Search Results for Data Mining and Knowledge Discovery.

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13.

Semi-Supervised Machine Learning for Network Intrusion Detection

Shi, Ningxin, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10788565

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the Third International Knowledge Discovery and Data Mining Tools Competition dataset (KDD 1999). The

14.

Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part I

Borzemski, Leszek. editor.

http://dx.doi.org/10.1007/978-3-319-46583-8

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Alıntı:

performance computing, cloud computing, knowledge discovery, data mining and knowledge based management. Part

15.

Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part II

Grzech, Adam. editor.

http://dx.doi.org/10.1007/978-3-319-46586-9

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Alıntı:

performance computing, cloud computing, knowledge discovery, data mining and knowledge based management. Part

16.

Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part III

Świątek, Jerzy. editor.

http://dx.doi.org/10.1007/978-3-319-46589-0

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Alıntı:

performance computing, cloud computing, knowledge discovery, data mining and knowledge based management. Part

17.

Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part IV

Wilimowska, Zofia. editor.

http://dx.doi.org/10.1007/978-3-319-46592-0

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Alıntı:

performance computing, cloud computing, knowledge discovery, data mining and knowledge based management. Part

18.

Fuzzy Sets, Rough Sets, Multisets and Clustering

Torra, Vicenç. editor.

http://dx.doi.org/10.1007/978-3-319-47557-8

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Hesitant Fuzzy Data -- Experiences using Decision Trees for Knowledge Discovery -- Part 2: Bags, Fuzzy Bags

19.

Granular-Relational Data Mining How to Mine Relational Data in the Paradigm of Granular Computing?

Hońko, Piotr. author.

http://dx.doi.org/10.1007/978-3-319-52751-2

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, and association discovery. How can different relational data mining tasks best be unified? How can the

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