Publications

36 results

Doctoral Theses

Kranen P.:
Anytime Algorithms for Stream Data Mining
Dissertation, Fakultät für Mathematik, Informatik und Naturwissenschaften, RWTH Aachen University (2011) Tag der mündlichen Prüfung: 14.09.2011
[[RWTH Bibliothek]] [urn:nbn:de:hbz:82-opus-38501]

Books and Chapters

Wichterich M., Kranen P., Assent I., Seidl T.:
Efficient EMD-based Similarity Search in Medical Image Databases
Plant C., Böhm C. (eds.): Database Technology for Life Sciences and Medicine, World Scientific Publishing P.175-201 (2010)
[World Scientific Publishing]
Kranen P., Müller E., Assent I., Krieger R., Seidl T.:
Incremental Learning of Medical Data for Multi-Step Patient Health Classification
Plant C., Böhm C. (eds.): Database Technology for Life Sciences and Medicine, World Scientific Publishing P.321-344 (2010)
[World Scientific Publishing ]

Journal Articles (peer reviewed)

Kranen P., Assent I., Seidl T.:
An Index-inspired Algorithm for Anytime Classification on Evolving Data Streams
Datenbank-Spektrum (Springer DASP), Volume 12, Issue 1 P.43-50 (2012) DOI: 10.1007/s13222-012-0083-9
[DASP Journal - full text]
Kranen P., Assent I., Baldauf C., Seidl T.:
The ClusTree: Indexing Micro-Clusters for Anytime Stream Mining
Knowledge and Information Systems Journal (Springer KAIS), Volume 29, Issue 2 P.249-272 (2011) DOI 10.1007/s10115-010-0342-8
[KAIS Journal - full text]
Bifet A., Holmes G., Pfahringer B., Kranen P., Kremer H., Jansen T., Seidl T.:
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Journal of Machine Learning Research (JMLR) Workshop and Conference Proceedings, Volume 11: Workshop on Applications of Pattern Analysis P.44-50 (2010)
[www.pascal-network.org/wapa2010] [JMLR Proc. Vol. 11] [pdf]
Kranen P., Seidl T.:
Harnessing the Strengths of Anytime Algorithms for Constant Data Streams
Data Mining and Knowledge Discovery Journal (Springer DMKD), Special Issue on Selected Papers from ECML PKDD 2009, Vol. 19, No. 2, P.245-260 (2009) [DOI 10.1007/s10618-009-0139-0]
[DMKD Journal - full text]

Conference papers (peer reviewed)

