[Biblioteca] - Inteligência Artifical

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Moreno L, González EJ, González CS and Piñeiro JD (2009), "Towards a Support for Autonomous Learning Process", In Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living: 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II. Berlin, Heidelberg , pp. 582-585. Springer Berlin Heidelberg.
BibTeX:
@incollection{Moreno2009,
  author = {Moreno, Lorenzo and González, Evelio J and González, Carina S and Piñeiro, J D},
  editor = {Omatu, Sigeru and Rocha, Miguel P and Bravo, José and Fernández, Florentino and Corchado, Emilio and Bustillo, Andrés and Corchado, Juan M},
  title = {Towards a Support for Autonomous Learning Process},
  booktitle = {Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living: 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II},
  publisher = {Springer Berlin Heidelberg},
  year = {2009},
  pages = {582--585},
  url = {http://dx.doi.org/10.1007/978-3-642-02481-884},
  doi = {10.1007/978-3-642-02481-8_84}
}
Lin D (2003), "Dependency-Based Evaluation of Minipar", Treebanks - Building and Using Parsed Corpora. , pp. 317-329.
Abstract: In this paper, we first present a dependency-based method for parser evaluation. We then use the method to evaluate a broad-coverage parser, called MINIPAR, with the SUSANNE corpus. The method allows us to evaluate not only the overall performance of the parser, but also its performance with respect to different grammatical relationships and phenomena. The evaluation results show that MINIPAR is able to cover about 79% of the dependency relationships in the SUSANNE corpus with about 89% precision.
BibTeX:
@article{Lin2003,
  author = {Lin, Dekang},
  title = {Dependency-Based Evaluation of Minipar},
  journal = {Treebanks - Building and Using Parsed Corpora},
  year = {2003},
  pages = {317--329},
  url = {http://www.cfilt.iitb.ac.in/archives/miniparevaluation.pdf},
  doi = {10.1007/978-94-010-0201-1_18}
}
Lopes MCS (2004), "Mineração De Dados Textuais Utilizando Técnicas De Clustering Para O Idioma Português", In Universidade Federal do Rio de Janeiro.. Thesis at: Universidade Federal do Rio de Janeiro. Vol. 54, pp. 258.
BibTeX:
@phdthesis{Lopes2004,
  author = {Lopes, Maria Célia Santos},
  title = {Mineração De Dados Textuais Utilizando Técnicas De Clustering Para O Idioma Português},
  booktitle = {Universidade Federal do Rio de Janeiro},
  school = {Universidade Federal do Rio de Janeiro},
  year = {2004},
  volume = {54},
  pages = {258},
  url = {http://www.inf.unioeste.br/ jorge/MESTRADOS/LETRAS%20-%20MECANISMOS%20DO%20FUNCIONAMENTO%20DA%20LINGUAGEM%20-%20PROCESSAMENTO%20DA%20LINGUAGEM%20NATURAL/ARTIGOS%20INTERESSANTES/Tese_coc_ufrj.pdf}
}
Rokach L (2005), "Ensemble Methods for Classifiers", In Data Mining and Knowledge Discovery Handbook. Boston, MA , pp. 957-980. Springer US.
Abstract: The idea of ensemble methodology is to build a predictive model by integrating multiple models. It is well-known that ensemble methods can be used for improving prediction performance. In this chapter we provide an overview of ensemble methods in classification tasks. We present all important types of ensemble method including boosting and bagging. Combining methods and modeling issues such as ensemble diversity and ensemble size are discussed.
BibTeX:
@inbook{Rokach2005,
  author = {Rokach, Lior},
  editor = {Maimon, Oded and Rokach, Lior},
  title = {Ensemble Methods for Classifiers},
  booktitle = {Data Mining and Knowledge Discovery Handbook},
  publisher = {Springer US},
  year = {2005},
  pages = {957--980},
  url = {https://doi.org/10.1007/0-387-25465-X_45},
  doi = {10.1007/0-387-25465-X_45}
}
Quinlan JR (1986), "Induction of decision trees", Machine Learning., Mar, 1986. Vol. 1(1), pp. 81-106.
Abstract: The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in several practical applications. This paper summarizes an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one such system, ID3, in detail. Results from recent studies show ways in which the methodology can be modified to deal with information that is noisy and/or incomplete. A reported shortcoming of the basic algorithm is discussed and two means of overcoming it are compared. The paper concludes with illustrations of current research directions.
BibTeX:
@article{Quinlan1986,
  author = {Quinlan, J. R.},
  title = {Induction of decision trees},
  journal = {Machine Learning},
  year = {1986},
  volume = {1},
  number = {1},
  pages = {81--106},
  url = {https://doi.org/10.1007/BF00116251},
  doi = {10.1007/BF00116251}
}
Salzberg SL (1994), "C4.5: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993", Machine Learning., Sep, 1994. Vol. 16(3), pp. 235-240.
