Prof. Myra Spiliopoulou

Prof. Dr. rer. nat. habil. Myra Spiliopoulou

Fakultät für Informatik (FIN)
AG KMD: Wissensmanagement und Wissensentdeckung
Gebäude 29, Universitätsplatz 2, 39106, Magdeburg, Building 29, Room 135

Prof. Dr. rer. nat. habil. Myra Spiliopoulou

Fakultät für Informatik (FIN)
AG KMD: Wissensmanagement und Wissensentdeckung
Gebäude 29, Universitätsplatz 2, 39106, Magdeburg, G29-135
Vita

Prof. Myra Spiliopoulou
Faculty of Computer Science, Otto-von-Guericke-University Magdeburg
Academic title: Prof. Dr. rer.nat/Griechenland habil.
Place and date of birth: Athens, Greece, 1965

02/2003 - now Professor of Business Information Systems, Otto-von-Guericke-University Magdeburg
2001 - 2003 Professor and Department Chair of E-Business, Leipzig Graduate School of Management (Handelshochschule Leipzig), Leipzig, Germany
2000 - 2001 Dorothea-von-Erxleben professor, Otto-von-Guericke-University Magdeburg
2000 Habilitation with venia legendi for “Wirtschaftsinformatik” at the HU Berlin
1994 - 2000 Postdoc researcher – from June 1995 at a C1 position – at the Institute of Information Systems, Faculty of Economics, Humboldt-University Berlin
1992 PhD on parallel query optimization, University of Athens, Greece
1988 - 1994 PhD student and research assistant at the Dept. of Informatics, University of Athens, Greece
1986 - 1989 Work as software engineer in Athens, Greece
1982 - 1986 Study of Mathematics, University of Athens, Greece
Research & Projects
  • Data Mining
  • Web Mining
  • Text Mining
  • Stream Mining
  • Dynamic Aspects of Data Mining

An overview of all projects is under Research.

Cooperations
  • Aristotle University of Thessaloniki, Greece
  • Center of Biomedical Technology (CBT), Madrid, Spain
  • Karl-Franzens University Graz, Austria
  • Ludwig-Maximilian University Munich, Germany
  • University Medicine Greifswald, Germany
  • Universita Polytecnica de Madrid, Spain
  • Faculty of Medicine & Faculty of Engineering, University of Porto, Portugal
  • Fraunhofer IFF, Germany
  • Prudsys AG, Germany
  • Volkswagen, Germany
Publications

2017

Subpopulation Discovery and Validation in Epidemiological Data. EuroVis Workshop on Visual Analytics, 2017.

Scalable Online Top-N Recommender Systems. In Derek Bridge, and Heiner Stuckenschmidt (Eds.), E-Commerce and Web Technologies: 17th International Conference, EC-Web 2016, Porto, Portugal, September 5-8, 2016, Revised Selected Papers, 3--20, Springer International Publishing, 2017. URL

Forgetting techniques for stream-based matrix factorization in recommender systems. Knowledge and Information Systems, Aug 4, 2017. URL

Stream-based semi-supervised learning for recommender systems. Machine Learning, 1--28, 2017. URL

Combining Subgroup Discovery and Clustering to Identify Diverse Subpopulations in Cohort Study Data. Proc. of the 30th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS17), Thessaloniki, Greece, 2017.

Outpatient Tinnitus Clinic, Self-Help Web Platform, or Mobile Application to Recruit Tinnitus Study Samples?. Frontiers in Aging Neuroscience, (9):113, 2017. URL

ICE: Interactive Classification Rule Exploration on Epidemiological Data. Proc. of the 30th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS17), Thessaloniki, Greece, 2017.

Studying the Potential of Multi-Target Classification to Characterize Combinations of Classes with Skewed Distribution. Proc. of IEEE Symposium on Computer-Based Medical Systems, Thessaloniki, Greece, 2017.

2016

Identifying relevant features for a multi-factorial disorder with constraint-based subspace clustering. Proc. of the 29th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS16), IEEE, Dublin, Ireland and Belfast, Northern Ireland, 2016.

Prediction-Induced Drift as New Form of Drift. In Iris Pigeot, and Eyke Hüllermeier (Eds.), Joint Statistical Meeting DAGStat2016, Big Data and Data Science Track, 2016.

Multi-Class Probabilistic Active Learning. In Gal A. Kaminka, Maria Fox, Paolo Bouquet, Eyke Hüllermeier, Virginia Dignum, Frank Dignum, and Frank van Harmelen (Eds.), ECAI, (285):586-594, IOS Press, 2016. URL

Temporal Aspects of Stream Active Learning. Tagung der Deutschen Arbeitsgemeinschaft Statistik (DAGSTAT), 2016. URL

Probabilistic Active Learning for Active Class Selection. In Kory Mathewson, Kaushik Subramanian, and Robert Loftin (Eds.), Proc. of the NIPS Workshop on the Future of Interactive Learning Machines, 2016.

Inferring Delayed Neural Network Connections. In John Aston, Claudia Kirch, and Hernando Ombao (Eds.), Conference on Novel Statistical Methods in Neuroscience (NeuroStat 2016), 2016.

Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning. In Georg Krempl, Vincent Lemaire, Edwin Lughofer, and Daniel Kottke (Eds.), Active Learning: Applications, Foundations and Emerging Trends @iKnow 2016, 25-34, 2016. URL

A Comparative Study on Hyperparameter Optimization for Recommender Systems. In Elisabeth Lex, Roman Kern, Alexander Felfernig, Kris Jack, Dominik Kowald, and Emanuel Lacic (Eds.), Workshop on Recommender Systems and Big Data Analytics (RS-BDA'16) @ iKNOW 2016, 2016. URL

Learning Pressure Patterns for Patients with Diabetic Foot Syndrome. Proc. of the 29th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS16), IEEE, Dublin, Ireland and Belfast, Northern Ireland, June 2016.

Comparative Clustering of Plantar Pressure Distributions in Diabetics with Polyneuropathy May Be Applied to Reveal Inappropriate Biomechanical Stress. PLoS ONE, (11)8:1-12, Public Library of Science, August 2016. URL

A feature-based personalized recommender system for product-line configuration. In Bernd Fischer, and Ina Schaefer (Eds.), Proceedings of the 2016 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, GPCE 2016, 120-131, ACM, 2016. URL

Active Selection of Difficult Classes. Tagung der Deutschen Arbeitsgemeinschaft Statistik (DAGSTAT), 2016. URL

2015

Probabilistic Active Learning in Datastreams. In Elisa Fromont, Tijl De Bie, and Matthijs van Leeuwen (Eds.), Advances in Intelligent Data Analysis XIV, (9385):145-157, Springer International Publishing, 2015. URL

Clustering-Based Optimised Probabilistic Active Learning (COPAL). In Nathalie Japkowicz, and Stan Matwin (Eds.), Proc. of the 18th Int. Conf. on Discovery Science (DS 2015), (9356):101--115, Springer, 2015. URL

Semi-supervised Learning for Stream Recommender Systems. In Nathalie Japkowicz, and Stan Matwin (Eds.), Discovery Science, (9356):131-145, Springer International Publishing, 2015. URL

Forgetting Methods for Incremental Matrix Factorization in Recommender Systems. Proceedings of the 30th Annual ACM Symposium on Applied Computing, 947--953, ACM, New York, NY, USA, 2015. URL

Can we classify the participants of a longitudinal epidemiological study from their previous evolution?. Proc. of the 28th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS15), 121-126, IEEE, São Carlos and Ribeirão Preto, Brazil, June 2015. URL

A framework for validating the merit of properties that predict the influence of a twitter user. Expert Systems with Applications, (42)5:2824-2834, 2015. URL

Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI). Brain Informatics, 1-12, Springer Berlin Heidelberg, 2015. URL

Learning Relational User Profiles and Recommending Items as Their Preferences Change. International Journal on Artificial Intelligence Tools, (24)02:31 pages, 2015. URL

Ageing-Based Multinomial Naive Bayes Classifiers Over Opinionated Data Streams. In Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, and Alípio Jorge (Eds.), Machine Learning and Knowledge Discovery in Databases, (9284):401-416, Springer International Publishing, 2015. URL

Discovering and Monitoring Product Features and the Opinions on them with OPINSTREAM. Neurocomput., (Volume 150)Part A:Pages 1-346, Elsevier Science Publishers B. V., Amsterdam, The Netherlands, The Netherlands, 2015.

Incremental Active Opinion Learning Over a Stream of Opinionated Documents. WISDOM'15 (Workshop on Issues of Sentiment Discovery and Opinion Mining) 2015 at Knowledge Discovery and Data Mining, KDD'15 Workshops 2015, Sydney, Australia, August 10, 2015, 2015.

Extracting opinionated (sub)features from a stream of product reviews using accumulated novelty and internal re-organization. Information Sciences, -, 2015. URL

2014

Summarizing dynamic Social Tagging Systems. Expert Systems with Applications, (41)2:457-469, Elsevier BV, February 2014. URL

Mining longitudinal epidemiological data to understand a reversible disorder. Proc. of the 13th Int. Symposium on Intelligent Data Analysis (IDA'14), Springer, Leuven, Belgium, 2014.

Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis. Proc. of the 27th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS14), IEEE, Mount Sinai, NY, 2014. URL

Probabilistic Active Learning: A Short Proposition. In Torsten Schaub, Gerhard Friedrich, and Barry O'Sullivan (Eds.), Proceedings of the 21st European Conference on Artificial Intelligence (ECAI2014), August 18 -- 22, 2014, Prague, Czech Republic, (263)IOS Press, 2014. URL

Open Challenges for Data Stream Mining Research. SIGKDD Explorations, (Special Issue on Big Data):to appear, 2014. URL

Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency. In Saso Dzeroski, Pance Panov, Dragi Kocev, and Ljupco Todorovski (Eds.), Proceedings of the 17th Int. Conf. on Discovery Science (DS), Bled, Springer, 2014. URL

