Process, Data and Classifier Models for Accessible Supervised Classification Problem Solving.

Process, Data and Classifier Models for Accessible Supervised Classification Problem Solving.

Saved in:

Bibliographic Details
Main Author:	De Bruyne, Steven
Format:	eBook
Language:	English
Published:	Bruxelles : ASP, 2010.
Subjects:	Data mining. Machine learning. Computational intelligence. Computational intelligence Data mining Machine learning
Online Access:	Click for online access

Similar Items

Next-generation sequencing and sequence data analysis
by: Ping Chiu, Kuo
Published: (2016)

Proceedings of Academia-Industry Consortium for Data Science : AICDS 2020
Published: (2022)

Computational intelligence in data science : 4th IFIP TC 12 International Conference, ICCIDS 2021, Chennai, India, March 18-20, 2021 : revised selected papers
Published: (2021)

Machine learning technologies and applications : Proceedings of ICACECS 2020
Published: (2021)

Data classification and incremental clustering in data mining and machine learning
by: Chakraborty, Sanjay, et al.
Published: (2022)

Trends of data science and applications : theory and practices
Published: (2021)

Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings. Part III
Published: (2020)

Modern approach to educational data mining and its applications
by: Sweta, Soni
Published: (2021)

Nature-inspired computation in data mining and machine learning
Published: (2020)

Machine learning for data science handbook : data mining and knowledge discovery handbook
Published: (2023)

Machine learning and data mining in aerospace technology
Published: (2020)

Computational intelligence in data science : third IFIP TC 12 International Conference, ICCIDS 2020 Chennai, India, February 20-22, 2020, revised selected papers
Published: (2020)

Machine learning and data mining for emerging trend in cyber dynamics : theories and applications
Published: (2021)

Metalearning : applications to automated machine learning and data mining
by: Brazdil, Pavel B., 1945-, et al.
Published: (2022)

Productive and efficient data science with Python : with modularizing, memory profiles, and parallel/GPU processing
by: Sarkar, Tirthajyoti
Published: (2022)

Advances in intelligent systems and computing V : selected papers from the International Conference on Computer Science and Information Technologies, CSIT 2020, September 23-26, 2020, Zbarazh, Ukraine
Published: (2021)

Machine learning for text
by: Aggarwal, Charu C.
Published: (2022)

Deep learning in mining of visual content
Published: (2020)

Machine learning and knowledge discovery in databases : Applied data science track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings. Part V
Published: (2021)

Machine learning and knowledge discovery in databases : Applied data science track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings. Part IV
Published: (2021)

Advanced data analytics using Python : with architectural patterns, text and image classification, and optimization techniques
by: Mukhopadhyay, Sayan, et al.
Published: (2023)

Data science revealed : with feature engineering, data visualization, pipeline development, and hyperparameter tuning
by: Nokeri, Tshepo Chris
Published: (2021)

Data, engineering and applications : select proceedings of IDEA 2021
Published: (2022)

Machine learning and principles and practice of knowledge discovery in databases : international workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022 : proceedings. Part II
Published: (2023)

Machine learning and knowledge extraction : 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, Virtual event, August 17-20, 2021, Proceedings
Published: (2021)

Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings. Part I
Published: (2020)

Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings. Part II
Published: (2020)

Machine learning and knowledge discovery in databases : International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, proceedings. Part II
Published: (2020)

Machine learning and knowledge discovery in databases : International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, proceedings. Part I
Published: (2020)

ECML PKDD 2020 Workshops : Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): Sogood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings
Published: (2020)

Machine learning and knowledge discovery in databases : Research track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings. Part III
Published: (2021)

Machine learning and knowledge discovery in databases : Research track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings. Part I
Published: (2021)

Machine learning and knowledge discovery in databases : Research track : European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings. Part II
Published: (2021)

Machine learning for intelligent multimedia analytics : techniques and applications
Published: (2021)

Data science and Internet of things : research and applications at the intersection of DS and IoT
Published: (2021)

How to Talk to Data Scientists A Guide for Executives.
by: Elser, Jeremy
Published: (2021)

Deep learning with Python : learn best practices of deep learning models with PyTorch
by: Ketkar, Nikhil, et al.
Published: (2021)

Data mining : practical machine learning tools and techniques
by: Witten, I. H. (Ian H.), et al.
Published: (2011)

Applied machine learning and data analytics : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22-23, 2022, Revised selected papers
Published: (2023)

Data science : from research to application
Published: (2020)