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Data Mining

Bhavani Thuraisingham
€78.99
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A01=Bhavani Thuraisingham
artificial intelligence methods
Author_Bhavani Thuraisingham
Category=KCH
Category=PBT
Category=UNF
Category=UTF
Category=UY
Data Management Systems
Data Management Systems Evolution
Data Management Technologies
Data Mining
Data Mining Technique
Data Mining Tools
Data Warehousing
database
Database Systems
decision support systems
Distributed Database Systems
Distributed Object Management
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
graduate level resource
heterogeneous
Heterogeneous Data Sources
Heterogeneous Database
Heterogeneous Database Integration
Heterogeneous Database System
inductive
Inductive Logic Programming
Internet Database Management
logic
logic programming for knowledge discovery
machine
machine learning applications
Metadata Mining
Migrate Legacy Databases
Mine Multimedia Data
Mining Web Data
multimedia
Multimedia Data
Multimedia Database
Multimedia Database System
Object Database
privacy in data analysis
programming
statistical modeling techniques
system
tools
warehouse
Web Mining

Product details

  • ISBN 9780367400163
  • Weight: 403g
  • Dimensions: 156 x 234mm
  • Publication Date: 17 Oct 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges.

Three parts divide Data Mining:

  • Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining
  • Part II presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific approaches, examining a specific technique based on logic programming, and citing literature and vendors for up-to-date information
  • Part III examines emerging trends - mining distributed and heterogeneous data sources; multimedia data, such as text, images, video; mining data on the World Wide Web; metadata aspects of mining; and privacy issues.

    This self-contained book also contains two appendices providing exceptional information on technologies, such as data management, and artificial intelligence.

    Is there a need for mining? Do you have the right tools? Do you have the people to do the work? Do you have sufficient funds allocated to the project? All these answers must be answered before embarking on a project. Data Mining provides singular guidance on appropriate applications for specific techniques as well as thoroughly assesses valuable product information.
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    About Bhavani Thuraisingham
    Thuraisingham, Bhavani

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