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Active mining : new directions of data mining / edited by Hiroshi Motoda.

Συντελεστής(ές): Τύπος υλικού: ΚείμενοΚείμενοΣειρά: Frontiers in artificial intelligence and applications ; v. 79.Λεπτομέρειες δημοσίευσης: Amsterdam ; Washington, DC : IOS Press ; Tokyo : Ohmsha, c2002.Περιγραφή: 1 ηλεκτρονική πηγή (x, 291 σ.) : εικISBN:
  • 0585458901
  • 9780585458908
  • 160129400X
  • 9781601294005
Θέμα(τα): Είδος/Μορφή: Επιπρόσθετες φυσικές μορφές: Έντυπη έκδοση:: Active mining.Ταξινόμηση DDC:
  • 006.3 22
Πηγές στο διαδίκτυο:
Περιεχόμενα:
Cover; Title page; Preface; Acknowledgments; Contents; I. Data Collection; Toward Active Mining from On-line Scientific Text Abstracts Using Pre-existing Sources; Data Mining on the WAVEs -- Word-of-mouth-Assisting Virtual Environments; Immune Network-based Clustering for WWW Information Gathering/Visualization; Interactive Web Page Retrieval with Relational Learning-based Filtering Rules; Monitoring Partial Update of Web Pages by Interactive Relational Learning; Context-based Classification of Technical Terms Using Support Vector Machines.
Σημείωση ενεργειών:
  • digitized 2010 committed to preserve
Περίληψη: Focusing on data mining, this work is a joint effort from researchers in Japan, and includes a report on the forefront of data collection, user-centred mining and user interaction/reaction. It offers an overview of modern solutions with real-world applications, sharing hard-learned experiences.
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Includes bibliographical references and author index.

Cover; Title page; Preface; Acknowledgments; Contents; I. Data Collection; Toward Active Mining from On-line Scientific Text Abstracts Using Pre-existing Sources; Data Mining on the WAVEs -- Word-of-mouth-Assisting Virtual Environments; Immune Network-based Clustering for WWW Information Gathering/Visualization; Interactive Web Page Retrieval with Relational Learning-based Filtering Rules; Monitoring Partial Update of Web Pages by Interactive Relational Learning; Context-based Classification of Technical Terms Using Support Vector Machines.

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Focusing on data mining, this work is a joint effort from researchers in Japan, and includes a report on the forefront of data collection, user-centred mining and user interaction/reaction. It offers an overview of modern solutions with real-world applications, sharing hard-learned experiences.

Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010.

digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL

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