Advanced Machine Learning Technologies and Applications

1. Front Matter

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2. Rough Sets and Applications

   1. Front Matter

      Pages 1-1

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   2. Rough Sets-Based Machine Learning over Non-deterministic Data: A Brief Survey

      • Hiroshi Sakai, Mao Wu, Michinori Nakata, Dominik Ślęzak

      Pages 3-12

   3. A Role of (Not) Crisp Discernibility in Rough Set Approach to Numeric Feature Selection

      • Dominik Ślęzak, Paweł Betliński

      Pages 13-23

   4. Learning a Table from a Table with Non-deterministic Information: A Perspective

      • Mao Wu, Naoto Yamaguchi, Michinori Nakata, Hiroshi Sakai

      Pages 24-32

   5. Parameterised Fuzzy Petri Nets for Approximate Reasoning in Decision Support Systems

      • Zbigniew Suraj

      Pages 33-42

   6. New Method for Finding Rules in Incomplete and Distributed Information Systems Controlled by Reducts

      • Agnieszka Dardzinska Jolanta Pauk

      Pages 43-51

   7. Rough Sets-Based Rules Generation Approach: A Hepatitis C Virus Data Sets

      • Ahmed Zaki, Mostafa A. Salama, Hesham Hefny, Aboul Ella Hassanien

      Pages 52-59

   8. Mammogram Segmentation Using Rough k-Means and Mass Lesion Classification with Artificial Neural Network

      • Vibha Bafna Bora, A. G. Kothari, A. G. Keskar

      Pages 60-69

3. Machine Learning in Pattern Recognition and Image Processing

   1. Front Matter

      Pages 71-71

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   2. Automatic Color Image Segmentation Based on Illumination Invariant and Superpixelization

      • Muhammed Salem, Abdelhameed Ibrahim, Hesham Arafat

      Pages 73-81

   3. CBARS: Cluster Based Classification for Activity Recognition Systems

      • Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy

      Pages 82-91

   4. Wavelet Based Statistical Adapted Local Binary Patterns for Recognizing Avatar Faces

      • Abdallah A. Mohamed, Roman V. Yampolskiy

      Pages 92-101

   5. Solving Avatar Captchas Automatically

      • Mohammed Korayem, Abdallah A. Mohamed, David Crandall, Roman V. Yampolskiy

      Pages 102-110

   6. Comparative Analysis of Image Fusion Techniques in Remote Sensing

      • J. Jayanth, T. Ashok Kumar, Shivaprakash Koliwad

      Pages 111-117

   7. Density Based Fuzzy Thresholding for Image Segmentation

      • Jianli Li, Bingbin Dai, Kai Xiao, Aboul Ella Hassanien

      Pages 118-127

   8. Subjectivity and Sentiment Analysis of Arabic: A Survey

      • Mohammed Korayem, David Crandall, Muhammad Abdul-Mageed

      Pages 128-139

4. Machine Learning in Multimedia Computing

   1. Front Matter

      Pages 141-141

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   2. Support Vector Machine Approach for Detecting Events in Video Streams

      • Ahlem Walha, Ali Wali, Adel M. Alimi

      Pages 143-151

   3. Study of Feature Categories for Musical Instrument Recognition

      • Glenn Eric Hall, Hassan Ezzaidi, Mohammed Bahoura

      Pages 152-161

This book constitutes the refereed proceedings of the First International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2012, held in Cairo, Egypt, in December 2012. The 58 full papers presented were carefully reviewed and selected from 99 intial submissions. The papers are organized in topical sections on rough sets and applications, machine learning in pattern recognition and image processing, machine learning in multimedia computing, bioinformatics and cheminformatics, data classification and clustering, cloud computing and recommender systems.

• Web services
• assistive technology
• global optimization
• neural network
• probabilistic ontologies
• algorithm analysis and problem complexity

• Cairo University, Egypt

  Aboul Ella Hassanien, Rabie Ramadan

• Ain Shams University, Cairo, Egypt

  Abdel-Badeeh M. Salem

• University of Tasmania, Australia

  Tai-hoon Kim

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