Principles of data mining / Max Bramer.
Material type: TextSeries: Undergraduate topics in computer sciencePublisher: London : Springer, 2020Edition: 4th editionDescription: 571 pages : illustrations (black and white) ; 24 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781447174929 (pbk.) :Subject(s): Data mining | Computers and IT | Computers and ITDDC classification: 006.3'12 Summary: This resource explains the principal techniques of data mining, for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed examples, with a focus on algorithms rather than mathematical formalism.Item type | Current library | Home library | Shelving location | Class number | Status | Date due | Barcode | Item reservations | |
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Book | Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 006.312 BRA (Browse shelf(Opens below)) | Available | 06710506 | |||
Book | Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 006.312 BRA (Browse shelf(Opens below)) | Available | 06710514 |
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Includes bibliographical references and index.
This resource explains the principal techniques of data mining, for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed examples, with a focus on algorithms rather than mathematical formalism.
Specialized.
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