Hoeffding-CF: Neighbourhood-Based Recommendations on Reliably Similar Users. In Vania Dimitrova, Tsvi Kuflik, David Chin, Francesco Ricci, Peter Dolog, and Geert-Jan Houben (Eds.), User Modeling, Adaptation, and Personalization, (8538):146–157, Springer International Publishing, 2014. URL

Predicting the Performance of Collaborative Filtering Algorithms. Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14), 38:1--38:6, ACM, New York, NY, USA, 2014. URL

Selective Forgetting for Incremental Matrix Factorization in Recommender Systems. In Sašo Džeroski, Panče Panov, Dragi Kocev, and Ljupčo Todorovski (Eds.), Discovery Science, (8777):204-215, Springer International Publishing, 2014. URL

Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis. Expert Systems with Applications, (41)11:5405-5415, Elsevier BV, September 2014. URL

Subpopulation Discovery in Epidemiological Data with Subspace Clustering. Foundations of Computing and Decision Sciences (FCDS), (39)4:271-300, 2014. URL

Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets. In Calders et al. (Eds.), European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014) - DEMO TRACK, (8726):460-463, Springer Berlin Heidelberg, 2014. URL

Are Some Brain Injury Patients Improving More Than Others?. The 2014 International Conference on Brain Informatics and Health (BIH \'14), Warsaw, Poland., 2014.

xStreams: Recommending Items to Users with Time-evolving Preferences. 4th International Conference on Web Intelligence, Mining and Semantics(WIMS 14), Thessaloniki, Greece., 2014.

Data analysis, machine learning and knowledge discovery. In Myra Spiliopoulou, Lars Schmidt-Thieme, and Ruth Janning (Eds.), Studies in Classification, Data Analysis, and Knowledge Organization, Springer International Publishing, 2014. URL

Discovering and Monitoring Product Features and the Opinions on them with OPINSTREAM. Neurocomput., Elsevier Science Publishers B. V., Amsterdam, The Netherlands, The Netherlands, 2014.

Adaptive Semi Supervised Opinion Classifier With Forgetting Mechanism. Proc. of the 29th Annual ACM Symposium on Applied Computing, ACM, 2014.

A Semi-supervised Self-Adaptive Classifier over Opinionated Streams. Proceedings of the 2014 IEEE 14th International Conference on Data Mining Workshops, IEEE Computer Society, Washington, DC, USA, 2014.

2013

Referenzprozessabläufe für Telekommunikationsunternehmen. WIRTSCHAFTSINFORMATIK, (55)2:83-97, SP Gabler Verlag, 2013. URL

Reference Process Flows for Telecommunication Companies. Business & Information Systems Engineering, (5)2:83-96, SP Gabler Verlag, 2013. URL

Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region. In Hans-Peter Meinzer, Thomas Martin Deserno, Heinz Handels, and Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2013, 45-50, Springer Berlin Heidelberg, 2013. URL

Can we distinguish between benign and malignant breast tumors in DCE-MRI by studying a tumor's most suspect region only?. In Pedro Pereira Rodrigues, Mykola Pechenizkiy, João Gama, Ricardo Cruz-Correia, Jiming Liu, Agma J. M. Traina, Peter J. F. Lucas, and Paolo Soda (Eds.), CBMS, 77-82, IEEE, 2013. URL

Correcting the Usage of the Hoeffding Inequality in Stream Mining. In Allan Tucker, Frank Höppner, Arno Siebes, and Stephen Swift (Eds.), Advances in Intelligent Data Analysis XII, (8207):298-309, Springer Berlin Heidelberg, 2013. URL

Framework for Storing and Processing Relational Entities in Stream Mining. In Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, and Guandong Xu (Eds.), Advances in Knowledge Discovery and Data Mining, (7819):497-508, Springer Berlin Heidelberg, 2013. URL

Mining Multiple Threads of Streaming Data. Tutorial at the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), Gold Coast, Australia, April 2013. URL

Extracting Opinionated (Sub)Features from a Stream of Product Reviews. In Johannes Fürnkranz, Eyke Hüllermeier, and Tomoyuki Higuchi (Eds.), Discovery Science, (8140):340-355, Springer Berlin Heidelberg, 2013. URL

2012

Tranformation in Telecummunication - Analyse und Clustering von Real-life Projekten. (Multikonferenz Wirtschaftsinformatik 2012. - Berlin : Gito):985-997, 2012. URL

A holistic framework for the implementation of a next generation network. IJBIS, (9)4:385, Inderscience Publishers, 2012. URL

Advanced Topics on Data Stream Mining: Part II. Mining Multiple Streams. Bristol, UK, 24-28 Sept. 2012.

A Semi-supervised Incremental Clustering Algorithm for Streaming Data. Proc. of 16th Pacific-Asian Conf. on Knowledge Discovery (PAKDD 2012), Kuala Lumpur, Malaysia, May 2012.

FINGERPRINT: Summarizing Cluster Evolution in Dynamic Environments. Int.\ Journal of Data Warehousing and Mining (IJDWM), 2012.