Zimmer (née Ivanescu) A., Driessen P., Kranen P., Seidl T.:
Inverse Predictions on Continuous Models in Scientific Databases
Proceedings of the 26th International Conference on Scientific and Statistical Database Management (2014) InversePredictionPaper.pdf
[SSDBM 2014]
Hassani M., Kranen P., Saini R., Seidl T.:
Subspace Anytime Stream Clustering
Proc. of the 26th International Conference on Scientific and Statistical Database Management (SSDBM 2014), Aalborg, Denmark. (2014) Article No. 37
[SSDBM 2014]
Kranen P., Wels S., Rohlfs T., Raubach S., Seidl T.:
A Tool for Automated Evaluation of Algorithms
Proceedings of The 21st ACM Conference on Information and Knowledge Management (CIKM 2012), Maui, USA P.2692-2694 (2012) (Demo)
Zimmer (née Ivanescu) A., Kranen P., Seidl T.:
Hinging Hyperplane Models for Multiple Predicted Variables
Proceedings of the 24th International Conference on Scientific and Statistical Database Management (SSDBM 2012), Chania, Greece P.431-448 (2012) MultivariateHingingHyperplaneModels.pdf
[SSDBM 2012]
Kranen P., Hassani M., Seidl T.:
BT* - An Advanced Algorithm for Anytime Classification
Proc. of the 24th International Conference on Scientific and Statistical Database Management (SSDBM 2012), Chania, Greece P.298-315 (2012)
[SSDBM 2012]
Assent I., Kranen P., Baldauf C., Seidl T.:
AnyOut: Anytime Outlier Detection on Streaming Data
The 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012), Busan, South Korea (2012)
[DASFAA 2012]
Zimmer (née Ivanescu) A., Kranen P., Smieschek M., Driessen P., Seidl T.:
PA-Miner: Process Analysis using Retrieval, Modeling, and Prediction
The 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012), Busan, South Korea (2012) (Demo)
[DASFAA 2012]
Kremer H., Kranen P., Jansen T., Seidl T., Bifet A., Holmes G., Pfahringer B.:
An Effective Evaluation Measure for Clustering on Evolving Data Streams
Proc. of the 17th ACM Conference on Knowledge Discovery and Data Mining (SIGKDD 2011), San Diego, CA, USA P.868-876 (2011)
[KDD 2011] [DOI: 10.1145/2020408.2020555]
Hassani M., Kranen P., Seidl T.:
Precise Anytime Clustering of Noisy Sensor Data with Logarithmic Complexity
Proc. 5th International Workshop on Knowledge Discovery from Sensor Data (SensorKDD 2011) in conjunction with 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, USA P.52-60 (2011)
[SensorKDD 2011] [KDD 2011]
Kranen P., Reidl F., Sanchez Villaamil F., Seidl T.:
Hierarchical Clustering for Real-Time Stream Data with Noise
Proc. of the 23nd International Conference on Scientific and Statistical Database Management (SSDBM 2011), Portland, Oregon, USA P.405-413 (2011)
[SSDBM 2011]
Bifet A., Holmes G., Pfahringer B., Read J., Kranen P., Kremer H., Jansen T., Seidl T.:
MOA: a Real-time Analytics Open Source Framework
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011), Athens, Greece P.617-620 (2011) (Demo)
[ECML PKDD 2011]
Bifet A., Holmes G., Pfahringer B., Kranen P., Kremer H., Jansen T., Seidl T.:
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Journal of Machine Learning Research (JMLR) Workshop and Conference Proceedings, Volume 11: Workshop on Applications of Pattern Analysis P.44-50 (2010)
[www.pascal-network.org/wapa2010] [JMLR Proc. Vol. 11] [pdf]
Kranen P., Günnemann S., Fries S., Seidl T.:
MC-Tree: Improving Bayesian Anytime Classification
Proc. of the 22nd International Conference on Scientific and Statistical Database Management (SSDBM 2010), Heidelberg, Germany, Springer LNCS P.252-269 (2010)
[SSDBM 2010] [DOI: 10.1007/978-3-642-13818-8_19]
Kranen P., Krieger R., Denker S., Seidl T.:
Bulk loading Hierarchical Mixture Models for Efficient Stream Classification
Proc. 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), Hyderabad, India. Springer LNAI P.325-334 (2010)
[PAKDD 2010] [DOI: 10.1007/978-3-642-13672-6_32]
Müller E., Kranen P., Nett M., Reidl F., Seidl T.:
Air-Indexing on Error Prone Communication Channels
Proc. of the 15th International Conference on Database Systems for Advanced Applications (DASFAA 2010), Tsukuba, Japan, Springer LNCS 5981 P.505-519 (2010)
[DASFAA 2010]
Assent I., Kranen P., Baldauf C., Seidl T.:
Detecting Outliers on Arbitrary Data Streams using Anytime Approaches
International Workshop on Novel Data Stream Pattern Mining Techniques (StreamKDD 2010) in conjunction with 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA P.10-16 (2010)
[StreamKDD 2010] [online proceedings]
Bifet A., Holmes G., Pfahringer B., Kranen P., Kremer H., Jansen T., Seidl T.:
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Invited presentation at the International Workshop on Handling Concept Drift in Adaptive Information Systems in conjunction with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010). P.3-16 (2010)
Kranen P., Kremer H., Jansen T., Seidl T., Bifet A., Holmes G., Pfahringer B.:
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA
Proc. IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia P.1400-1403 (2010) (Demo)
[ICDM 2010]
Kranen P., Kremer H., Jansen T., Seidl T., Bifet A., Holmes G., Pfahringer B.:
Benchmarking Stream Clustering Algorithms within the MOA Framework
16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA (2010) 2010 KDD - MOA (demo).pdf(Demo)
[KDD 2010]
Kranen P., Assent I., Baldauf C., Seidl T.:
Self-Adaptive Anytime Stream Clustering
Proc. IEEE International Conference on Data Mining (ICDM 2009), Miami, USA P.249-258 (2009) (full paper acceptance rate 8.9%)
[ICDM 2009] [DOI: 10.1109/ICDM.2009.47]
Kranen P., Seidl T.:
Harnessing the Strengths of Anytime Algorithms for Constant Data Streams
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009), Bled, Slowenia. P.31 (2009) The Paper has additionally been chosen for publication in the Data Mining and Knowledge Discovery Journal, ECML PKDD Special Issue (acceptance rate 3.3%).
[ECML PKDD 2009]
Seidl T., Assent I., Kranen P., Krieger R., Herrmann J.:
Indexing Density Models for Incremental Learning and Anytime Classification on Data Streams
Proc. 12th International Conference on Extending Database Technology (EDBT/ICDT 2009), Saint-Petersburg, Russia. P.311-322 (2009)
[EDBT/ICDT 2009] [DOI: 10.1145/1516360.1516397]
Kranen P.:
Using Index Structures for Anytime Stream Mining
PhD Workshop of the International Conference on Very Large Data Bases (VLDB 2009), Lyon, France (2009) 2009 VLDB (PhD Workshop) - Anytime Stream Mining.pdf
[VLDB 2009]
Wichterich M., Assent I., Kranen P., Seidl T.:
Efficient EMD-based Similarity Search in Multimedia Databases via Flexible Dimensionality Reduction
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2008), Vancouver, BC, Canada. P.199-212 (2008) (full paper acceptance rate 17.9%)
[SIGMOD 2008] [DOI: 10.1145/1376616.1376639]
Kranen P., Kensche D., Kim S., Zimmermann N., Müller E., Quix C., Li X., Gries T., Seidl T., Jarke M., Leonhardt S.:
Mobile Mining and Information Management in HealthNet Scenarios
Proceedings of the 9th IEEE MDM International Conference on Mobile Data Management (MDM 2008), Beijing, China P.215-216 (2008) (Demo)
[MDM 2008]
Müller E., Kranen P., Nett M., Reidl F., Seidl T.:
A General Framework for Data Dissemination Simulation for Real World Scenarios
Proceedings of the 14th ACM SIGMOBILE International Conference on Mobile Computing and Networking (MobiCom 2008), San Francisco, USA (2008) (Demo)
[ACM MobiCom 2008]
Kim S., Leonhardt S., Zimmermann N., Kranen P., Kensche D., Müller E., Quix C.:
Influence of contact pressure and moisture on the signal quality of a newly developed textile ECG sensor shirt
5th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2008), Hong Kong, China (2008)
[BSN 2008]
Aleksandrowicz A., Kensche D., Kim S., Kranen P., Müller E., Quix C.:
Mobile and Wearable P2P Information Management in HEALTHNET Applications
IEEE Benelux Chapter on Engineering in Medicine and Biology (EMB) (2007)

Miscellaneous (not reviewed)

Hassani M., Kranen P., Seidl T.:
Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time
KDML Workshop on Knowledge Discovery, Data Mining and Machine Learning in conj. with LWA 2011, Magdeburg, Germany (2011)
[LWA 2011]