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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Ackermann, M., Berendt, B., Grobelnik, M., Hotho, A., Mladenic, D., Semeraro, G., Spiliopoulou, M., Stumme, G., Svatek, V. & van Someren, M. Semantics, Web and Mining 2006   book URL 
    BibTeX:
    @book{Semantic2006Ackermann,
      author = {Ackermann, Markus and Berendt, Bettina and Grobelnik, Marko and Hotho, Andreas and Mladenic, Dunja and Semeraro, Giovanni and Spiliopoulou, Myra and Stumme, Gerd and Svatek, Vojtech and van Someren, Maarten},
      title = {Semantics, Web and Mining},
      year = {2006},
      url = {http://dx.doi.org/10.1007/11908678}
    }
    
    Workshop on Web Mining 2006 (WebMine) 2006   proceedings URL 
    BibTeX:
    @proceedings{berendt2006webmining,,
      title = {Workshop on Web Mining 2006 (WebMine)},
      year = {2006},
      url = {http://www.kde.cs.uni-kassel.de/ws/webmine2006/pdf/WebMine2006.pdf}
    }
    
    Jäschke, R., Hotho, A., Schmitz, C., Ganter, B. & Stumme, G. TRIAS - An Algorithm for Mining Iceberg Tri-Lattices 2006 Proc. 6th ICDM conference  inproceedings DOI  
    BibTeX:
    @inproceedings{trias2006jaeschke,
      author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd},
      title = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices},
      booktitle = {Proc. 6th ICDM conference},
      year = {2006},
      doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.162}
    }
    
    Stumme, G., Hotho, A. & Berendt, B. Semantic Web Mining - State of the Art and Future Directions 2006 Journal of Web Semantics
    Vol. 4(2), pp. 124-143 
    article URL 
    Abstract: SemanticWeb Mining aims at combining the two fast-developing research areas SemanticWeb andWeb Mining.
    is survey analyzes the convergence of trends from both areas: an increasing number of researchers is working on
    proving the results ofWeb Mining by exploiting semantic structures in theWeb, and they make use ofWeb Mining
    chniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic
    b itself.
    e Semantic Web is the second-generation WWW, enriched by machine-processable information which supports
    e user in his tasks. Given the enormous size even of today’s Web, it is impossible to manually enrich all of
    ese resources. Therefore, automated schemes for learning the relevant information are increasingly being used.
    b Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily
    ntactical nature of the data being mined, the discovery of meaning is impossible based on these data only. Therefore,
    rmalizations of the semantics of Web sites and navigation behavior are becoming more and more common.
    rthermore, mining the Semantic Web itself is another upcoming application. We argue that the two areas Web
    ning and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not
    t realized. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer
    tegration could be profitable.
    BibTeX:
    @article{jws2006Semantic,
      author = {Stumme, Gerd and Hotho, Andreas and Berendt, Bettina},
      title = {Semantic Web Mining - State of the Art and Future Directions},
      journal = {Journal of Web Semantics},
      publisher = {Elsevier},
      year = {2006},
      volume = {4},
      number = {2},
      pages = {124-143},
      url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/JWS2006SemanticWebMining.pdf}
    }
    
    Ng, R.T., Lakshmanan, L.V.S., Han, J. & Pang, A. Exploratory Mining and Pruning Optimizations of Constrained Association Rules. 1998 SIGMOD Conference, pp. 13-24  inproceedings URL 
    BibTeX:
    @inproceedings{conf/sigmod/NgLHP98,
      author = {Ng, Raymond T. and Lakshmanan, Laks V. S. and Han, Jiawei and Pang, Alex},
      title = {Exploratory Mining and Pruning Optimizations of Constrained Association Rules.},
      booktitle = {SIGMOD Conference},
      year = {1998},
      pages = {13-24},
      url = {http://dblp.uni-trier.de/db/conf/sigmod/sigmod98.html#NgLHP98}
    }
    
    Advances in Knowledge Discovery and Data Mining. 1996   book URL 
    BibTeX:
    @book{books/mit/FayyadPSU96,,
      title = {Advances in Knowledge Discovery and Data Mining.},
      publisher = {AAAI/MIT Press},
      year = {1996},
      url = {http://www.amazon.com/gp/product/0262560976}
    }
    
    Park, J., Chen, M. & Yu, P. An effective hash-based algorithm for mining association rules 1995 Proceedings of the 1995 ACM SIGMOD international conference on Management of data, pp. 175-186  article  
    BibTeX:
    @article{park1995ehb,
      author = {Park, J.S. and Chen, M.S. and Yu, P.S.},
      title = {An effective hash-based algorithm for mining association rules},
      journal = {Proceedings of the 1995 ACM SIGMOD international conference on Management of data},
      publisher = {ACM Press New York, NY, USA},
      year = {1995},
      pages = {175-186}
    }
    
    Agrawal, R. & Srikant, R. Fast Algorithms for Mining Association Rules in Large Databases 1994 VLDB '94: Proceedings of the 20th International Conference on Very Large Data Bases, pp. 487-499  inproceedings  
    BibTeX:
    @inproceedings{672836,
      author = {Agrawal, Rakesh and Srikant, Ramakrishnan},
      title = {Fast Algorithms for Mining Association Rules in Large Databases},
      booktitle = {VLDB '94: Proceedings of the 20th International Conference on Very Large Data Bases},
      publisher = {Morgan Kaufmann Publishers Inc.},
      year = {1994},
      pages = {487--499}
    }
    

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