Framework for Computer Aided Analysis of Medical Protocols in a Hospital.. In Emmanuel Conchon, Carlos Manuel B. A. Correia, Ana L. N. Fred, and Hugo Gamboa (Eds.), HEALTHINF, 225-230, SciTePress, 2012. URL

Where Are We Going? Predicting the Evolution of Individuals. In Jaakko Hollmén, Frank Klawonn, and Allan Tucker (Eds.), Advances in Intelligent Data Analysis XI, (7619):357-368, Springer Berlin Heidelberg, 2012. URL

Guest editorial: special issue on a decade of mining the Web. Data Mining and Knowledge Discovery, (24)3:473-477, Springer US, 2012. URL

Stream Mining in Education? Dealing with Evolution. Chania, Greece, 19-21 June 2012.

36th Annual Conf. of the German Classification Society (GfKl) on Data Analysis, Machine Learning and Knowledge Discovery (GfKl 2012). In Myra Spiliopoulou, Lars Schmidt-Thieme, and Ruth Janning (Eds.), Hildesheim, Germany, August 2012.

Discovering Global and Local Bursts in a Stream of News. Proceedings of the 27th Annual ACM Symposium on Applied Computing, 807--812, ACM, New York, NY, USA, 2012. URL

2011

Extracting Cross References from Life Science Databases for Search Result Ranking. Proceedings of the 20th ACM International Conference on Information and Knowledge Management, 1253--1258, ACM, New York, NY, USA, 2011. URL

Making Business Systems in the Telecommunication Industry More Customer-Oriented. In Jaroslav Pokorny, Vaclav Repa, Karel Richta, Wita Wojtkowski, Henry Linger, Chris Barry, and Michael Lang (Eds.), Information Systems Development, 169-180, Springer New York, 2011. URL

Novel Data Stream Pattern Mining Report on the StreamKDD'10 Workshop. SIGKDD Explor. Newsl., (12)2:54--55, ACM, New York, NY, USA, March 2011. URL

Summarization Meets Visualization on Online Social Networks. Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on, (1):475-478, August 2011. URL

On the Distinctiveness of Tags in Collaborative Tagging Systems. Proceedings of the International Conference on Web Intelligence, Mining and Semantics, 62:1--62:5, ACM, New York, NY, USA, 2011. URL

Classification in Presence of Drift and Latency. In Myra Spiliopoulou, Haixun Wang, Diane Cook, Jian Pei, Wei Wang, Osmar Zaïane, and Xindong Wu (Eds.), Proceedings of the 11th IEEE International Conference on Data Mining Workshops (ICDMW 2011), IEEE, 2011.

Online Clustering of High-Dimensional Trajectories under Concept Drift. In Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, and Michalis Vazirgiannis (Eds.), Machine Learning and Knowledge Discovery in Databases, (6912):261-276, Springer Berlin Heidelberg, 2011. URL

Summarizing Cluster Evolution in Dynamic Environments. In Beniamino Murgante, Osvaldo Gervasi, Andrés Iglesias, David Taniar, and BernadyO. Apduhan (Eds.), Computational Science and Its Applications - ICCSA 2011, (6783):562-577, Springer Berlin Heidelberg, 2011. URL

Query-Sets + + : A Scalable Approach for Modeling Web Sites. In Roberto Grossi, Fabrizio Sebastiani, and Fabrizio Silvestri (Eds.), String Processing and Information Retrieval, (7024):129-134, Springer Berlin Heidelberg, 2011. URL

Prediction of surgery duration using empirical anesthesia protocols. The first International Workshop on Knowledge Discovery in Health Care and Medicine. - Athen, 2011. URL

Classification Rule Mining for a Stream of Perennial Objects.. In Nick Bassiliades, Guido Governatori, and Adrian Paschke (Eds.), RuleML Europe, (6826):281-296, Springer, 2011. URL

A data generator for multi-stream data. The second International Workshop on Mining Ubiquitous and Social Environments, MUSE '11, September 5, 2011 Athens, Greece, 2011. URL

Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM. In Myra Spiliopoulou, Andreas Nürnberger, and Rene Schult (Eds.), September 2011. URL

Evolution in Social Networks: A Survey.. In Charu C. Aggarwal (Eds.), Social Network Data Analytics, 149-175, Springer, 2011. URL

Dealing with concept drift and class imbalance in multi-label stream classification. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, (2):1583-1588, July 2011. URL

2010

Services in electronic telecommunication markets: a framework for planning the virtualization of processes. Electronic Markets, (20)3-4:197-207, Springer-Verlag, 2010. URL

Eigenvector-based Clustering Using Aggregated Similarity Matrices. Proceedings of the 2010 ACM Symposium on Applied Computing, 1083--1087, ACM, New York, NY, USA, 2010. URL

Visually summarizing the Evolution of Documents under a Social Tag. In Martin Atzmüller, Dominik Benz, Andreas Hotho, and Gerd Stumme (Eds.), Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen & Adaptivitaet, Kassel, Germany, 2010. URL

Wissensmanagement kleiner und mittelständischer Unternehmen in Zeiten demographischen Wandels. (Wertschöpfungsmanagement im Mittelstand. - Wiesbaden : Gabler):43-69, 2010.

