Cover Image

QR Code

Automatic Design of Decision-Tree Induction Algorithms

Presents a detailed study of the major design components that constitute a top-down decision-tree induction algorithm, including aspects such as split criteria, stopping criteria, pruning and the approaches for dealing with missing values. Whereas the strategy still employed nowadays is to use a �...

Full description

Main Authors:	Barros, Rodrigo C. (Author, http://id.loc.gov/vocabulary/relators/aut), de Carvalho, André C.P.L.F. (http://id.loc.gov/vocabulary/relators/aut), Freitas, Alex A. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author:	SpringerLink (Online service)
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:	1st ed. 2015.
Series:	SpringerBriefs in Computer Science,
Subjects:	Data mining. Pattern recognition. Data Mining and Knowledge Discovery. Pattern Recognition.
Online Access:	https://doi.org/10.1007/978-3-319-14231-9

Similar Items

Pattern recognition : a quality of data perspective Wadysaw Homenda, Witold Pedrycz.
by: Homenda, Wadysaw
Published: (2018)

Support vector machines : theory and applications Lipo Wang (ed.).
Published: (2005)

Pattern recognition algorithms for data mining : scalability, knowledge discovery and soft granular computing Sankar K. Pal and Pabitra Mitra.
by: Pal
Published: (2004)

Automatic diatom identification editors Hans du Buf, Micha M. Bayer.
Published: (2002)

Data Mining The Textbook / by Charu C. Aggarwal.
by: Aggarwal, Charu C., et al.
Published: (2015)

Recent advances on soft computing and data mining : Proceedings of the fourth international conference on soft computing and data mining (SCDM 2020), Melaka, Malaysia, January 22-23 2020 Editors : Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy.
Published: (2020)

The dissimilarity representation for pattern recognition : foundations and applications Elzbieta Pekalska, Robert P.W. Duin.
by: Pekalska, Elzbieta
Published: (2005)

Geometric data analysis : an empirical approach to dimensionality reduction and the study of patterns Michael Kirby.
by: Kirby, Michael
Published: (2001)

Pattern recognition and machine learning Christopher M. Bishop.
by: Bishop, Christopher M
Published: (2006)

Invariants for pattern recognition and classification editor Marcos A. Rodrigues.
Published: (2000)

Pattern recognition : from classical to modern approaches editors ; Sankar K. Pal & Amita Pal.
Published: (2001)

Pattern recognition in soft computing paradigm editorNikhil R. Pal.
Published: (2001)

Handbook of pattern recognition and computer vision edited by C.H. Chen, P.S.P. Wang.
Published: (2005)

Adaptive Resonance Theory in Social Media Data Clustering Roles, Methodologies, and Applications / by Lei Meng, Ah-Hwee Tan, Donald C. Wunsch II.
by: Meng, Lei., et al.
Published: (2019)

Image pattern recognition : synthesis and analysis in biometrics editors, Svetlana N. Yanushkevich ... [et al.].
Published: (2007)

Handbook of Iris Recognition edited by Mark J. Burge, Kevin Bowyer.
Published: (2013)

Handbook of Iris Recognition edited by Kevin W. Bowyer, Mark J. Burge.
Published: (2016)

Progress in handwriting recognition editors A. C. Downton and S. Impedovo.
Published: (1997)

Pattern classification Richard O. Duda, Peter E. Hart, David G. Stork.
by: Duda, Richard O.
Published: (2001)

Classification methods for remotely sensed data Brandt Tso and Paul Mather.
by: Tso, Brandt
Published: (2001)

Classification methods for remotely sensed data Brandt Tso, Paul M. Mather.
by: Tso, Brandt
Published: (2009)

Recognition of whiteboard notes : online, offline and combination Marcus Liwicki, Horst Bunke.
by: Liwicki, Marcus
Published: (2008)

Anomaly Detection Principles and Algorithms by Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang.
by: Mehrotra, Kishan G., et al.
Published: (2017)

Data Science Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I / edited by Beiji Zou, Min Li, Hongzhi Wang, Xianhua Song, Wei Xie, Zeguang Lu.
Published: (2017)

Deep Learning in Object Detection and Recognition edited by Xiaoyue Jiang, Abdenour Hadid, Yanwei Pang, Eric Granger, Xiaoyi Feng.
Published: (2019)

Data Science Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part II / edited by Beiji Zou, Qilong Han, Guanglu Sun, Weipeng Jing, Xiaoning Peng, Zeguang Lu.
Published: (2017)

Artificial Neural Networks in Pattern Recognition 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings / edited by Frank-Peter Schilling, Thilo Stadelmann.
Published: (2020)

Advances in Bioinformatics and Computational Biology 8th Brazilian Symposium on Bioinformatics, BSB 2013, Recife, Brazil, November 3-7, 2013, Proceedings / edited by João C. Setubal, Nalvo F. Almeida.
Published: (2013)

Random graphs for statistical pattern recognition David J. Marchette.
by: Marchette
Published: (2004)

Data complexity in pattern recognition Mitra Basu and Tin Kam Ho (editors).
Published: (2006)

Bioinformatics Research and Applications 10th International Symposium, ISBRA 2014, Zhangjiajie, China, June 28-30, 2014, Proceedings / edited by Mitra Basu, Yi Pan, Jianxin Wang.
Published: (2014)

Algorithmic Learning Theory 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings / edited by Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles.
Published: (2014)

Algorithmic Learning Theory 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings / edited by Kamalika Chaudhuri, CLAUDIO GENTILE, Sandra Zilles.
Published: (2015)

Algorithmic Learning Theory 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings / edited by Ronald Ortner, Hans Ulrich Simon, Sandra Zilles.
Published: (2016)

Bioinformatics Research and Applications 11th International Symposium, ISBRA 2015 Norfolk, USA, June 7-10, 2015 Proceedings / edited by Robert Harrison, Yaohang Li, Ion Măndoiu.
Published: (2015)

Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II / edited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo.
Published: (2014)

Fundamentals of the New Artificial Intelligence Neural, Evolutionary, Fuzzy and More / by Toshinori Munakata.
by: Munakata, Toshinori., et al.
Published: (2008)

Encyclopedia of Machine Learning and Data Mining edited by Claude Sammut, Geoffrey I. Webb.
Published: (2017)

Learning Representation for Multi-View Data Analysis Models and Applications / by Zhengming Ding, Handong Zhao, Yun Fu.
by: Ding, Zhengming., et al.
Published: (2019)

Machine Learning and Data Mining for Sports Analytics 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann.
Published: (2019)