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  • Conference proceedings
  • © 2017

Recent Advances on Soft Computing and Data Mining

The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings

  • Includes the latest research on Soft Computing and Data Mining

  • Presents the proceedings of the international conference on Soft Computing and Data Mining (SCDM-2016), held in Bandung, Indonesia on August 18th–20th 2016

  • Written by experts in the field

  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 549)

Conference series link(s): SCDM: International Conference on Soft Computing and Data Mining

Conference proceedings info: SCDM 2016.

Buying options

eBook USD 269.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-51281-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 349.00
Price excludes VAT (USA)

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Table of contents (65 papers)

  1. Front Matter

    Pages i-xxi
  2. Soft Computing

    1. Front Matter

      Pages 1-1
    2. Cluster Validation Analysis on Attribute Relative of Soft-Set Theory

      • Rabiei Mamat, Ahmad Shukri Mohd Noor, Tutut Herawan, Mustafa Mat Deris
      Pages 3-10
    3. Optimizing Weights in Elman Recurrent Neural Networks with Wolf Search Algorithm

      • Nazri Mohd. Nawi, M. Z. Rehman, Norhamreeza Abdul Hamid, Abdullah Khan, Rashid Naseem, Jamal Uddin
      Pages 11-20
    4. Optimization of ANFIS Using Artificial Bee Colony Algorithm for Classification of Malaysian SMEs

      • Mohd. Najib Mohd. Salleh, Kashif Hussain, Rashid Naseem, Jamal Uddin
      Pages 21-30
    5. A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site

      • Nurnadiah Zamri, Fadhilah Ahmad, Ahmad Nazari Mohd Rose, Mokhairi Makhtar
      Pages 41-50
    6. Formation Control Optimization for Odor Localization

      • Bambang Tutuko, Siti Nurmaini, Rendyansyah, P. P. Aditya, Saparudin
      Pages 51-61
    7. A New Search Direction for Broyden’s Family Method in Solving Unconstrained Optimization Problems

      • Mohd Asrul Hery Ibrahim, Zailani Abdullah, Mohd Ashlyzan Razik, Tutut Herawan
      Pages 62-70
    8. Improved Functional Link Neural Network Learning Using Modified Bee-Firefly Algorithm for Classification Task

      • Yana Mazwin Mohmad Hassim, Rozaida Ghazali, Noorhaniza Wahid
      Pages 71-80
    9. A Study of Data Imputation Using Fuzzy C-Means with Particle Swarm Optimization

      • Nurul Ashikin Samat, Mohd Najib Mohd Salleh
      Pages 91-100
    10. One-Way ANOVA Model with Fuzzy Data for Consumer Demand

      • Pei Chun Lin, Nureize Arbaiy, Isredza Rahmi Abd. Hamid
      Pages 111-121
    11. Chicken S-BP: An Efficient Chicken Swarm Based Back-Propagation Algorithm

      • Abdullah Khan, Nazri Mohd Nawi, Rahmat Shah, Nasreen Akhter, Atta Ullah, M. Z. Rehman et al.
      Pages 122-129

Other Volumes

  1. Recent Advances on Soft Computing and Data Mining

    The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings

About this book

This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data.

The book is based on the Soft Computing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th–20th 2016 to discuss the state of the art in soft computing techniques, and offer participants sufficient knowledge to tackle a wide range of complex systems. The scope of the conference is reflected in the book, which presents a balance of soft computing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem.

Keywords

  • Data Mining
  • Intelligent Computing
  • SCDM
  • SCDM 2015
  • Soft Computing

Editors and Affiliations

  • Department of Information System, University of Malaya, Kuala Lumpur, Malaysia

    Tutut Herawan

  • Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris

Bibliographic Information

  • Book Title: Recent Advances on Soft Computing and Data Mining

  • Book Subtitle: The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings

  • Editors: Tutut Herawan, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-51281-5

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • License: CC BY

  • Softcover ISBN: 978-3-319-51279-2

  • eBook ISBN: 978-3-319-51281-5

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XXI, 649

  • Number of Illustrations: 98 b/w illustrations, 117 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Data Mining and Knowledge Discovery

Buying options

eBook USD 269.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-51281-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 349.00
Price excludes VAT (USA)