Privacy-preserving Query Log Mining for Business Confidentiality Protection. ACM Trans. Web, (4)3:10:1--10:26, ACM, New York, NY, USA, July 2010. URL

Density-based semi-supervised clustering. Data Mining and Knowledge Discovery, (21)3:345-370, Springer US, 2010. URL

Automated Constraint Selection for Semi-supervised Clustering Algorithm. In Pedro Meseguer, Lawrence Mandow, and RafaelM. Gasca (Eds.), Current Topics in Artificial Intelligence, (5988):151-160, Springer Berlin Heidelberg, 2010. URL

Tree Induction over Perennial Objects.. In Michael Gertz, and Bertram Ludäscher (Eds.), SSDBM, (6187):640-657, Springer, 2010. URL

2009

How does the implementation of a next generation network influence a telecommunication company?. (Online Proceedings of the European and Mediterranean Conference on Information Systems (EMCIS). - Brunel University)2009. URL

Topic Evolution in a Stream of Documents.. SDM, 859-872, SIAM, 2009. URL

Spectral Clustering in Social-Tagging Systems. In Gottfried Vossen, DarrellD.E. Long, and JeffreyXu Yu (Eds.), Web Information Systems Engineering - WISE 2009, (5802):87-100, Springer Berlin Heidelberg, 2009. URL

Tracing cluster transitions for different cluster types. Control and Cybernetics, (38)1:239-259, 2009. URL

C-DenStream: Using Domain Knowledge on a Data Stream. In João Gama, VítorSantos Costa, AlípioMário Jorge, and PavelB. Brazdil (Eds.), Discovery Science, (5808):287-301, Springer Berlin Heidelberg, 2009. URL

Stream Clustering of Growing Objects.. In João Gama, Vítor Santos Costa, Alípio Mário Jorge, and Pavel Brazdil (Eds.), Discovery Science, (5808):433-440, Springer, 2009. URL

Combining Multiple Interrelated Streams for Incremental Clustering.. In Marianne Winslett (Eds.), SSDBM, (5566):535-552, Springer, 2009. URL

08421 Working Group: Imprecision, Diversity and Uncertainty: Disentangling Threads in Uncertainty Management. In Christoph Koch, Birgitta König-Ries, Volker Markl, and Maurice van Keulen (Eds.), Uncertainty Management in Information Systems, 08421Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany, Dagstuhl, Germany, 2009. URL

Advances in Web mining and Web usage analysis revised papers. In Haizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee Giles, Andrew McCallum, Olfa Nasraoui, Jaideep Srivastava, and John Yen (Eds.), Springer, Berlin; Heidelberg; New York, NY, 2009. URL

Advances in Web Mining and Web Usage Analysis, 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers. In Haizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee Giles, Andrew McCallum, Olfa Nasraoui, Jaideep Srivastava, and John Yen (Eds.), WebKDD/SNA-KDD, (5439)Springer, 2009. URL

Finding Stops in Error-Prone Trajectories of Moving Objects with Time-Based Clustering. Intelligent Interactive Assistance and Mobile Multimedia Computing, (53):275-286, Springer Berlin Heidelberg, 2009.

2008

Discovering Groups of Sibling Terms from Web Documents with XTREEM-SG.. In Stefano Spaccapietra, Jeff Z. Pan, Philippe Thiran, Terry A. Halpin, Steffen Staab, Vojtech Svátek, Pavel Shvaiko, and John F. Roddick (Eds.), J. Data Semantics, (11):126-155, Springer, 2008. URL

On exploiting the power of time in data mining. SIGKDD explorations. - New York, NY : ACM, (10)2:3-11, 2008.

On Exploiting the Power of Time in Data Mining. SIGKDD Explor. Newsl., (10)2:3--11, ACM, New York, NY, USA, December 2008. URL

Studying community dynamics with an incremental graph mining algorithm. 14th Americas Conference on Information Systems. - Red Hook, NY : Curran, 2008.

Natural language and information systems 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, London, UK, June 24-27, 2008 : proceedings. Springer, Berlin; New York, 2008. URL

WebKDD'08 - 10 years of knowledge discovery on the web ; 10th International Workshop on Knowledge Discovery on the Web in conjunction with the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), August 24, 2008, Las Vegas, Nevada, USA ; proceedings. Las Vegas, 2008.

Higher order mining. SIGKDD explorations. - New York, NY : ACM, (10)1:5-17, 2008. URL

Contributing to market monitoring with topic evolution monitoring. Datenbank-Spektrum. - Berlin : Springer, (8)25:23-30, 2008. URL

Notes of knowledge discovery from evolving data. Antwerp, 2008.

