%%  !! Eintraege alphabetisch nach Autorennamen (also Schluessel) sortiert !!
@InCollection{Aha/Bankert/96a,
  author    = {Aha, David W. and Bankert Richard L.},
  title     = {A Comparative Evaluation of Sequential Feature Selection Algorithms},
  editor    = {Fisher, Doug and Lenz, Hans-J.},
  booktitle = {Learning from Data},
  chapter   = {4},
  pages     = {199--206},
  publisher = {Springer},
  address   = {New York},
  year      = {1996},
}

@InProceedings{Almuallim/Dietterich/91a,
  author    = {Almuallim, H. and Dietterich, T.G.},
  title     = {Learning with many irrelevant features},
  booktitle = {The Proceedings of the Ninth National Conference on Artificial Intelligence},
  year      = {1991},
  pages     = {547--552}
}

@Article{Blum/Langley/97a,
  author  = {Blum, Avrim L. and Langley, Pat},
  title   = {Selection of Relevant Features and Examples in Machine Learning },
  journal = {Artificial Intelligence},
  year    = {1997},
  pages   = {245--271}
}

@Article{Breiman/96d,
  author  = {Breiman, L.},
  title   = {Bagging Predictors},
  journal = {Machine Learning},
  year    = {1996},
  volume  = {13},
  number  = {2},
  pages   = {30--37}
}

@InProceedings{Chang/Lippmann/91,
  author    = {Chang, Eric E. and Lippmann, R.P.},
  title     = {{U}sing genetic algorithms to improve pattern classification},
  booktitle = {{A}dvances in {N}eural {I}nformation {P}rocessing {S}ystems},
  volume    = {3},
  publisher = {Morgan Kaufmann},
  year      = {1991}
}

@Manual{Chang/Lin/2001a,
  title = 	 {LIBSVM: a library for support vector machines},
  author = 	 {Chang, Chih-Chung and Lin, Chih-Jen},
  year = 	 {2001}
}

@Book{Efron/Tibshirani/93,
  author    = {Efron, B. and Tibshirani, R.},
  title     = {An introduction to the bootstrap},
  year      = {1993},
  publisher = {Chapman \& Hall},
  address   = {New York, USA} 
}

@techreport{Fischer/etal/2002a,
  address = {Dortmund, Germany},
  author = {Fischer, Simon and Klinkenberg, Ralf and Mierswa, Ingo and Ritthoff, Oliver},
  title = {{\sc Yale}: {Y}et {A}nother {L}earning {E}nvironment -- {\em Tutorial}},
  institution = {Collaborative Research Center 531, University of Dortmund},
  number = {CI-136/02},
  year = {2002}
}

@PhdThesis{Hall/99,
  author  = {Hall, M.~A.},
  title   = {Correlation-based feature selection for machine learning},
  type    = {Dissertation},
  school  = {Department of Computer Science, University of Waikato},
  address = {Hamilton, New Zealand},
  year    = {1999}
}

@InCollection{Joachims/99a,
  author =	 {T. Joachims},
   booktitle = {Advances in Kernel Methods - Support Vector Learning},
   title = {Making large-Scale {SVM} Learning Practical},
   publisher = {MIT Press},
   address = {Cambridge, MA},
   year = {1999},
   editor = {B. Sch{\"o}lkopf and C. Burges and A. Smola},
   chapter = {11},
}

@InProceedings{Klinkenberg/Joachims/2000a,
  address = {San Francisco, CA, USA},
  author = {Klinkenberg, Ralf and Joachims, Thorsten},
  title = {Detecting Concept Drift with Support Vector Machines},
  booktitle = {Proceedings of the Seventeenth International Conference on Machine Learning (ICML)},
  editor = {Langley, Pat},
  pages = {487--494},
  publisher = {Morgan Kaufmann},
  year = {2000}
}

@InCollection{Klinkenberg/Rueping/2003a,
  author    = {Klinkenberg, Ralf and R\"{u}ping, Stefan},
  title     = {Concept Drift and the Importance of Examples},
  editor    = {Franke, J\"{u}rgen and Nakhaeizadeh, Gholamreza and Renz, Ingrid},
  booktitle = {Text Mining -- Theoretical Aspects and Applications},
  pages     = {55--77},
  publisher = {Physica-Verlag},
  address   = {Heidelberg, Germany},
  year      = {2003}
}

