PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Müller, Emmanuel"

Author of the publication

copydeleteadd this publication to your clipboard
4S: Scalable subspace search scheme overcoming traditional Apriori processing.

, , and . BigData, page 359-367. IEEE Computer Society, (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Alexander Müller

Timo Müller University of Stuttgart

Niklas Müller University of Stuttgart

Theresa Müller University of Stuttgart

Johannes Müller University of Stuttgart

 

Other publications of authors with the same name

Unsupervised interaction-preserving discretization of multivariate data., , , and . Data Min. Knowl. Discov., 28 (5-6): 1366-1397 (2014)Identifying User Interests within the Data Space - a Case Study with SkyServer., , , , , and . EDBT, page 641-652. OpenProceedings.org, (2015)DUSC: Dimensionality Unbiased Subspace Clustering., , , and . ICDM, page 409-414. IEEE Computer Society, (2007)DensEst: Density Estimation for Data Mining in High Dimensional Spaces., , , , and . SDM, page 175-186. SIAM, (2009)4S: Scalable subspace search scheme overcoming traditional Apriori processing., , and . BigData, page 359-367. IEEE Computer Society, (2013)Flexible Subspace Search for Outlier Detection and Description.. LWA, page 121. Universitätsbibliothek Bamberg, (2013)Intrinsic Multi-scale Evaluation of Generative Models., , , , , , and . CoRR, (2019)Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets., , , , and . ECML/PKDD (1), volume 10534 of Lecture Notes in Computer Science, page 239-255. Springer, (2017)OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces., , , and . ECML/PKDD (2), volume 7524 of Lecture Notes in Computer Science, page 828-832. Springer, (2012)Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data., , , , and . ICDM, page 377-386. IEEE Computer Society, (2009)