Lifelong knowledge acquisition with topic monitoring. Informatik 2008 ; Bd. 1: Workshop E-Government und Digitale Archive - Workshop Gesundheitstelematik und eGK - Workshop SOA und EU-Dienstleistungsrichtlinie in der Öffentlichen Verwaltung - Workshop Security for Web Services and SOA - Workshop Software, Services und Plattformen für Neue Infrastrukturen in der Telekommunikation - Workshop Modellbasiertes Testen - Workshop Informationssysteme mit Open Source - Workshop Mobile and Embedded Interactive Systems - Workshop Vorgehensmodelle in der Praxis - Workshop IT-gestütztes Wissensmanagement - Workshop Elektronische Wahlen, Elektronische Teilhabe, Societyware: Beherrschbare Systeme? Wünschenswerte Systeme? - Workshop Mobiles Spielen. - Bonn : Ges. für Informatik, 378-385, 2008.

2007

Domain relevance on term weighting. Natural language processing and information systems. - Berlin u.a. : Springer, 427-432, 2007.

Acquiring Semantic Sibling Associations from Web Documents. Int. Journal of Data Warehousing and Mining (IJDWM), (3)4:83-98, October 2007. URL

Users in volatile communities - studying active participation and community evolution. User modeling 2007. - Berlin u.a. : Springer, 57-66, 2007.

Modeling, Discovering and Using User Communities. Corfu, Greece, June 2007.

Data mining for community dynamics. Künstliche Intelligenz. - Berlin : Springer, 3:23-29, 2007. URL

DENGRAPH - a density-based community detection algorithm. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2007). - Los Alamitos, Calif. u.a. : IEEE Computer Society, 112-115, 2007.

Advances in Web Mining and Web Usage Analysis 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 Philadelphia, USA, August 20, 2006 Revised Papers. Springer-Verlag Berlin Heidelberg, Berlin, Heidelberg, 2007. URL

Website Privacy Preservation for Query Log Publishing. In Francesco Bonchi, Elena Ferrari, Bradley Malin, and Yücel Saygin (Eds.), PinKDD, (4890):80-96, Springer, 2007. URL

Constraint-Based Query Clustering. Proc. of Atlantic Web Intelligence Conf. (AWIC'07), 304-309, Springer Verlag, 2007. URL

C-DBSCAN - density-based clustering with constraints. Rough sets, fuzzy sets, data mining and granular computing. - Berlin u.a. : Springer, 216-223, 2007.

Topic and cluster evolution over noisy document streams. Data mining patterns. - Hershey, Pa. u.a. : Information Science Reference, 220-239, 2007.

Monitoring cluster transitions with MONIC /Myra Spiliopoulou; Irene Ntoutsi; Yannis Theodoridis; Rene Schult. Business intelligence. - Hamburg : Kovac, 141-152, 2007.

Understanding change before adaption - tracing changes over a stream of data. LWA 2007. - Halle : Martin-Luther-Univ. Halle-Wittenberg, Inst. for Informatics, Databases and Information Systems, 10, 2007.

Discovering and Tracking User Communities. Warsaw, Poland, September 2007.

WebKDD/SNAKDD 2007 - web mining and social network analysis post-workshop report. SIGKDD explorations. - New York, NY : ACM, (9)2:87-92, 2007.

2006

Semantics, Web and Mining, Joint International Workshops, EWMF 2005 and KDO 2005, Porto, Portugal, October 3 and 7, 2005, Revised Selected Papers. In Markus Ackermann, Bettina Berendt, Marko Grobelnik, Andreas and Hotho, Dunja Mladenic, Giovanni Semeraro, Myra and Spiliopoulou, Gerd Stumme, Vojtech Svátek, and Maarten and van Someren (Eds.), 2006.

Discovering multi terms and co-hyponymy from XHTML documents with XTREEM. Knowledge discovery from XML documents. - Berlin u.a. : Springer, 22-32, 2006. URL

Discovering semantic sibling groups from web documents with XTREEM-SG. Managing knowledge in a world of networks. - Berlin u.a. : Springer, 141-157, 2006.

Discovering semantic sibling associations from web documents with XTREEM-SP. Data warehousing and knowledge discovery. - Berlin u.a. : Springer, 469-480, 2006.

Mining and visualizing the evolution of subgroups in social networks. The @2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 main conference proceedings), 2006 IEEE /WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006 main conference proceedings), 2006 IEEE /WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 workshop proceedings). - Los Alamitos, Calif. u.a. : IEEE Computer Society, (3):102-105, 2006.

Observing dynamics in community structures. AISB'06 ; Vol. 3. - Bristol : Univ., 102-105, 2006.

Community dynamics mining. 14th European Conference on Information Systems. - Göteborg, 2006.

Machine learning: ECML 2006 - 17th European Conference on Machine Learning, Berlin, Germany, September 18 - 22, 2006 ; proceedings. Lecture notes in computer science; 4212, Berlin u.a., 2006. URL

Knowledge discovery in databases: PKDD 2006 ; 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 ; proceedings. Lecture notes in computer science; 4213, Berlin u.a., 2006. URL

Current trends in database technology - EDBT 2006 - EDBT 2006 Workshops PhD, DataX, IIDB, IIHA, ICSNW, QLQP, PIM, PaRMa, and Reactivity on the Web, Munich, Germany, March 26-31, 2006 ; revised selected papers. Lecture notes in computer science; 4254, Berlin u.a., 2006. URL

User constraints over data streams. Proceedings of the 4th International Workshop on Knowledge Discovery from Data Streams. - Berlin, 117-126, 2006.

