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Knowledge discovery in databases : PKDD 2006 : 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006 : proceedings

Author: Johannes Fürnkranz; Tobias Scheffer; Myra Spiliopoulou
Publisher: Berlin ; New York : Springer, 2006.
Series: LNCS sublibrary., SL 7,, Artificial intelligence.; Lecture notes in computer science, 4213.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats
Database:WorldCat
Summary:

Constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006. This book presents 36 revised full papers and 26  Read more...

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Genre/Form: Conference papers and proceedings
Congresses
Congrès
Material Type: Conference publication, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Johannes Fürnkranz; Tobias Scheffer; Myra Spiliopoulou
ISBN: 3540453741 9783540453741
OCLC Number: 71747787
Description: xxii, 660 pages : illustrations ; 24 cm.
Contents: On temporal evolution in data streams / Charu C. Aggarwal --
The future of CiteSeer : CiteSeer[superscript x] / C. Lee Giles --
Learning to have fun / Jonathan Schaeffer --
Winning the DARPA grand challenge / Sebastian Thrun --
Challenges of urban sensing / Henry Tirri --
SD-Map --
a fast algorithm for exhaustive subgroup discovery / Martin Atzmueller and Frank Puppe --
Decision trees for hierarchical multilable classification : a case study in functional genomics / Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski and Amanda Clare --
Clustering scientific literature using sparse citation graph analysis / Levent Bolelli, Seyda Ertekin and C. Lee Giles --
VOGUE : a novel variable order-gap state machine for modeling sequences / Bouchra Bouqata, Christopher D. Carothers, Boleslaw K. Szymanski and Mohammed J. Zaki --
Don't be afraid of simpler patterns / Bjorn Bringmann, Albrecht Zimmermann, Luc De Raedt and Siegfried Nijssen --
An adaptive prequential learning framework for Bayesian network classifiers / Gladys Castillo and Joao Gama --
Adaptive active classification of cell assay images / Nicolas Cebron and Michael R. Berthold --
Learning parameters in entity relationship graphs from ranking preferences / Soumen Chakrabarti and Alekh Agarwal --
Detecting fraudulent personalities in networks of online auctioneers / Duen Horng Chau, Shashank Pandit and Christos Faloutsos --
Measuring constraint-set utility for partitional clustering algorithms / Ian Davidson, Kiri L. Wagstaff and Sugato Basu --
Discovery of interesting regions in spatial data sets using supervised clustering / Christoph F. Eick, Banafsheh Vaezian, Dan Jiang and Jing Wang --
Optimal string mining under frequency constraints / Johannes Fischer, Volker Heun and Stefan Kramer --
k-anonymous decision tree induction / Arik Friedman, Assaf Schuster and Ran Wolff --
Closed sets for labeled data / Gemma C. Garriga, Petra Kralj and Nada Lavrac --
Finding trees from unordered 0-1 data / Hannes Heikinheimo, Heikki Mannila and Jouni K. Seppanen --
Web communities identification from random walks / Jiayuan Huang, Tingshao Zhu and Dale Schuurmans --
Information marginalization on subgraphs / Jiayuan Huang, Tingshao Zhu, Russell Greiner, Dengyong Zhou and Dale Schuurmans --
Why does subsequence time-series clustering produce sine waves? / Tsuyoshi Ide --
Transductive learning for text classification using explicit knowledge models / Georgiana Ifrim and Gerhard Weikum --
Exploring multiple communities with kernel-based link analysis / Takahiko Ito, Masashi Shimbo, Daichi Mochihashi and Yuji Matsumoto --
Distribution rules with numeric attributes of interest / Alipio M. Jorge, Paulo J. Azevedo and Fernando Pereira --
Tractable models for information diffusion in social networks / Masahiro Kimura and Kazumi Saito --
Efficient spatial classification using decoupled conditional random fields / Chi-Hoon Lee, Russell Greiner and Osmar Zaiane --
Group SAX : extending the notion of contrast sets to time series and multimedia data / Jessica Lin and Eamonn Keogh --
An attacker's view of distance preserving maps for privacy preserving data mining / Kun Liu, Chris Giannella and Hillol Kargupta --
A scalable distributed stream mining system for highway traffic data / Ying Liu, Alok Choudhary, Jianhong Zhou and Ashfaq Khokhar --
K-landmarks : distributed dimensionality reduction for clustering quality maintenance / Panagis Magdalinos, Christos Doulkeridis and Michalis Vazirgiannis --
