied on DCE-MRI have shown satisfying results so far. The present p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdcd77439e6cb414804b9014d5e9cdf4
https://doi.org/10.1007/978-3-319-10265-8_4
https://doi.org/10.1007/978-3-319-10265-8_4
Publikováno v:
ICDM
Recently, fiber segmentation has become an emerging technique in neuroscience. Grouping fiber tracts into anatomical meaningful bundles allows to study the structure of the brain and to investigate onset and progression of neurodegenerative and menta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb8082988895da759c665e4abed8255f
https://doi.org/10.1109/icdm.2012.95
https://doi.org/10.1109/icdm.2012.95
Publikováno v:
SPIE Proceedings.
DCE-MRI represents an important tool for detecting subtle kinetic changes in breast lesion tissue. Non-masslike breast lesions exhibit an atypical dynamical behavior compared to mass-like lesions and pose a challenge to a computer-aided diagnosis sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::030211e0b063632de3d984fe12a7f92f
https://doi.org/10.1117/12.921952
https://doi.org/10.1117/12.921952
Autor:
Bianca Wackersreuther, Michael Plavinski, Sebastian Goebl, Annahita Oswald, Claudia Plant, Christian Bohm
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783642136566
PAKDD (1)
PAKDD (1)
Integrative mining of heterogeneous data is one of the major challenges for data mining in the next decade. We address the problem of integrative clustering of data with mixed type attributes. Most existing solutions suffer from one or both of the fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0763eb1d561840f713124aa2601131eb
https://doi.org/10.1007/978-3-642-13657-3_7
https://doi.org/10.1007/978-3-642-13657-3_7