Multi-label text classification: challenges, trends and solutions / Adil Yaseen Taha, Sabrina Tiun.

By: Contributor(s): Publisher: Bangi, Selangor: Penerbit Universiti Kebangsaan Malaysia, 2023Copyright date: ©2023Edition: Cetakan pertamaDescription: 132 pages : illustrations ; 20 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9786294860926
Subject(s):
Contents:
Chapter 1: Multi-label text classification: challenges, trends and solutions -- Chapter 2: Unified graphs on missed labels for multi-label text datasets -- Chapter 3: Enhanced over-sampling and under-sampling method for imbalanced text datasets -- Chapter 4: ensemble feature selection for high dimensionality problem.
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Item type Current library Home library Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN TUN SERI LANANG PERPUSTAKAAN TUN SERI LANANG BUKU BAHARU-P. TUN SERI LANANG (ARAS 5) QA76.9.T48.T335 (Browse shelf(Opens below)) 1 Available 00002279863
ARKIB PERPUSTAKAAN TUN SERI LANANG PERPUSTAKAAN TUN SERI LANANG KOLEKSI ARKIB-P. TUN SERI LANANG (ARAS 6) QA76.9.T48.T335 arkib (Browse shelf(Opens below)) 1 Available 00002281987

Chapter 1: Multi-label text classification: challenges, trends and solutions -- Chapter 2: Unified graphs on missed labels for multi-label text datasets -- Chapter 3: Enhanced over-sampling and under-sampling method for imbalanced text datasets -- Chapter 4: ensemble feature selection for high dimensionality problem.

Includes bibliographical references ([123]-130) and index.

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