lecture notes in artificial intelligence 7803 - springer978-3-642-36543-0/1.pdf · lecture notes...

22
Lecture Notes in Artificial Intelligence 7803 Subseries of Lecture Notes in Computer Science LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany

Upload: duonganh

Post on 30-May-2019

227 views

Category:

Documents


0 download

TRANSCRIPT

Lecture Notes in Artificial Intelligence 7803

Subseries of Lecture Notes in Computer Science

LNAI Series Editors

Randy GoebelUniversity of Alberta, Edmonton, Canada

Yuzuru TanakaHokkaido University, Sapporo, Japan

Wolfgang WahlsterDFKI and Saarland University, Saarbrücken, Germany

LNAI Founding Series Editor

Joerg SiekmannDFKI and Saarland University, Saarbrücken, Germany

Ali Selamat Ngoc Thanh NguyenHabibollah Haron (Eds.)

Intelligent Informationand Database Systems5th Asian Conference, ACIIDS 2013Kuala Lumpur, Malaysia, March 18-20, 2013Proceedings, Part II

13

Series Editors

Randy Goebel, University of Alberta, Edmonton, CanadaJörg Siekmann, University of Saarland, Saarbrücken, GermanyWolfgang Wahlster, DFKI and University of Saarland, Saarbrücken, Germany

Volume Editors

Ali SelamatUniversiti Teknologi MalaysiaFaculty of Computing, Department of Software Engineering81310 UTM Skudai, Johor, MalaysiaE-mail: [email protected]

Ngoc Thanh NguyenWrocław University of TechnologyInstitute of Informatics, Division of Knowledge Management SystemsStr. Wybrzeze Wyspianskiego 27, 50-370 Wrocław, PolandE-mail: [email protected]

Habibollah HaronUniversiti Teknologi MalaysiaFaculty of Computing, Department of Computer Science81310 UTM Skudai, Johor, MalaysiaE-mail: [email protected]

ISSN 0302-9743 e-ISSN 1611-3349ISBN 978-3-642-36542-3 e-ISBN 978-3-642-36543-0DOI 10.1007/978-3-642-36543-0Springer Heidelberg Dordrecht London New York

Library of Congress Control Number: 2013930842

CR Subject Classification (1998): I.2.1, I.2.3-4, I.2.6-8, I.2.11, H.3.3-5, H.2.8,H.4.1-3, H.5.3, I.4.9, I.5.1-4, K.4.4

LNCS Sublibrary: SL 7 – Artificial Intelligence

© Springer-Verlag Berlin Heidelberg 2013

This work is subject to copyright. All rights are reserved, whether the whole or part of the material isconcerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting,reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publicationor parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965,in ist current version, and permission for use must always be obtained from Springer. Violations are liableto prosecution under the German Copyright Law.The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply,even in the absence of a specific statement, that such names are exempt from the relevant protective lawsand regulations and therefore free for general use.

Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India

Printed on acid-free paper

Springer is part of Springer Science+Business Media (www.springer.com)

Preface

ACIIDS 2013 was the fifth event of the series of international scientific confer-ences for research and applications in the field of intelligent information anddatabase systems. The aim of ACIIDS 2013 was to provide an internationallyrespected forum for scientific research in the technologies and applications ofintelligent information and database systems. ACIIDS 2013 was co-organized byUniversiti Teknologi Malaysia (Malaysia) and Wroclaw University of TechnologyPoland (Poland) in co-operation with Nguyen Tat Thanh University (Vietnam)and took place in Kuala Lumpur (Malaysia) during March 18–20, 2013. The firsttwo events, ACIIDS 2009 and ACIIDS 2010, took place in Dong Hoi City andHue City in Vietnam, respectively. The third event, ACIIDS 2011, took place inDaegu (Korea), while the fourth event, ACIIDS 2012, took place in Kaohsiung(Taiwan).

Submissions came from 20 countries from all over the world. Each paper waspeer reviewed by at least two members of the International Program Committeeand International Reviewer Board. Only 108 papers with the highest quality wereselected for oral presentation and publication in the two-volumes proceedings ofACIIDS 2013.

