Следене
Ira Assent
Ira Assent
Professor of Computer Science, Aarhus University, Denmark; IAS-8, Forschungszentrum Jülich
Потвърден имейл адрес: cs.au.dk
Заглавие
Позовавания
Позовавания
Година
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
GO Campos, A Zimek, J Sander, RJGB Campello, B Micenková, ...
Data mining and knowledge discovery 30, 891-927, 2016
8652016
Evaluating clustering in subspace projections of high dimensional data
E Müller, S Günnemann, I Assent, T Seidl
Proceedings of the VLDB Endowment 2 (1), 1270-1281, 2009
3662009
The clustree: indexing micro-clusters for anytime stream mining
P Kranen, I Assent, C Baldauf, T Seidl
Knowledge and information systems 29, 249-272, 2011
3522011
Clustering high dimensional data
I Assent
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (4 …, 2012
2152012
DUSC: Dimensionality unbiased subspace clustering
I Assent, R Krieger, E Müller, T Seidl
seventh IEEE international conference on data mining (ICDM 2007), 409-414, 2007
1682007
Explaining outliers by subspace separability
B Micenková, RT Ng, XH Dang, I Assent
2013 IEEE 13th international conference on data mining, 518-527, 2013
1532013
Clicks: An effective algorithm for mining subspace clusters in categorical datasets
MJ Zaki, M Peters, I Assent, T Seidl
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
1432005
Anyout: Anytime outlier detection on streaming data
I Assent, P Kranen, C Baldauf, T Seidl
Database Systems for Advanced Applications: 17th International Conference …, 2012
1342012
INSCY: Indexing subspace clusters with in-process-removal of redundancy
I Assent, R Krieger, E Müller, T Seidl
2008 Eighth IEEE International Conference on Data Mining, 719-724, 2008
1322008
Discriminative features for identifying and interpreting outliers
XH Dang, I Assent, RT Ng, A Zimek, E Schubert
2014 IEEE 30th international conference on data engineering, 88-99, 2014
1172014
Outlier ranking via subspace analysis in multiple views of the data
E Müller, I Assent, P Iglesias, Y Mülle, K Böhm
2012 IEEE 12th international conference on data mining, 529-538, 2012
1062012
The TS-tree: efficient time series search and retrieval
I Assent, R Krieger, F Afschari, T Seidl
Proceedings of the 11th international conference on Extending database …, 2008
1062008
Relevant subspace clustering: Mining the most interesting non-redundant concepts in high dimensional data
E Müller, I Assent, S Günnemann, R Krieger, T Seidl
2009 Ninth IEEE International Conference on Data Mining, 377-386, 2009
972009
Outsourced similarity search on metric data assets
ML Yiu, I Assent, CS Jensen, P Kalnis
IEEE Transactions on knowledge and data engineering 24 (2), 338-352, 2010
962010
Anticipatory DTW for efficient similarity search in time series databases
I Assent, M Wichterich, R Krieger, H Kremer, T Seidl
Proceedings of the VLDB Endowment 2 (1), 826-837, 2009
952009
OutRank: ranking outliers in high dimensional data
E Muller, I Assent, U Steinhausen, T Seidl
2008 IEEE 24th international conference on data engineering workshop, 600-603, 2008
952008
Approximation techniques for indexing the earth mover's distance in multimedia databases
I Assent, A Wenning, T Seidl
22nd International Conference on Data Engineering (ICDE'06), 11-11, 2006
952006
Self-adaptive anytime stream clustering
P Kranen, I Assent, C Baldauf, T Seidl
2009 Ninth IEEE International Conference on Data Mining, 249-258, 2009
912009
Local outlier detection with interpretation
XH Dang, B Micenková, I Assent, RT Ng
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
872013
VISA: visual subspace clustering analysis
I Assent, R Krieger, E Müller, T Seidl
ACM SIGKDD Explorations Newsletter 9 (2), 5-12, 2007
862007
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20