WebKDD 2006: Web Mining and Web Usage Analysis Post-workshop Report. SIGKDD Explor. Newsl., (8)2:84--89, ACM, New York, NY, USA, December 2006. URL

Advances in web mining and web usage analysis - 7th International Workshop on Knowledge Discovery on the Web, WebKDD 2005, Chicago, IL, USA, August 21, 2005 ; revised papers. Lecture notes in computer science; 4198, Berlin, 2006. URL

Expanding the taxonomies of bibliographic archives with persistent long-term themes. Applied computing 2006 ; Vol. 1. - New York, NY : Association for Computing Machinery, 627-634, April 2006. URL

Discovering emerging topics in unlabelled text collections. Advances in databases and information systems. - Berlin u.a. : Springer, 353-366, 2006.

Evaluation of Ontology Enhancement Tools. In Markus Ackermann, Bettina Berendt, Marko Grobelnik, Andreas Hotho, Dunja Mladenič, Giovanni Semeraro, Myra Spiliopoulou, Gerd Stumme, Vojtěch Svátek, and Maarten van Someren (Eds.), Semantics, Web and Mining, (4289):132-146, Springer Berlin Heidelberg, 2006. URL

The MONIC framework for cluster transition detection. 5th Hellenic Data Management Symposium, 7-8 September 2006, Thessaloniki, Greece; proceedings. - Thessaloniki, 90-99, 2006.

MONIC - modeling and monitoring cluster transitions. Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. - New York, NY : ACM Press, 706-711, 2006.

From data and information analysis to knowledge engineering - proceedings of the 29th annual conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9 - 11, 2005 ; with 120 tables. Studies in classification, data analysis, and knowledge organization, Berlin u.a., 2006. URL

2005

Debriefings: a knowledge management method to capture lessons learned in large-scale projects.. 2005.

Capturing experiences in large-scale product development projects using debriefing.. 2005.

Customer relationship management : data mining meets marketing (2005 international workshop New York City, USA November 18th and 19th 2005). - proceedings. New York, NY : Leonard N. Stern School of Business, 2005, ?. 2005.

Experimental Investigation of the Effects. Proc. of ECIS 2005, 2005. URL

The influence of incentives and culture on knowledge sharing.. Proc. of 38th Hawaiian Int. Conf. on System Science (HICSS 2005), January 2005.

WebKDD 2005 : web mining and web usage analysis post-workshop report.. 2005.

RELFIN : topic discovery for ontology enhancement and annotation.. Proc. of European Conference on the Semantic Web (ESWC 2005), 608-622, Springer Verlag Berlin Heidelberg, May 2005. URL

Temporal evolution and local patterns.. Local Patterns Detection, 190-206, Springer-Verlag Berlin Heidelberg, 2005.

Mining the Volatile Web. Porto, Portugal, October 2005.

Ontology Enhancement with Fine-Grained Text Mining - The RELFIN Suite. June 2005.

International journal of business intelligence and data mining. In Myra Spiliopoulou (Eds.), International journal of business intelligence and data mining., Inderscience Enterprises, Genève, Switzerland, 2005. URL

2005 Int. Workshop on Customer Relationship Management: Data Mining Meets Marketing (CRM'05). In Alex Tuzhilin, Russ Winer, Bing Liu, Myra Spiliopoulou, Jaideep Srivastava, Eitan Muller, Venky Shankar, and Joel Steckel (Eds.), NYU STERN, New York City, NY, November 2005.

2004

Monitoring the evolution of web usage patterns.. Web Mining: From Web to Semantic Web", First European Web Mining Forum (EWMF 2003), Invited and Selected Revised Papers, (LNAI 3209):181-200, Springer, 2004.

Web mining: from web to semantic web (First European web mining forum, EWMF 2003 Cavtat- Dubrovnik, Croatia, September 2003). - invited and selected papers. Berlin : Springer, 2004, VIII, 200 S. (Lecture notes in computer science 3209). In Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten and van Someren, Myra Spiliopoulou, and Gerd Stumme (Eds.), LNAI, Springer, 2004.

A roadmap for web mining : from web to semantic web.. 2004.

Towards an evaluation framework for knowledge management systems.. 2004.

Deriving multiple topics to label small document regions.. Proc.\ of 6th Int. Conf. on Data Warehousing and Knowledge Discovery (DAWAK\'04), 289-294, Springer, September 2004. URL

Studying knowledge trading with a business game.. 2004.

Evaluation in Web Mining. Pisa, Italy, September 2004.

Overview of the ACM SIGKDD 2004 workshop.. 2004.

Coupling information extraction and data mining for ontology learning in PARMENIDES.. Proc. of RIAO'2004, 2004.

2003

Efficient monitoring of patters in data mining environment.. Proc. of 7th East-European Conf. on Advances in Databases and Inf. Sys. (ADBIS'03), 253-265, Springer, September 2003.