The papers included in the proceedings cover the following topics: intelligentdatabase systems, data warehouses and data mining, natural language processingand computational linguistics, Semantic Web, social networks and recommenda-tion systems, collaborative systems and applications, e-business and e-commercesystems, e-learning systems, information modeling and requirements engineering,information retrieval systems, intelligent agents and multi-agent systems, intel-ligent information systems, intelligent Internet systems, intelligent optimizationtechniques, object-relational DBMS, ontologies and knowledge sharing, semi-structured and XML database systems, unified modeling language and unifiedprocesses, Web services and Semantic Web, computer networks and communi-cation systems.

Accepted and presented papers highlight new trends and challenges of in-telligent information and database systems. The presenters showed how newresearch could lead to new and innovative applications. We hope you will findthese results useful and inspiring for your future research.

We would like to express our sincere thanks to the Honorary Chairs, ZainiUjang (Universiti Teknologi Malaysia, Malaysia) and Tadeusz Wi ↪eckowski (Rec-tor of Wroclaw University of Technology, Poland) for their support.

Our special thanks go to the General Co-chair, Program Co-chairs, all Pro-gram and Reviewer Committee members, and all the additional reviewers fortheir valuable efforts in the review process that helped us to guarantee the high-est quality of the selected papers for the conference. We cordially thank the

VI Preface

organizers and chairs of special sessions, who essentially contributed to the suc-cess of the conference.

We also would like to express our thanks to the Keynote Speakers (HoangPham, Naomie Salim, Mong-Fong Horng, Sigeru Omatu) for their interestingand informative talks of world-class standard.

We cordially thank our main sponsors, Universiti Teknologi Malaysia(Malaysia), Wroclaw University of Technology (Poland), and Nguyen Tat ThanhUniversity (Vietnam). Our special thanks are due also to Springer for publishingthe proceedings, and to the other sponsors for their kind support.

We wish to thank the members of the Organizing Committee for their verysubstantial work, especially those who played essential roles: Habibollah Haron(Organizing Chair) and the members of the Local Organizing Committee fortheir excellent work.

We cordially thank all the authors for their valuable contributions and otherparticipants of this conference. The conference would not have been possiblewithout them.

Thanks are also due to many experts who contributed to making the eventa success.

March 2013 Ngoc Thanh NguyenAli Selamat

Conference Organization

Honorary Chairs

Zaini Ujang Vice Chancellor of Universiti TeknologiMalaysia, Malaysia

Tadeusz Wieckowski President of Wroclaw University of Technology,Poland

General Co-chairs

Ngoc Thanh Nguyen Wroclaw University of Technology, PolandMohd Aizaini Maarof Universiti Teknologi Malaysia, Malaysia

Program Chairs

Ali Selamat Universiti Teknologi Malaysia, MalaysiaShyi-Ming Chen National Taiwan University of Science and

Technology, Taiwan

Organizing Chair

Habibollah Haron Universiti Teknologi Malaysia, Malaysia

Session Chairs

Andri Mirzal Universiti Teknologi Malaysia, MalaysiaBogdan Trawinski Wroclaw University of Technology, PolandJason J. Jung Yeungnam University, Republic of Korea

Organizing Committee

Roliana Ibrahim Universiti Teknologi Malaysia, MalaysiaNor Erne Nazira Bazin Universiti Teknologi Malaysia, MalaysiaDewi Nasien Universiti Teknologi Malaysia, MalaysiaMohamad Shukor Talib Universiti Teknologi Malaysia, Malaysia

VIII Conference Organization

Steering Committee

Ngoc Thanh Nguyen Chair, Wroclaw University of Technology,Poland

Longbing Cao University of Technology Sydney, AustraliaTu Bao Ho Japan Advanced Institute of Science and