@InProceedings{Kira/Rendell/92a,
  author    = {Kira, K. and Rendell, L.},
  title     = {The Feature Selection Problem: Traditional Methods and a New Algorithm},
  booktitle = {The Proceedings of the Tenth National Conference on Artificial Intelligence},
  pages     = {129--134},
  publisher = {AAAI Press},
  year      = {1992}
}

@InProceedings{Kohavi/etal/96a,
  author    = {Kohavi, Ron and Sommerfield, Dan and Dougherty, James},
  title     = {Data Mining Using {MLC++}: A Machine Learning Library in {C++}},
  booktitle = {Tools with Artificial Intelligence},
  year      = {1996},
  pages     = {234--245},
  note      = {\texttt{http://www.sgi.com/tech/mlc/}},
  publisher = {IEEE Computer Society Press},
  address   = {Los Alamitos, CA, USA}
}

@Article{Kohavi/John/97a,
  author  = {Kohavi, R. and John, G.~H.},
  title   = {Wrappers for Feature Subset Selection},
  journal = {Artificial Intelligence Journal, Special Issue on Relevance},
  year    = {1997},
  volume  = {97},
  number  = {1--2},
  pages   = {273--324}
}

@Book{Liu/Motoda/98a,
  author    = {Liu, H. and Motoda, H.},
  title     = {Feature Extraction, Construction, and Selection: A Data Mining Perspective},
  publisher = {Kluwer},
  year      = {1998},
}

@InCollection{Michalski/83c,
  author    = {Michalski, Ryszard S.},
  title     = {A Theory and Methodology of Inductive Learning},
  editor    = {Michalski, R. S. and Carbonell, J. G. and Mitchell, T. M.},
  booktitle = {Machine Learning --- An Artificial Intelligence Approach},
  volume    = {1},
  chapter   = {4},
  pages     = {83--135},
  publisher = {Morgan Kaufmann},
  address   = {Palo Alto, CA, USA},
  year      = {1983},
}

@Book{Mitchell/97b,
  author =	 {Mitchell, Tom M.},
   title = {Machine Learning},
   publisher = {McGraw Hill},
   address = {New York},
   year = {1997},
}

@InCollection{Morik/Wessel/99a,
  author    = {Katharina Morik and Stephanie Wessel},
  title     = {Incremental Signal to Symbol Processing},
  editor    = {K. Morik and M. Kaiser and V. Klingspor},
  booktitle = {Making Robots Smarter -- Combining Sensing and Action through Robot Learning},
  publisher = {Kluwer Academic Publishers},
  year      = {1999},
  chapter   = {11},
  pages     = {185--198}
}

@Book{Quinlan/93b,
  author    = {Quinlan, John Ross},
  address   = {San Mateo, CA, USA},
  publisher = {Morgan Kaufmann},
  series    = {Machine Learning},
  title     = {{C4.5}: Programs for Machine Learning},
  year      = {1993},
}

@InProceedings{Ritthoff/etal/2001a,
  author      = {Ritthoff, O. and Klinkenberg, R. and Fischer, S. and Mierswa, I. and Felske, S.},
  title       = {{\sc Yale}: {Y}et {A}nother {M}achine {L}earning {E}nvironment},
  booktitle   = {Proc. of {LLWA 01}},
  publisher   = {Department of Computer Science, University of Dortmund},
  pages       = {84--92},
  year        = {2001}
}

@Manual{Rueping/2000a,
  author       = {Stefan R{\"u}ping},
  title        = {mySVM Manual},
  organization = {Universit{\"a}t Dort\-mund, Lehr\-stuhl Infor\-ma\-tik VIII},
  year         = {2000},
  note         = {\newline\texttt{http://www-ai.cs.uni-dortmund.de/SOFTWARE/MYSVM/}}
}

