Bearbmagovva

Statistical and machine-learning data mining: techniques for better predictive modeling and analysis of big data/

Furkejuvvon:

Bibliográfalaš dieđut
Váldodahkki:	Ratner, Bruce
Materiálatiipa:	Girji
Giella:	eaŋgalasgiella
Almmustuhtton:	Boca Raton: CRC Pr., c2011
Preanttus:	2nded
Fáttát:	Database marketing-Statistical methods
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid

Statistical modeling and analysis fordatabase marketing : effective techniques for mining big data/
Dahkki: Ratner, Brua
Almmustuhtton: (2003)

Data mining methods and models
Dahkki: Larose, Daniel T.
Almmustuhtton: (2006)

Data mining techniques for marketing, sales, and customer relationship management
Dahkki: Berry, Michael J. A.
Almmustuhtton: (2004)

Data mining concepts and techniques /
Dahkki: Han, Jiawei
Almmustuhtton: (2012)

Big data, data mining, and machine learning: value creation for business leadeand practitioners /
Dahkki: Dean, Jared, 1978-
Almmustuhtton: (2014)

Data mining and predictive analytics /
Dahkki: Larose, Daniel T
Almmustuhtton: (2016)

Data mining and predictive analytics /
Dahkki: Larose, Daniel T
Almmustuhtton: (2016)

Data mining and predictive analytics /
Dahkki: Larose, Daniel T
Almmustuhtton: (2016)

Data science and big data analytics :
Dahkki: Services, EMC Education
Almmustuhtton: (2015)

Data science and big data analytics
Dahkki: EMC Education Services
Almmustuhtton: (2015)

Machine Learning and Data Mining for Sports Analytics 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers /
Almmustuhtton: (2023)

Machine Learning and Data Mining for Sports Analytics 10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023, Revised Selected Papers /
Almmustuhtton: (2024)

Remote Sensing Big Data
Dahkki: Di, Liping, et al.
Almmustuhtton: (2023)

Introduction to Data Mining/
Almmustuhtton: (2021)

Social big data mining
Dahkki: Ishikawa, Hiroshi
Almmustuhtton: (2015)

Big Data : Related Technologies, Challenges and Future Prospects /
Dahkki: Chen, Min
Almmustuhtton: (2014)

Data Communications /
Dahkki: Gupta , Prakash C.
Almmustuhtton: (1998)

Data Communications /
Dahkki: Gupta , Prakash C.
Almmustuhtton: (1998)

Data Communications /
Dahkki: Gupta , Prakash C.
Almmustuhtton: (1998)

Machine learning models and algorithms for big data classification: thinking with examples for effective learning /
Dahkki: Suthaharan, Shan
Almmustuhtton: (2016)

Data Mining : Practical Machine Learning Tools and techniques /
Dahkki: Witten, Ian
Almmustuhtton: (2011)

Data Mining : Practical Machine Learning Tools and techniques /
Dahkki: Witten, Ian
Almmustuhtton: (2011)

Data Mining : practical machine learning tools and techniques /
Dahkki: Witten, Ian H.
Almmustuhtton: (2011)

Data Mining : Practical Machine Learning Tools and techniques /
Dahkki: Witten, Ian
Almmustuhtton: (2011)

Data Mining : Practical Machine Learning Tools and Techniques /
Dahkki: H, Witten Ian
Almmustuhtton: (2008)

Data Mining : Practical Machine Learning Tools and Techniques /
Dahkki: Witten,Ian H
Almmustuhtton: (2014)

Data Mining Practical Machine Learning Tools and Techniques
Dahkki: H, Witten Ian
Almmustuhtton: (2008)

Data Mining Practical Machine Learning Tools and Techniques
Dahkki: Witten,Ian H
Almmustuhtton: (2014)

Machine Learning and Big Data Analytics 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 /
Almmustuhtton: (2023)

Secure data management
Almmustuhtton: (2005)

Statistical data mining and knowledge discovery
Dahkki: Bozdogan, Hamparsum, 1945-
Almmustuhtton: (2004)

Big Data, Machine Learning, and Applications Proceedings of the 2nd International Conference, BigDML 2021 /
Almmustuhtton: (2024)

Machine learning and artificial intelligence in marketing and sales : essential reference for practitioners and data scientists /
Dahkki: Syam, Niladri, et al.
Almmustuhtton: (2021)

Big Data Analytics in Astronomy, Science, and Engineering 11th International Conference on Big Data Analytics, BDA 2023, Aizu, Japan, December 5–7, 2023, Proceedings /
Almmustuhtton: (2024)

Big Data Analytics in Astronomy, Science, and Engineering 12th International Conference on Big Data Analytics, BDA 2024, Aizu, Japan, November 26–28, 2024, Proceedings /
Almmustuhtton: (2025)

Data Analytics and Machine Learning Navigating the Big Data Landscape /
Almmustuhtton: (2024)

Data warehouse lifecycle toolkit/
Dahkki: Ralph Kimball
Almmustuhtton: (2008)

Bidirectional Collaborative Data Management Collaboration Frameworks for Decentralized Systems /
Almmustuhtton: (2025)

DATA BASE MANAGEMANT SYSTEMS MS-DOS: EVALUATING MS-DOS DATA BASE SOFTWARE
Dahkki: Kruglinski, David
Almmustuhtton: (1986)

Data mining : concepts and techniques /
Dahkki: Han, Jiawei
Almmustuhtton: (2001)