Technology, JapanTzung-Pei Hong National University of Kaohsiung, TaiwanLakhmi C. Jain University of South Australia, AustraliaGeun-Sik Jo Inha University, KoreaJason J. Jung Yeungnam University, KoreaHoai An Le-Thi University Paul Verlaine – Metz, FranceToyoaki Nishida Kyoto University, JapanLeszek Rutkowski Technical University of Czestochowa, PolandDickson Lukose Knowledge Technology Cluster at MIMOS

BHD, Malaysia

Keynote Speakers

Hoang Pham Rutgers, The State University of New Jersey,USA

Naomie Salim Universiti Teknologi Malaysia, MalaysiaMong-Fong Horng National Kaohsiung University of Applied

Sciences, TaiwanSigeru Omatu Osaka Institute of Technology, Japan

Special Sessions Organizers

1. International Workshop on Engineering Knowledge and Semantic Systems(IWEKSS 2013)

Jason J. Jung Yeungnam University, KoreaDariusz Krol Wroclaw University of Technology, Poland

2. Modelling and Optimization Techniques in Information Systems, DatabaseSystems and Industrial Systems (MOT-ACIIDS 2013)

Le Thi Hoai An University of Lorraine, FrancePham Dinh Tao INSA-Rouen, France

3. Intelligent Supply Chains (ISC 2013)

Arkadiusz Kawa Poznan University of Economics, PolandPaulina Golinska Poznan University of Technology, PolandMilena Ratajczak-Mrozek Poznan University of Economics, Poland

Conference Organization IX

4. Intelligent Systems for Medical Applications (ISMA 2013) InformationSystems and Industrial Engineering (MOT-ISIE)

Uvais Qidwai Qatar University, Qatar

5. Innovations in Intelligent Computation and Applications (ICA 2013)

Shyi-Ming Chen National Taiwan University ofScience and Technology, Taiwan

6. Computational Biology and Bioinformatics (CBB 2013)

Mohd Saberi Mohamad Universiti Teknologi Malaysia, Malaysia

7. Multiple Model Approach to Machine Learning (MMAML 2013)

Tomasz Kajdanowicz Wroclaw University of Technology, PolandTomasz �Luczak Wroclaw University of Technology, PolandGrzegorz Matoga Wroclaw University of Technology, Poland

8. Intelligent Recommender Systems (IRS 2013)

AdriannaKozierkiewicz-Hetmanska Wroclaw University of Technology

Ngoc Thanh Nguyen Wroclaw University of Technology

9. Applied Data Mining for Semantic Web (ADMSW 2013)

Trong Hai Duong Quang Binh University, VietnamBay Vo Information Technology College, Vietnam

International Program Committee

Abdul Rahim Ahmad Universiti Tenaga Nasional, MalaysiaAbdul Samad Ismail Universiti Teknologi Malaysia, MalaysiaAbdul Samad Shibghatullah Universiti Teknikal Malaysia, MalaysiaAdrianna

Kozierkiewicz-Hetmanska Wroc�law University of Technology,Poland

Alex Sim Universiti Teknologi Malaysia, MalaysiaAlvin Yeo Universiti Malaysia Sarawak, MalaysiaAmir Shafie International Islamic University Malaysia,

MalaysiaAnnabel Latham The Manchester Metropolitan University,

UK

X Conference Organization

Antoni Wibowo Universiti Teknologi Malaysia, MalaysiaArkadiusz Kawa Poznan University of Economics, PolandAryati Bakri Universiti Teknologi Malaysia, MalaysiaAzlan Mohd Zain Universiti Teknologi Malaysia, MalaysiaAzurah Abu Samah Universiti Teknologi Malaysia, MalaysiaBay Vo Information Technology College,

VietnamBehnam Rouzbehani Islamic Azad University, Central Tehran

Branch, IranBing-Han Tsai National Taiwan University of Science

and Technology, MalaysiaBjoern Schuller Technische Universitat Munchen, GermanyBogdan Trawinski Wroclaw University of Technology, PolandBoguslaw Cyganek AGH University of Science and Technology,

PolandCheng-Yi Wang National Taiwan University of Science and

Technology, TaiwanDariusz Barbucha Gdynia Maritime University, PolandDariusz Frejlichowski West Pomeranian University of Technology,