@InProceedings{Schapire/99a,
  author    = {Schapire, Robert E.},
  title     = {{A} brief introduction to boosting},
  booktitle = {{P}roceedings of the {S}ixteenth {I}nternational {J}oint {C}onference on {A}rtificial {I}ntelligence},
  pages     = {1401--1406},
  address   = {Stockholm, Sweden},
  publisher = {Morgan Kaufmann},
  year      = {1999}
}

@inproceedings{Scholz/2005a,
  author = {Scholz, Martin},
  title = {{K}nowledge-{B}ased {S}ampling for {S}ubgroup {D}iscovery},
  booktitle = {Proc. of the Workshop on Detecting Local Patterns},
  editor = {Morik, Katharina and Boulicaut, Jean-Francois and Siebes, Arno},
  note = {To appear},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  year = {2005}
}

@inproceedings{Scholz/2005b,
  author = {Martin Scholz},
  title = {{S}ampling-{B}ased {S}equential {S}ubgroup {M}ining},
  booktitle = {Proc. of the 11th ACM SIGKDD International Conference on Knowledge Discovery in Databases (KDD'05)},
  note = {Accepted for publication.},
  year = {2005}
}

@unpublished{Scholz/2005x,
  author = {Martin Scholz},
  title = {{C}omparing {K}nowledge-{B}ased {S}ampling to {B}oosting},
  note = {Submitted to ECML 2005},
  year = {2005},
}

@TechReport{Smola/Schoelkopf/98a,
  author      = {Smola, Alex J. and Sch\"{o}lkopf, Bernhard},
  title       = {A Tutorial on Support Vector Regression},
  type        = {{NeuroCOLT2 Technical Report} {NC-TR-98-030}},
  institution = {Royal Holloway College, University of London, UK},
  year        = {1998},
}

@InProceedings{Srikant/Agrawal/95a,
  author    = {Srikant, Ramakrishnan and Agrawal, Rakesh},
  title     = {{M}ining generalized association rules},
  editor    = {Dayal, Umeshwar and Gray, Peter M.D. and Nishio, Shojiro},
  booktitle = {Proceedings of 21th International Conference on Very Large Data Bases},
  year      = {1995},
  publisher = {Morgan Kaufmann},
  address   = {San Mateo, CA, USA},
  pages     = {407--419}
}

@Book{Vapnik/98a,
  author = {Vladimir N. Vapnik},
   title = {Statistical Learning Theory},
   publisher = {Wiley},
   address = {Chichester, UK},
   year = {1998}
}

@MastersThesis{Wessel/95a,
  author   = {Stefanie Wessel},
  type     = {Diplomarbeit},
  school   = {{F}achbereich {I}nformatik, {U}niversit{\"a}t {D}ortmund},
  title    = {{L}ernen qualitativer {M}erkmale aus numerischen {R}obotersensordaten},
  year     = {1995},
}

@InProceedings{Wessel/Morik/95a,
  author       = {Stephanie Wessel and Katharina Morik},
  title        = {Lernen qualitativer {M}erkmale aus numerischen {R}obotersensordaten},
  editor       = {K. Morik and J. Herrmann},
  booktitle    = {Beitr{\"a}ge zum 7. Fachgruppentreffen {M}aschinelles {L}ernen},
  series       = {{F}orschungsberichte},
  organization = {Univ. {D}ortmund, {F}achbereich {I}nformatik},
  pages        = {71--77},
  year         = {1995},
}

@Book{Witten/Frank/2000,
  author    = {Witten, I.~H. and Frank, E.},
  title     = {{D}ata mining: {P}ractical machine learning tools and techniques with {J}ava implementations},
  publisher = {Morgan Kaufmann},
  year      = {2000},
  address   = {San Francisco, CA, USA},
  note      = {\texttt{http://www.cs.waikato.ac.nz/ml/weka/}}
}
% note      = {\texttt{http://www.cs.waikato.ac.nz/\~{}ml/weka/}}

@InProceedings{Yang/Honovar/98,
  author    = {Yang, J. and Honovar, V.},
  title     = {{F}eature {S}ubset {S}election {U}sing a {G}enetic {A}lgorithm},
  booktitle = {IEEE Intelligent Systems (Special Issue on Feature Transformation and Subset Selection)},
  year      = {1998},
  pages     = {44--49},
  volume    = {13}
}