The discrete basis problem / Pauli Miettinen, Taneli Mielikainen, Aristides Gionis, Gautam Das and Heikki Mannila --
Evaluation of summarization schemes for learning in streams / Alec Pawling, Nitesh V. Chawla and Amitabh Chaudhary --
Efficient mining of correlation patterns in spatial point data / Marko Salmenkivi --
Improving functional modularity in protein-protein interactions graphs using hub-induced subgraphs / Duygu Ucar, Sitaram Asur, Umit Catalyurek and Srinivasan Parthasarathy --
Refining aggregate conditions in relational learning / Celine Vens, Jan Ramon and Hendrik Blockeel --
Measuring to fit : virtual tailoring through cluster analysis and classification / Herna L. Viktor, Eric Paquet and Hongyu Guo --
RIVA : indexing and visualization of high-dimensional data via dimension reorderings / Michail Vlachos, Spiros Papadimitriou, Zografoula Vagena and Philip S. Yu --
Distributed subgroup mining / Michael Wurst and Martin Scholz --
Network flow for collaborative ranking / Ziming Zhuang, Silviu Cucerzan and C. Lee Giles --
Finding hierarchies of subspace clusters / Elke Achtert, Christian Bohm, Hans-Peter Kriegel, Peer Kroger, Ina Muller-Gorman and Arthur Zimek --
Integrating pattern mining in relational databases / Toon Calders, Bart Goethals and Adriana Prado --
Discovering patterns in real-valued time series / Joe Catalano, Tom Armstrong and Tim Oates --
Classification of dementia types from cognitive profiles data / Giorgio Corani, Chris Edgar, Isabelle Marshall, Keith Wesnes and Marco Zaffalon --
When efficient model averaging out-performs boosting and bagging / Ian Davidson and Wei Fan --
Peak-jumping frequent itemset mining algorithms / Nele Dexters, Paul W. Purdom and Dirk Van Gucht --
Autonomous visualization / Khalid El-Arini, Andrew W. Moore and Ting Liu --
Naive Bayes for text classification with unbalanced classes / Eibe Frank and Remco R. Bouckaert --
Knowledge-conscious exploratory data clustering / Amol Ghoting and Srinivasan Parthasarathy --
On the lower bound of reconstruction error for spectral filtering based privacy preserving data mining / Songtao Guo, Xintao Wu and Yingjiu Li --
Frequent pattern discovery without binarization : mining attribute profiles / Attila Gyenesei, Ralph Schlapbach, Etzard Stolte and Ulrich Wagner --
Efficient name disambiguation for large-scale databases / Jian Huang, Seyda Ertekin and C. Lee Giles --
Adaptive segmentation-based symbolic representations of time series for better modeling and lower bounding distance measures / Bernard Hugueney --
A feature generation algorithm for sequences with application to splice-site prediction / Rezarta Islamaj, Lise Getoor and W. John Wilbur --
Discovering image-text associations for cross-media Web information fusion / Tao Jiang and Ah-Hwee Tan --
Mining sequences of temporal intervals / Steffen Kempe and Jochen Hipp --
Pattern teams / Arno J. Knobbe and Eric K.Y. Ho --
Compression picks item sets that matter / Matthijs van Leeuwen, Jilles Vreeken and Arno Siebes --
Discovering overlapping communities of named entities / Xin Li, Bing Liu and Philip S. Yu --
Closed non-derivable itemsets / Juho Muhonen and Hannu Toivonen --
Learning a distance metric for object identification without human supervision / Satoshi Oyama and Katsumi Tanaka --
Towards association rules with hidden variables / Ricardo Silva and Richard Scheines --
A data mining approach to the joint evaluation of field and manufacturing data in automotive industry / Christian Manuel Strobel and Tomas Hrycej --
Incremental aspect models for mining document streams / Arun C. Surendran and Suvrit Sra --
Learning approximate MRFs from large transaction data / Chao Wang and Srinivasan Parthasarathy --
Similarity search for multi-dimensional NMR-spectra of natural products / Karina Wolfram, Andrea Porzel and Alexander Hinneburg.
Series Title: LNCS sublibrary., SL 7,, Artificial intelligence.; Lecture notes in computer science, 4213.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Other Titles: PKDD 2006
10th European Conference on Principles and Practice of Knowledge Discovery in Databases
Tenth European Conference on Principles and Practice of Knowledge Discovery in Databases
European Conference on Principles and Practice of Knowledge Discovery in Databases
Responsibility: Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (eds.).
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