10. PKDD 2006:
Berlin,
Germany
Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (Eds.):
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 Springer 2006, ISBN 3-540-45374-1 BibTeX
Invited Talks
Long Papers
- Martin Atzmüller, Frank Puppe:
SD-Map - A Fast Algorithm for Exhaustive Subgroup Discovery.
6-17
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- Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare:
Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics.
18-29
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- Levent Bolelli, Seyda Ertekin, C. Lee Giles:
Clustering Scientific Literature Using Sparse Citation Graph Analysis.
30-41
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- Bouchra Bouqata, Christopher D. Carothers, Boleslaw K. Szymanski, Mohammed Javeed Zaki:
VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences.
42-54
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- Björn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen:
Don't Be Afraid of Simpler Patterns.
55-66
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- Gladys Castillo, João Gama:
An Adaptive Prequential Learning Framework for Bayesian Network Classifiers.
67-78
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- Nicolas Cebron, Michael R. Berthold:
Adaptive Active Classification of Cell Assay Images.
79-90
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- Soumen Chakrabarti, Alekh Agarwal:
Learning Parameters in Entity Relationship Graphs from Ranking Preferences.
91-102
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- Duen Horng Chau, Shashank Pandit, Christos Faloutsos:
Detecting Fraudulent Personalities in Networks of Online Auctioneers.
103-114
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- Ian Davidson, Kiri Wagstaff, Sugato Basu:
Measuring Constraint-Set Utility for Partitional Clustering Algorithms.
115-126
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- Christoph F. Eick, Banafsheh Vaezian, Dan Jiang, Jing Wang:
Discovery of Interesting Regions in Spatial Data Sets Using Supervised Clustering.
127-138
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- Johannes Fischer, Volker Heun, Stefan Kramer:
Optimal String Mining Under Frequency Constraints.
139-150
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- Arik Friedman, Assaf Schuster, Ran Wolff:
k-Anonymous Decision Tree Induction.
151-162
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- Gemma C. Garriga, Petra Kralj, Nada Lavrac:
Closed Sets for Labeled Data.
163-174
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- Hannes Heikinheimo, Heikki Mannila, Jouni K. Seppänen:
Finding Trees from Unordered 0-1 Data.
175-186
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- Jiayuan Huang, Tingshao Zhu, Dale Schuurmans:
Web Communities Identification from Random Walks.
187-198
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- Jiayuan Huang, Tingshao Zhu, Russell Greiner, Dengyong Zhou, Dale Schuurmans:
Information Marginalization on Subgraphs.
199-210
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- Tsuyoshi Idé:
Why Does Subsequence Time-Series Clustering Produce Sine Waves?
211-222
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- Georgiana Ifrim, Gerhard Weikum:
Transductive Learning for Text Classification Using Explicit Knowledge Models.
223-234
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- Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto:
Exploring Multiple Communities with Kernel-Based Link Analysis.
235-246
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- Alípio Mário Jorge, Paulo J. Azevedo, Fernando Pereira:
Distribution Rules with Numeric Attributes of Interest.
247-258
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- Masahiro Kimura, Kazumi Saito:
Tractable Models for Information Diffusion in Social Networks.
259-271
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- Chi-Hoon Lee, Russell Greiner, Osmar R. Zaïane:
Efficient Spatial Classification Using Decoupled Conditional Random Fields.
272-283
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- Jessica Lin, Eamonn J. Keogh:
Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data.
284-296
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- Kun Liu, Chris Giannella, Hillol Kargupta:
An Attacker's View of Distance Preserving Maps for Privacy Preserving Data Mining.
297-308
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- Ying Liu, Alok N. Choudhary, Jianhong Zhou, Ashfaq A. Khokhar:
A Scalable Distributed Stream Mining System for Highway Traffic Data.
309-321
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- Panagis Magdalinos, Christos Doulkeridis, Michalis Vazirgiannis:
K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality Maintenance.
322-334
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- Pauli Miettinen, Taneli Mielikäinen, Aristides Gionis, Gautam Das, Heikki Mannila:
The Discrete Basis Problem.
335-346
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- Alec Pawling, Nitesh V. Chawla, Amitabh Chaudhary:
Evaluation of Summarization Schemes for Learning in Streams.