@Article{Mierswa/Morik/2005a,
  author = 	 {Mierswa, Ingo and Morik, Katharina},
  title = 	 {Automatic Feature Extraction for Classifying Audio Data},
  journal = 	 {Machine Learning Journal},
  year = 	 {2005},
  volume = 	 {58},
  pages = 	 {127--149}
}


@InProceedings{Mierswa/Morik/2005b,
  author = 	 {Mierswa, Ingo and Morik, Katharina},
  title = 	 {Method Trees: Building Blocks for Self-Organizable Representations of Value Series},
  booktitle =    {Proc. of the Genetic and Evolutionary Computation Conference GECCO 2005, Workshop on Self-Organization In Representations For Evolutionary Algorithms: Building complexity from simplicity},
  year = 	 {2005}
}

@TechReport{Mierswa/Wurst/2005a,
  author = 	 {Mierswa, Ingo and Wurst, Michael},
  title = 	 {Efficient Case Based Feature Construction for Heterogeneous Learning Tasks},
  institution =  {Collaborative Research Center 531, University of Dortmund},
  year = 	 {2005},
  number = 	 {CI-194/05}
}

@InProceedings{Mierswa/Wurst/2005b,
  author = 	 {Mierswa, Ingo and Wurst, Michael},
  title = 	 {Efficient Feature Construction by Meta Learning -- Guiding the Search in Meta Hypothesis Space},
  booktitle =    {Proc. of the Internation Conference on Machine Learning, Workshop on Meta Learning},
  year = 	 {2005}
}

@TechReport{Mierswa/Geisbe/2004a,
  author = 	 {Mierswa, Ingo and Geisbe, Thorsten},
  title = 	 {Multikriterielle evolutionäre Aufstellungsoptimierung von Chemieanlagen unter Beachtung gewichteter Designregeln},
  institution =  {Collaborative Research Center 531, University of Dortmund},
  year = 	 {2004},
  number = 	 {CI-188/04}
}


@Article{Klinkenberg/2004a,
  author = 	 {Klinkenberg, Ralf},
  title = 	 {Learning Drifting Concepts: Example Selection vs. Example Weighting},
  journal = 	 {Intelligent Data Analysis (IDA), Special Issue on Incremental Learning Systems Capable of Dealing with Concept Drift},
  year = 	 {2004},
  volume = 	 {8},
  number = 	 {3}
}


@InProceedings{Mierswa/2004c,
  author = 	 {Mierswa, Ingo},
  title = 	 {Automatic Feature Extraction from Large Time Series},
  booktitle =    {Proc. of LWA 2004},
  year = 	 {2004}
}


@TechReport{Felske/etal/2003a,
  author = 	 {Felske, Sven and Ritthoff, Oliver and Klinkenberg, Ralf},
  title = 	 {Bestimmung von Isothermenparametern mit Hilfe des maschinellen Lernens},
  institution =  {Collaborative Research Center 531, University of Dortmund},
  year = 	 {2003},
  number = 	 {CI-149/03}
}


@InProceedings{Klinkenberg/etal/2002a,
  author = 	 {Klinkenberg, Ralf and Ritthoff, Oliver and Morik, Katharina},
  title = 	 {Novel Learning Tasks From Practical Applications},
  booktitle =    {Proceedings of the workshop of the special interest groups Machine Learning (FGML)},
  pages = 	 {46--59},
  year = 	 {2002}
}

@InProceedings{Ritthoff/Klinkenberg/2003a,
  author = 	 {Ritthoff, Oliver and Klinkenberg, Ralf},
  title = 	 {Evolutionary Feature Space Transformation using Type-Restricted Generators},
  booktitle =    {Proc. of the Genetic and Evolutionary Computation Conference (GECCO 2003)},
  pages = 	 {1606--1607},
  year = 	 {2003}
}