Kursrelevanzprognose von Ad-hoc-Meldungen : Text Mining wider die Informationsüberlastung im Mobile Banking.. Proc. der 6. Internationalen Tagung Wirtschaftsinformatik (Medien - Märkte - Mobilität), 181-200, September 2003.

A Framework for the Evaluation of Session Reconstruction Heuristics in Web Usage Analysis. INFORMS Journal on Computing, Special Issue on``Mining Web-based Data for E-Business Applications''(eds. Rashid, Louiqa and Tuzhilin, Alex), 2003.

Text-Mining an der Börse: Einfluss von Ad-hoc-Mitteilungen auf die Kursentwicklung. Data Mining und Statistik in Hochschule undWirtschaft", Proc. der 7. Konferenz der SAS-Anwender inForschung und Entwicklung (KSFE), 215--228, Shaker-Verlag, Potsdam, Germany, February 2003.

WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles, 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers. In Osmar R. Zaïane, Jaideep Srivastava, Myra Spiliopoulou, and Brij M. Masand (Eds.), LNAI 2703, Springer, 2003.

2002

Monitoring the Results of the KDD Process: An Overview of Pattern Evolution. In J. M. Meij (Eds.), Dealing with the Data Flood: Mining data, text and+multimedia, 845-863, STT Netherlands Study Center for Technology Trends, The Hague, Netherlands, April 2002.

Web Usage Mining for E-Business Applications. Helsinki, Finland, August 2002.

Assoziations- und Pfadanalyse --- Entdeckung von Abhängigkeiten. In Hajo Hippner, Melanie Merzenich, and Klaus Wilde (Eds.), Handbuch Web Mining im Marketing, 143-162, vieweg, 2002.

WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points, Third International Workshop, San Francisco, CA, USA, August 26, 2001, Revised Papers. In Ron Kohavi, Brij M. Masand, Myra Spiliopoulou, and Jaideep Srivastava (Eds.), LNAI 2356, Springer, 2002.

Journal of Data Mining and Knowledge Discovery, Special Issue on Web Mining. In Ron Kohavi, Brij Masand, Myra Spiliopoulou, and Srivastava Jaideep (Eds.), (6(1))Kluwer Academic Publishers, January 2002.

Electronic Marketplaces of Knowledge: Characteristics and Sharing of Knowledge Assets. Proceedings of the International Conference on Advances inInfrastructure for e-Business, e-Education, e-Science, and e-Medicine on theInternet (SSGRR 2002w), Scuola Superiore G. Reiss Romoli, L'Aquila: Italy, January 2002.

Expertenrat in E-Marketplaces. HMD Praxis der Wirtschaftsinformatik, (223):38-48, dpunkt.verlag, 2002.

Building and Exploiting Ad Hoc Concept Hierarchies for Web Log Analysis. Proc. of 4th Int. Conf. on Data Warehousing and KnowledgeDiscovery, DaWaK 2002, Aix-en-Provence, September 2002.

A Survey of Temporal Knowledge Discovery Paradigms and Methods. IEEE Trans. of Knowledge and Data Engineering, (14)4:750-767, July 2002.

Modelling and Incorporating Background Knowledge in the Web Mining Process. In David Hand, Niall Adams, and Richard Bolton (Eds.), Proc. of ESF Exploratory Workshop onPattern Detection and Discovery, 154-169, Springer Verlag, London, UK, September 2002.

Wie werden Surfer zu Kunden? Navigationsanalyse zur Ermittlung des Konversionspotenzials verschiedener Sitebereiche. In Hajo Hippner, Melanie Merzenich, and Klaus Wilde (Eds.), Handbuch Web Mining im Marketing, 394-405, vieweg, 2002.

Modelling Web Site Usage with Sequences of Goal-Oriented Tasks. In Christof Weinhardt, and Carsten Holtmann (Eds.), Proc. of Workshop E-Commerce: Netze, Markte,Technologien, in Multikonferenz der Wirtschaftsinformatik(MKWI'02), 203-222, Physica Verlag, Nürnberg, Germany, September 2002.

Text Mining auf Handelsregistereintragen: Der SAS Enterprise Miner im Einsatz. In Klaus Wilde, Hajo Hippner, and Melanie Merzenich (Eds.), Data Mining: Mehr Gewinn aus IhrenKundendaten, 117-124, Verlagsgruppe Handelsblatt, Düsseldorf, 2002.

Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD. 6th European Conf. on Principles and Practice of KnowledgeDiscovery in Databases, PKDD\'02, 461-474, Springer Verlag, Helsinki, Finland, August 2002.

Employing Text Mining for Semantic Tagging in DIAsDEM. KI: Künstliche Intelligenz: Themenheft Text Mining, (16)2:27-29, 2002.

2001

Measuring the Accuracy of Sessionizers for Web Usage Analysis. Int. SIAM Workshop on Web Mining, April 2001.

Semantic tagging pf domain-specific text documents with DIASsDEM.. 2001.

Data mining for measuring and improving the success of web sites.. 2001.

Kontrolle der Präsentation und Vermarktung von Gütern im WWW.. 2001.

 

 

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