347-358
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- Marko Salmenkivi:
Efficient Mining of Correlation Patterns in Spatial Point Data.
359-370
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- Duygu Ucar, Sitaram Asur, Ümit V. Çatalyürek, Srinivasan Parthasarathy:
Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs.
371-382
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- Celine Vens, Jan Ramon, Hendrik Blockeel:
Refining Aggregate Conditions in Relational Learning.
383-394
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- Herna L. Viktor, Eric Paquet, Hongyu Guo:
Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification.
395-406
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- Michail Vlachos, Spiros Papadimitriou, Zografoula Vagena, Philip S. Yu:
RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings.
407-420
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- Michael Wurst, Martin Scholz:
Distributed Subgroup Mining.
421-433
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- Ziming Zhuang, Silviu Cucerzan, C. Lee Giles:
Network Flow for Collaborative Ranking.
434-445
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Short Papers
- Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek:
Finding Hierarchies of Subspace Clusters.
446-453
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- Toon Calders, Bart Goethals, Adriana Prado:
Integrating Pattern Mining in Relational Databases.
454-461
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- Joe Catalano, Tom Armstrong, Tim Oates:
Discovering Patterns in Real-Valued Time Series.
462-469
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- Giorgio Corani, Chris Edgar, Isabelle Marshall, Keith Wesnes, Marco Zaffalon:
Classification of Dementia Types from Cognitive Profiles Data.
470-477
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- Ian Davidson, Wei Fan:
When Efficient Model Averaging Out-Performs Boosting and Bagging.
478-486
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- Nele Dexters, Paul W. Purdom, Dirk Van Gucht:
Peak-Jumping Frequent Itemset Mining Algorithms.
487-494
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- Khalid El-Arini, Andrew W. Moore, Ting Liu:
Autonomous Visualization.
495-502
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- Eibe Frank, Remco R. Bouckaert:
Naive Bayes for Text Classification with Unbalanced Classes.
503-510
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- Amol Ghoting, Srinivasan Parthasarathy:
Knowledge-Conscious Data Clustering.
511-519
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- Songtao Guo, Xintao Wu, Yingjiu Li:
On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data Mining.
520-527
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- Attila Gyenesei, Ralph Schlapbach, Etzard Stolte, Ulrich Wagner:
Frequent Pattern Discovery Without Binarization: Mining Attribute Profiles.
528-535
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- Jian Huang, Seyda Ertekin, C. Lee Giles:
Efficient Name Disambiguation for Large-Scale Databases.
536-544
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- Bernard Hugueney:
Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance Measures.
545-552
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- Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur:
A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction.
553-560
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- Tao Jiang, Ah-Hwee Tan:
Discovering Image-Text Associations for Cross-Media Web Information Fusion.
561-568
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- Steffen Kempe, Jochen Hipp:
Mining Sequences of Temporal Intervals.
569-576
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- Arno J. Knobbe, Eric K. Y. Ho:
Pattern Teams.
577-584
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- Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes:
Compression Picks Item Sets That Matter.
585-592
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- Xin Li, Bing Liu, Philip S. Yu:
Discovering Overlapping Communities of Named Entities.
593-600
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- Juho Muhonen, Hannu Toivonen:
Closed Non-derivable Itemsets.
601-608
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- Satoshi Oyama, Katsumi Tanaka:
Learning a Distance Metric for Object Identification Without Human Supervision.
609-616
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- Ricardo Silva, Richard Scheines:
Towards Association Rules with Hidden Variables.
617-624
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- Christian Manuel Strobel, Tomas Hrycej:
A Data Mining Approach to the Joint Evaluation of Field and Manufacturing Data in Automotive Industry.
625-632
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- Arun C. Surendran, Suvrit Sra:
Incremental Aspect Models for Mining Document Streams.
633-640
Electronic Edition (link) BibTeX
- Chao Wang, Srinivasan Parthasarathy:
Learning Approximate MRFs from Large Transaction Data.
641-649
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- Karina Wolfram, Andrea Porzel, Alexander Hinneburg:
Similarity Search for Multi-dimensional NMR-Spectra of Natural Products.
650-658
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Copyright © Sat May 16 23:33:28 2009
by Michael Ley (ley@uni-trier.de)
