Data mining.
Overview
| Works: | 94 works in 94 publications in 94 languages | |
|---|---|---|
Titles
Data mining solutions :methods and tools for solving real-world problems /
by:
(Language materials, printed)
Data mining cookbook :modeling data for marketing, risk and customer relationship management /
by:
(Language materials, printed)
The Customer differential :the complete guide to implementing customer relationship management /
by:
(Language materials, printed)
Information visualization in data mining and knowledge discovery /
by:
(Language materials, printed)
Data mining :practical machine learning tools and techniques with Java implementations /
by:
(Language materials, printed)
Applied data mining :statistical methods for business and industry /
by:
(Language materials, printed)
Advances in data mining :applications in E-commerce, medicine, and knowledge management /
by:
(Language materials, printed)
Web data mining and applications in business intelligence and counter-terrorism /
by:
(Language materials, printed)
Medical informatics :knowledge management and data mining in biomedicine /
by:
(Language materials, printed)
Fuzzy modeling and genetic algorithms for data mining and exploration /
by:
(Language materials, printed)
Making sense of data :a practical guide to exploratory data analysis and data mining /
by:
(Language materials, printed)
Constrained clustering :advances in algorithms, theory, and applications /
by:
(Language materials, printed)
Data mining and market intelligence for optimal marketing returns /
by:
(Language materials, printed)
Dynamic and advanced data mining for progressing technological development :innovations and systemic approaches /
by:
(Language materials, printed)
Data mining techniques :for marketing, sales, and customer relationship management /
by:
(Language materials, printed)
Knowledge discovery practices and emerging applications of data mining :trends and new domains /
by:
(Language materials, printed)
Data mining :concepts, methods and applications in management and engineering design /
by:
(Language materials, printed)
Multimedia information extraction :advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring /
by:
(Language materials, printed)
Machine interpretation of patterns :image analysis and data mining /
by:
(Language materials, printed)
Social media mining and social network analysis :emerging research /
by:
(Language materials, printed)
Research and development in e-business through service-oriented solutions /
by:
(Language materials, printed)
Applied predictive analytics :principles and techniques for the professional data analyst /
by:
(Language materials, printed)
Mining imperfect data :dealing with contamination and incomplete records /
by:
(Electronic resources)
Data mining techniquesfor marketing, sales, and customer relationship management /
by:
(Electronic resources)
Microsoft data miningintegrated business intelligence for e-Commerce and knowledge management /
by:
(Electronic resources)
Data mining techniquesfor marketing, sales, and customer relationship management /
by:
(Electronic resources)
Data as a service :a framework for providing reusable enterprise data services /
by:
(Language materials, printed)
Big data and social science :a practical guide to methods and tools /
by:
(Language materials, printed)
A practical guide to analytics for governments :using big data for good /
by:
(Language materials, printed)
Exploiting the power of group differences :using patterns to solve data analysis problems /
by:
(Language materials, printed)
Introduction to data science :data analysis and prediction algorithms with R /
by:
(Language materials, printed)
Big data in healthcare :statistical analysis of the electronic health record /
by:
(Language materials, printed)
Automated software testing :foundations, applications and challenges /
by:
(Language materials, printed)
Reproducible data science with Pachyderm :learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0 /
by:
(Language materials, printed)
Python data science :mastering python for beginners. a step-by-step guide for beginners (2022 crash course for all) /
by:
(Language materials, printed)
Data algorithms with Spark :recipes and design patterns for scaling up using PySpark /
by:
(Language materials, printed)
Data mining and exploration :from traditional statistics to modern data science /
by:
(Language materials, printed)
Show more
Fewer
Subjects