PolandDariusz Krol Bournemouth University, UKDongjin Choi Chosun University, KoreaDragan Simic University of Novi Sad, SerbiaEl-Houssaine Aghezzaf Ghent University, BelgiumElzbieta Kukla Wroc�law University of Technology, PolandEric Pardede La Trobe University, AustraliaFaisal Zaman Kyushu Institute of Technology, PolandFan Wang Microsoft, USAGeetam Tomar Malwa Institute of Technology and

Management, Gwalior, IndiaGia-An Hong National Taiwan University of Science and

Technology, TaiwanGordan Jezic University of Zagreb, CoatiaHae Young Lee ETRI, KoreaHalina Kwasnicka Wroclaw University of Technology, PolandHoai An Le Thi University of Lorraine, FranceHuey-Ming Lee Chinese Culture University, TaiwanHuynh Binh University of Science and Technology,

VietnamHyon Hee Kim Dongduk Women’s University, KoreaImran Ghani Universiti Teknologi Malaysia, MalaysiaIreneusz Czarnowski Gdynia Maritime University, PolandIskandar Ishak Universiti Putra Malaysia, MalaysiaJafar Razmara Universiti Teknologi Malaysia, Malaysia

Conference Organization XI

Jaroslaw Jankowski West Pomeranian University of Technologyin Szczecin, Poland

Jason Jung Yeungnam University, KoreaJerome Euzenat INRIA, FranceJesus Alcala-Fdez University of Granada, SpainJose Norbeto Mazon University of Alicante, SpainKamal Zamli Universiti Malaysia Pahang, MalaysiaKang-Hyun Jo University of Ulsan, KoreaKatarzyna Grzybowska Poznan University of Technology, PolandKazuhiro Kuwabara Ritsumeikan University, JapanKhairuddin Omar Universiti Kebangsaaan Malaysia, MalaysiaLian En Chai Universiti Teknologi Malaysia, MalaysiaManh Nguyen Duc ENSTA Bretagne, FranceMarcin Hajdul Institute of Logistics and Warehousing,

PolandMaria Bielikova University of Technology in Bratislava,

SlovakiaMd. Nazrul Islam Universiti Teknologi Malaysia, MalaysiaMicha�l Wozniak Wroclaw University of Technology, PolandMilena Ratajczak-Mrozek Poznan University of Economics, PolandMinh Le Hoai University of Lorraine, FranceMohd Helmy Abd Wahab Universiti Tun Hussein Onn Malaysia,

MalaysiaMohd Murtadha Mohamad Universiti Teknologi Malaysia, MalaysiaMohd Ramzi Mohd Hussain International Islamic University Malaysia,

MalaysiaMohd Saberi Mohamad Universiti Teknologi Malaysia, MalaysiaMoon II Chul Korean Institute Science and Technology,

KoreaMuhammad Khan King Saud University, Saudi ArabiaMuhamad Razib Othman Universiti Teknologi Malaysia, MalaysiaMohd Salihin Ngadiman Universiti Teknologi Malaysia, MalaysiaMuhammad Shuaib Karim Quaid-i-Azam University, MalaysiaMuhammad Suzuri Hitam Universiti Malaysia Terengganu, MalaysiaNghi Do Thanh Telecom-Bretagne, FranceNgoc Thanh Nguyen Wroclaw University of Technology, PolandNiels Pinkwart Clausthal University of Technology,

GermanyNojeong Heo Dongyang University, KoreaNoorfa Haszlinna Mustaffa Universiti Teknologi Malaysia, MalaysiaNor Azizah Ali Universiti Teknologi Malaysia, MalaysiaNor Haizan Mohamed Radzi Universiti Teknologi Malaysia, MalaysiaNor Hawaniah Zakaria Universiti Teknologi Malaysia, Malaysia

XII Conference Organization

Norazah Yusof Universiti Teknologi Malaysia, MalaysiaNorazman Ismail Universiti Teknologi Malaysia, MalaysiaOlgierd Unold Wroclaw University of Technology, PolandOndrej Krejcar University of Hradec Kralove,

