Ira Assent
Ira Assent
Associate Professor of Computer Science, Aarhus University, Denmark
Email verificata su cs.au.dk - Home page
TitoloCitata daAnno
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
2882009
The ClusTree: indexing micro-clusters for anytime stream mining
P Kranen, I Assent, C Baldauf, T Seidl
Knowledge and information systems 29 (2), 249-272, 2011
2442011
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 (4), 891-927, 2016
2212016
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
1472007
Clicks: An effective algorithm for mining subspace clusters in categorical datasets
MJ Zaki, M Peters, I Assent, T Seidl
Data & Knowledge Engineering 60 (1), 51-70, 2007
1282007
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
1102008
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
872008
Anyout: Anytime outlier detection on streaming data
I Assent, P Kranen, C Baldauf, T Seidl
International Conference on Database Systems for Advanced Applications, 228-242, 2012
832012
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface
M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ...
Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006
822006
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
802009
Explaining outliers by subspace separability
B Micenková, RT Ng, XH Dang, I Assent
2013 IEEE 13th international conference on data mining, 518-527, 2013
79*2013
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
792010
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
782006
Clustering high dimensional data
I Assent
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (4 …, 2012
742012
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
742008
Self-adaptive anytime stream clustering
P Kranen, I Assent, C Baldauf, T Seidl
2009 Ninth IEEE International Conference on Data Mining, 249-258, 2009
702009
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
672012
Efficient emd-based similarity search in multimedia databases via flexible dimensionality reduction
M Wichterich, I Assent, P Kranen, T Seidl
Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008
672008
VISA: visual subspace clustering analysis
I Assent, R Krieger, E Müller, T Seidl
ACM SIGKDD Explorations Newsletter 9 (2), 5-12, 2007
642007
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
612009
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20