Intelligent Information and Database Systems

1. Front Matter

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2. Machine Learning and Data Mining

   1. Intelligent Fuzzy Control with Multiple Constraints for a Model Car System with Multiplicative Disturbance

      • Wen-Jer Chang, Po-Hsun Chen, Bo-Jyun Huang

      Pages 1-12

   2. The Design of Knowledge-Based Medical Diagnosis System for Recognition and Classification of Dermatoglyphic Features

      • Hubert Wojtowicz, Jolanta Wojtowicz, Wiesław Wajs

      Pages 13-22

   3. Exact Discovery of Length-Range Motifs

      • Yasser Mohammad, Toyoaki Nishida

      Pages 23-32

   4. Feature Reduction Using Standard Deviation with Different Subsets Selection in Sentiment Analysis

      • Alireza Yousefpour, Roliana Ibrahim, Haza Nuzly Abdull Hamed, Mohammad Sadegh Hajmohammadi

      Pages 33-41

   5. A Support Vector Machine Approach to Detect Financial Statement Fraud in South Africa: A First Look

      • Stephen O. Moepya, Fulufhelo V. Nelwamondo, Christiaan Van Der Walt

      Pages 42-51

   6. Using Multi-agent Systems Simulations for Stock Market Predictions

      • Diana Dezsi, Emil Scarlat, Iulia Mărieş, Ramona-Mihaela Păun

      Pages 52-61

   7. Customer Lifetime Value and Defection Possibility Prediction Model Using Machine Learning: An Application to a Cloud-Based Software Company

      • Niken Prasasti, Masato Okada, Katsutoshi Kanamori, Hayato Ohwada

      Pages 62-71

   8. Mining Class Association Rules with the Difference of Obidsets

      • Loan T. T. Nguyen

      Pages 72-81

3. Multiple Model Approach to Machine Learning (MMAML 2014)

   1. Multi-Level Genetic-Fuzzy Mining with a Tuning Mechanism

      • Chun-Hao Chen, Yu Li, Tzung-Pei Hong

      Pages 82-89

   2. The Influence of a Classifiers’ Diversity on the Quality of Weighted Aging Ensemble

      • Michał Woźniak, Piotr Cal, Bogusław Cyganek

      Pages 90-99

   3. Comparison of Ensemble Approaches: Mixture of Experts and AdaBoost for a Regression Problem

      • Tadeusz Lasota, Bartosz Londzin, Zbigniew Telec, Bogdan Trawiński

      Pages 100-109

   4. The AdaBoost Algorithm with the Imprecision Determine the Weights of the Observations

      • Robert Burduk

      Pages 110-116

   5. Vehicle Logo Recognition with an Ensemble of Classifiers

      • Bogusław Cyganek, Michał Woźniak

      Pages 117-126

   6. Optimization Algorithms for One-Class Classification Ensemble Pruning

      • Bartosz Krawczyk, Michał Woźniak

      Pages 127-136

   7. Evaluation of Fuzzy System Ensemble Approach to Predict from a Data Stream

      • Bogdan Trawiński, Magdalena Smętek, Tadeusz Lasota, Grzegorz Trawiński

      Pages 137-146

4. Computational Intelligence (CI 2014)

   1. Genetic Transformation Techniques in Cryptanalysis

      • Urszula Boryczka, Kamil Dworak

      Pages 147-156

   2. On-the-Go Adaptability in the New Ant Colony Decision Forest Approach

      • Urszula Boryczka, Jan Kozak

      Pages 157-166

   3. Bootstrapping and Rule-Based Model for Recognizing Vietnamese Named Entity

      • Hieu Le Trung, Vu Le Anh, Kien Le Trung

      Pages 167-176

   4. A Family of the Online Distance-Based Classifiers

      • Joanna Jędrzejowicz, Piotr Jędrzejowicz

      Pages 177-186

The two-volume set LNAI 8397 and LNAI 8398 constitutes the refereed proceedings of the 6th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2014, held in Bangkok, Thailand in April 2014. The 125 revised papers presented were carefully reviewed and selected from 300 submissions. Suggestion: The aim of the conference is to provide an internationally respected forum for scientific research in the technologies and applications of intelligent information and database systems. The papers are organized in topical sections on Natural Language and Text Processing, Intelligent Information Retrieval, Semantic Web, Social Networks and Recommendation Systems, Intelligent Database Systems, Decision Support Systems, Computer Vision Techniques, Machine Learning and Data Mining, Multiple Model Approach to Machine Learning, MMAML 2014, Computational Intelligence, CI 2014, Engineering Knowledge and Semantic Systems , IWEKSS 2014, Innovations in Intelligent Computation and Applications, IICA 2014, Modelling and Optimization Techniques in Information Systems, Database Systems and Industrial Systems, MOT 2014, Innovation via Collective Intelligences and Globalization in Business Management, ICIGBM 2014, Intelligent Supply Chains, ISC 2014, and Human Motion: Acquisition, Processing, Analysis, Synthesis and Visualization for Massive Datasets, HMMD 2014.

• QoS
• information retrieval
• machine learning
• natural language processing
• pattern matching
• algorithm analysis and problem complexity

• Institute of Informatics, Wrocław University of Technology, Wrocław, Poland

  Ngoc Thanh Nguyen, Bogdan Trawiński

• Faculty of Engineering, Department of Computer Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

  Boonwat Attachoo

• Software Engineering Program, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

  Kulwadee Somboonviwat

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