Czech RepublicTrong Hai Duong Inha University, KoreaBernadetta Mianowska Wroclaw University of Technology, PolandMichal Sajkowski Poznan University of Technology, PolandRobert Susmaga Poznan University of Technology, Poland

Table of Contents – Part II

Tools and Applications

Detection of Noise in Digital Images by Using the Averaging FilterName COV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

Janusz Pawel Kowalski, Jakub Peksinski, and Grzegorz Mikolajczak

k -Means Clustering on Pre-calculated Distance-Based Nearest NeighborSearch for Image Search . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

Jing Yi Tou and Chun Yee Yong

A New Approach for Collaborative Filtering Based on Mining FrequentItemsets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

Phung Do, Vu Thanh Nguyen, and Tran Nam Dung

Reduction of Training Noises for Text Classifiers . . . . . . . . . . . . . . . . . . . . . 30Rey-Long Liu

Prediction of Relevance between Requests and Web Services UsingANN and LR Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40

Keyvan Mohebbi, Suhaimi Ibrahim, and Norbik Bashah Idris

A Ruled-Based Part of Speech (RPOS) Tagger for Malay TextArticles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50

Rayner Alfred, Adam Mujat, and Joe Henry Obit

Viable System Model in Capturing Iterative Features withinArchitectural Design Processes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60

Roliana Ibrahim, Khairul Anwar Mohamed Khaidzir, andFahimeh Zaeri

Identifying Same Wavelength Groups from Twitter: A Sentiment BasedApproach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70

Rafeeque Pandarachalil and Selvaraju Sendhilkumar

An Improved Evolutionary Algorithm for Extractive TextSummarization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78

Albaraa Abuobieda, Naomie Salim, Yogan Jaya Kumar, andAhmed Hamza Osman

Hybrid-Learning Based Data Gathering in Wireless Sensor Networks . . . 90Mohammad Abdur Razzaque, Ismail Fauzi, andAkhtaruzzaman Adnan

XIV Table of Contents – Part II

Intelligent Recommender Systems

Orienteering Problem Modeling for Electric Vehicle-Based Tour . . . . . . . . 100Junghoon Lee and Gyung-Leen Park

Integrating Social Information into Collaborative Filtering forCelebrities Recommendation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109

Qingwen Liu, Yan Xiong, and Wenchao Huang

A Semantically Enhanced Tag-Based Music Recommendation UsingEmotion Ontology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119

Hyon Hee Kim

A Method for Determination of an Opening Learning Scenarioin Intelligent Tutoring Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129

Adrianna Kozierkiewicz-Hetmanska and Dariusz Zysk

Recommending QA Documents for Communities of Question-AnsweringWebsites . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139

Duen-Ren Liu, Chun-Kai Huang, and Yu-Hsuan Chen

Using Subtree Agreement for Complex Tree Integration Tasks . . . . . . . . . 148Marcin Maleszka and Ngoc Thanh Nguyen

Data Sets for Offline Evaluation of Scholar’s Recommender System . . . . . 158Bahram Amini, Roliana Ibrahim, and Mohd Shahizan Othman

A Method for Collaborative Recommendation in Document RetrievalSystems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168

Bernadetta Mianowska and Ngoc Thanh Nguyen

Multiple Model Approach to Machine Learning

Combining Multiple Clusterings of Chemical Structures UsingCumulative Voting-Based Aggregation Algorithm . . . . . . . . . . . . . . . . . . . . 178

Faisal Saeed, Naomie Salim, Ammar Abdo, and Hamza Hentabli

Investigation of Incremental Support Vector Regression Applied toReal Estate Appraisal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186

Tadeusz Lasota, Petru Patrascu, Bogdan Trawinski, andZbigniew Telec

A Descriptive Method for Generating siRNA Design Rules . . . . . . . . . . . . 196Bui Thang Ngoc, Tu Bao Ho, and Kawasaki Saori

A Space-Time Trade Off for FUFP-trees Maintenance . . . . . . . . . . . . . . . . 206Bac Le, Chanh-Truc Tran, Tzung-Pei Hong, and Bay Vo