BibTeX:
@article{Salzberg1994,
  author = {Salzberg, Steven L.},
  title = {C4.5: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993},
  journal = {Machine Learning},
  year = {1994},
  volume = {16},
  number = {3},
  pages = {235--240},
  url = {https://doi.org/10.1007/BF00993309},
  doi = {10.1007/BF00993309}
}
Witten IH, Frank E and Hall Ma (2011), "Data Mining: Practical Machine Learning Tools and Techniques, Third Edition", In Annals of Physics. Vol. 54(2), pp. 664. Morgan Kaufmann.
BibTeX:
@book{Witten2011,
  author = {Witten, Ian H. and Frank, Eibe and Hall, Mark a.},
  title = {Data Mining: Practical Machine Learning Tools and Techniques, Third Edition},
  booktitle = {Annals of Physics},
  publisher = {Morgan Kaufmann},
  year = {2011},
  volume = {54},
  number = {2},
  pages = {664},
  url = {https://doi.org/10.1016/C2009-0-19715-5},
  doi = {10.1016/C2009-0-19715-5}
}
Larose DT (2006), "Data Mining Methods and Models", In Spring. John Wiley & Sons, Inc..
BibTeX:
@book{Larose2006,
  author = {Larose, Daniel T.},
  title = {Data Mining Methods and Models},
  booktitle = {Spring},
  publisher = {John Wiley & Sons, Inc.},
  year = {2006},
  url = {https://www.wiley.com/en-af/Data+Mining+Methods+and+Models-p-9780471756477}
}
Pang-Ning T, Steinbach M and Kumar V (2006), "Introduction to data mining", Library of Congress. , pp. 796.
Abstract: Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
BibTeX:
@article{Pang-Ning2006,
  author = {Pang-Ning, Tan and Steinbach, Michael and Kumar, Vipin},
  title = {Introduction to data mining},
  journal = {Library of Congress},
  year = {2006},
  pages = {796},
  url = {https://www-users.cs.umn.edu/ kumar001/dmbook/index.php},
  doi = {10.1016/0022-4405(81)90007-8}
}
Feldman R and Sanger J (2006), "The Text Mining Handbook", In Climate Change 2013 - The Physical Science Basis. Cambridge Vol. 1, pp. 1-30. Cambridge University Press.
BibTeX:
@book{Bash2015,
  author = {Feldman, Ronen and Sanger, James},
  editor = {Intergovernmental Panel on Climate Change},
  title = {The Text Mining Handbook},
  booktitle = {Climate Change 2013 - The Physical Science Basis},
  publisher = {Cambridge University Press},
  year = {2006},
  volume = {1},
  pages = {1--30}
}
Chung H, Yang S, Massjouni N, Andrews C, Kanna R and North C (2010), "VizCept: Supporting synchronous collaboration for constructing visualizations in intelligence analysis", In IEEE Conference on Visual Analytics Science and Technology (VAST). , pp. 107-114.
BibTeX:
@inproceedings{Chung2010,
  author = {Chung, Haeyong and Yang, Seungwon and Massjouni, Naveed and Andrews, Christopher and Kanna, Rahul and North, Chris},
  title = {VizCept: Supporting synchronous collaboration for constructing visualizations in intelligence analysis},
  booktitle = {IEEE Conference on Visual Analytics Science and Technology (VAST)},
  year = {2010},
  pages = {107--114}
}
Edelstein HA (2005), "Introduction to Data Mining and Knowledge Discovery", In Pattern Recognition. , pp. 1-36. Two Crows Corp.
BibTeX:
@book{Corporation2005,
  author = {Edelstein, Hebert A.},
  title = {Introduction to Data Mining and Knowledge Discovery},
  booktitle = {Pattern Recognition},
  publisher = {Two Crows Corp},
  year = {2005},
  pages = {1--36}
}
Daume H (2012), "Feature pruning and normalization", A course in machine learning. , pp. 54-57.
BibTeX:
@article{Daume2012,
  author = {Daume, Hal},
  title = {Feature pruning and normalization},
  journal = {A course in machine learning},
  year = {2012},
  pages = {54--57}
}
Drachsler H, Stoyanov S, Aquin M, Herder E and Guy M (2014), "An Evaluation Framework for Data Competitions in TEL", In 9th European Conference on Technology Enhanced Learning. (September), pp. 16-19.
BibTeX:
@inproceedings{Drachsler2014,
  author = {Drachsler, Hendrik and Stoyanov, Slavi and Aquin, Mathieu and Herder, Eelco and Guy, Marieke},
  title = {An Evaluation Framework for Data Competitions in TEL},
  booktitle = {9th European Conference on Technology Enhanced Learning},
  year = {2014},
  number = {September},
  pages = {16--19}
}
Weiss SM, Indurkhya N and Zhang T (2010), "Fundamentals of Predictive Text Mining", In Media. London Vol. 42, pp. 823. Springer London.
Abstract: Na.
BibTeX:
@book{Gries2010,
  author = {Weiss, Sholom M. and Indurkhya, Nitin and Zhang, Tong},
  title = {Fundamentals of Predictive Text Mining},
  booktitle = {Media},
  publisher = {Springer London},
  year = {2010},
  volume = {42},
  pages = {823}
}
Halkidi M, Spinellis D, Tsatsaronis G and Vazirgiannis M (2011), "Data mining in software engineering", Intelligent Data Analysis. Vol. 15(3), pp. 413-441.