@InProceedings{Ritthoff/etal/2002b,
  author = 	 {Ritthoff, Oliver and Klinkenberg, Ralf and Fischer, Simon and Mierswa, Ingo},
  title = 	 {A Hybrid Approach to Feature Selection and Generation Using an Evolutionary Algorithm},
  booktitle =    {Proc. of the 2002 U.K. Workshop on Computational Intelligence (UKCI-02)},
  pages = 	 {147--154},
  year = 	 {2002}
}


@InBook{Daniel/etal/2002a,
  author = 	 {Daniel, G. and Dienstuhl, J. and Engell, S. and Felske, S. and Goser, K. and Klinkenberg, R. and Morik, K. and Ritthoff, O. and Schmidt-Traub, H.},
  title = 	 {Advances in Computational Intelligence -- Theory and Practice},
  chapter = 	 {Novel Learning Tasks, Optimization, and Their Application},
  publisher = 	 {Springer},
  year = 	 {2002},
  pages = 	 {245--318}
}

@InProceedings{Klinkenberg/2001a,
  author = 	 {Klinkenberg, Ralf},
  title = 	 {Using Labeled and Unlabeled Data to Learn Drifting Concepts},
  booktitle =    {Workshop notes of the IJCAI-01 Workshop on \em Learning from Temporal and Spatial Data},
  pages = 	 {16--24},
  year = 	 {2001}
}

@InProceedings{Klinkenberg/2003a,
  author = 	 {Klinkenberg, Ralf},
  title = 	 {Predicting Phases in Business Cycles Under Concept Drift},
  booktitle =    {Proc. of LLWA 2003},
  pages = 	 {3--10},
  year = 	 {2003}
}

@InProceedings{Mierswa/etal/2003a,
  author = 	 {Mierswa, Ingo and Klinkberg, Ralf and Fischer, Simon and Ritthoff, Oliver},
  title = 	 {A Flexible Platform for Knowledge Discovery Experiments: YALE -- Yet Another Learning Environment},
  booktitle =    {Proc. of LLWA 2003},
  year = 	 {2003}
}

@InProceedings{Mierswa/2005a,
  author = 	 {Mierswa, Ingo},
  title = 	 {Incorporating Fuzzy Knowledge into Fitness: Multiobjective Evolutionary 3D Design of Process Plants},
  booktitle =    {Proc. of the Genetic and Evolutionary Computation Conference GECCO 2005},
  year = 	 {2005}
}

@InProceedings{Mierswa/etal/2006a,
  author    = {Mierswa, I. and Wurst, M. and Klinkenberg, R. and Scholz, M. and Euler, T.},
  title     = {{YALE}: Rapid Prototyping for Complex Data Mining Tasks},
  booktitle = {Proceedings of the {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining (KDD 2006)},
  year      = {2006}
}

@Article{Tipping/2001a,
  author = 	 {Tipping, M. E.},
  title = 	 {Sparse Bayesian learning and the relevance vector machine},
  journal =  {Journal of Machine Learning Research},
  year = 	 {2001},
  volume = 	 {1},
  pages = 	 {211-244}
}

@InProceedings{Tipping/Faul/2003a,
  author    = {Tipping, M. E. and Faul, A.},
  title     = {Fast marginal likelihood maximisation for sparse Bayesian models},
  booktitle = {Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics},
  year      = {2003}
}

@InProceedings{Ester/etal/96a,
  author    = {Ester, Martin and Kriegel, Hans-Peter and Sander, Jorg and Xu, Xiaowei},
  title     = {A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise},
  booktitle = {Proceedings of the KDD 1996},
  year      = {1996}
}

@InProceedings{Dhillon/etal/2004a,
  author    = {Inderjit S. Dhillon and Yuqiang Guan and Brian Kulis},
  title     = {Kernel k-means: spectral clustering and normalized cuts},
  booktitle = {Proceedings of the KDD 2004},
  year      = {2004}
}

@Article{BenHur/etal/2001a,
  author = 	 {Asa Ben-Hur and David Horn and Hava T. Siegelmann and Vladimir Vapnik},
  title = 	 {Support Vector Clustering},
  journal =  {Journal of Machine Learning Research},
  year = 	 {2001}
}