BibTeX:
@article{Halkidi2011,
  author = {Halkidi, M. and Spinellis, D. and Tsatsaronis, G. and Vazirgiannis, M.},
  title = {Data mining in software engineering},
  journal = {Intelligent Data Analysis},
  year = {2011},
  volume = {15},
  number = {3},
  pages = {413--441}
}
Hand D, Hand D, Mannila H, Mannila H, Smyth P and Smyth P (2001), "Principles of data mining", In Drug safety : an international journal of medical toxicology and drug experience. Vol. 30, pp. 322. A Bradford Book.
BibTeX:
@book{Hand2001,
  author = {Hand, David and Hand, David and Mannila, Heikki and Mannila, Heikki and Smyth, Padhraic and Smyth, Padhraic},
  title = {Principles of data mining},
  booktitle = {Drug safety : an international journal of medical toxicology and drug experience},
  publisher = {A Bradford Book},
  year = {2001},
  volume = {30},
  pages = {322}
}
León M, Medina D, Martínez N and García Z (2008), "Two approaches to generate intelligent teaching-learning systems using artificial intelligence techniques", In 6th Mexican International Conference on Artificial Intelligence, Special Session (MICAI). , pp. 333-341.
BibTeX:
@inproceedings{Leon2008,
  author = {León, Maikel and Medina, Denysde and Martínez, Natalia and García, Zenaida},
  title = {Two approaches to generate intelligent teaching-learning systems using artificial intelligence techniques},
  booktitle = {6th Mexican International Conference on Artificial Intelligence, Special Session (MICAI)},
  year = {2008},
  pages = {333--341}
}
Morais EAM and Ambrósio APL (2007), "Mineração de Textos". Thesis at: Universidade Federal de Goiás. , pp. 29.
BibTeX:
@techreport{Morais2007,
  author = {Morais, Edison Andrade Martins and Ambrósio, Ana Paula L.},
  title = {Mineração de Textos},
  school = {Universidade Federal de Goiás},
  year = {2007},
  pages = {29}
}
Moscato and Zuben (1999), "Uma Visão Geral de Clusterização de Dados", Análise de Dados em Bioinformática.
BibTeX:
@article{Moscato1999,
  author = {Moscato and Zuben},
  title = {Uma Visão Geral de Clusterização de Dados},
  journal = {Análise de Dados em Bioinformática},
  year = {1999}
}
U. Piatetsky-Shapiro G & Smyth Fayyad P (1996), "From data mining to knowledge discovery in databases", Advances in Knowledge Discovery and Data Mining. , pp. 1-36.
BibTeX:
@article{P.1996,
  author = {P., Fayyad, U., Piatetsky-Shapiro, G & Smyth,},
  title = {From data mining to knowledge discovery in databases},
  journal = {Advances in Knowledge Discovery and Data Mining},
  year = {1996},
  pages = {1--36}
}
Paquette J and Tokuyasu T (2011), "Hypergraph visualization and enrichment statistics: how the EGAN paradigm facilitates organic discovery from Big Data", In The International Society for Optical Engineering - SPIE. Vol. 7865, pp. 78650E-78650E-18.
BibTeX:
@inproceedings{Paquette2011,
  author = {Paquette, Jesse and Tokuyasu, Taku},
  title = {Hypergraph visualization and enrichment statistics: how the EGAN paradigm facilitates organic discovery from Big Data},
  booktitle = {The International Society for Optical Engineering - SPIE},
  year = {2011},
  volume = {7865},
  pages = {78650E--78650E--18}
}
Rokach L (2005), "Ensemble Methods for Classifiers", In Data Mining and Knowledge Discovery Handbook. Boston, MA , pp. 957-980. Springer US.
BibTeX:
@inbook{Rokach2005a,
  author = {Rokach, Lior},
  title = {Ensemble Methods for Classifiers},
  booktitle = {Data Mining and Knowledge Discovery Handbook},
  publisher = {Springer US},
  year = {2005},
  pages = {957--980}
}
Shi L-K, Li J-W, Wu Q, He P-L and Peng Y-Q (2006), "An Incremental Algorithm Based on K Nearest Neighbor Projection for Nonlinear Dimensionality Reduction", In 5th International Conference on Machine Learning and Cybernetics -. , pp. 1-5.
BibTeX:
@inproceedings{Shi2006,
  author = {Shi, Lu-Kui and Li, Jian-Wei and Wu, Qing and He, Pi-Lian and Peng, Yu-Qing},
  title = {An Incremental Algorithm Based on K Nearest Neighbor Projection for Nonlinear Dimensionality Reduction},
  booktitle = {5th International Conference on Machine Learning and Cybernetics -},
  year = {2006},
  pages = {1--5}
}
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[Biblioteca] - Inteligência Artifical [Biblioteca] - Inteligência Artifical Reviewed by Vinicius dos Santos on 12:17:00 Rating: 5

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