Table of Contents – Part II XV

Adaptive Splitting and Selection Method for Noninvasive Recognitionof Liver Fibrosis Stage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215

Bartosz Krawczyk, Micha�l Wozniak, Tomasz Orczyk, andPiotr Porwik

Investigation of Mixture of Experts Applied to Residential PremisesValuation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225

Tadeusz Lasota, Bartosz Londzin, Bogdan Trawinski, andZbigniew Telec

Competence Region Modelling in Relational Classification . . . . . . . . . . . . . 236Tomasz Kajdanowicz, Tomasz Filipowski,Przemys�law Kazienko, and Piotr Brodka

Engineering Knowledge and Semantic Systems

Approach to Practical Ontology Design for Supporting COTSComponent Selection Processes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245

Agnieszka Konys, Jaros�law W ↪atrobski, and Przemys�law Rozewski

Planning of Relocation Staff Operations in Electric Vehicle SharingSystems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256

Junghoon Lee and Gyung-Leen Park

Thematic Analysis by Discovering Diffusion Patterns in Social Media:An Exploratory Study with TweetScope . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266

Duc Nguyen Trung, Jason J. Jung, Namhee Lee, and Jinhwa Kim

A Practical Method for Compatibility Evaluation of Portable DocumentFormats . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275

Dariusz Krol and Micha�l �Lopatka

Sentiment Analysis for Tracking Breaking Events: A Case Study onTwitter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285

Dongjin Choi and Pankoo Kim

Computational Biology and Bioinformatics

Classification of Plantar Dermatoglyphic Patterns for the Diagnosis ofDown’s Syndrome . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295

Hubert Wojtowicz and Wieslaw Wajs

Adaptive Cumulative Voting-Based Aggregation Algorithm forCombining Multiple Clusterings of Chemical Structures . . . . . . . . . . . . . . . 305

Faisal Saeed, Naomie Salim, Ammar Abdo, and Hamza Hentabli

LINGO-DOSM: LINGO for Descriptors of Outline Shapeof Molecules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315

Hamza Hentabli, Naomie Salim, Ammar Abdo, and Faisal Saeed

XVI Table of Contents – Part II

Prediction of Mouse Senescence from HE-Stain Liver Images Using anEnsemble SVM Classifier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325

Hui-Ling Huang, Ming-Hsin Hsu, Hua-Chin Lee,Phasit Charoenkwan, Shinn-Jang Ho, and Shinn-Ying Ho

Computational Intelligence

An Introduction to Yoyo Blind Man Algorithm (YOYO-BMA) . . . . . . . . . 335Mohammad Amin Soltani-Sarvestani and Shahriar Lotfi

A New Method for Job Scheduling in Two-Levels HierarchicalSystems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345

Amin Shokripour, Mohamed Othman, Hamidah Ibrahim, andShamala Subramaniam

Intelligent Water Drops Algorithm for Rough Set Feature Selection . . . . . 356Basem O. Alijla, Lim Chee Peng, Ahamad Tajudin Khader, andMohammed Azmi Al-Betar

Information-Based Scale Saliency Methods with Wavelet Sub-bandEnergy Density Descriptors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366

Anh Cat Le Ngo, Li-Minn Ang, Guoping Qiu, and Kah Phooi Seng

Feature Subset Selection Using Binary Gravitational Search Algorithmfor Intrusion Detection System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 377

Amir Rajabi Behjat, Aida Mustapha, Hossein Nezamabadi – pour,Md. Nasir Sulaiman, and Norwati Mustapha

Modelling and Optimization Techniques inInformation Systems, Database Systems andIndustrial Systems

Sparse Signal Recovery by Difference of Convex FunctionsAlgorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387

Hoai An Le Thi, Bich Thuy Nguyen Thi, and Hoai Minh Le

DC Programming and DCA Based Cross-Layer Optimization inMulti-hop TDMA Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 398

Hoai An Le Thi, Quang Thuan Nguyen, Khoa Tran Phan, andTao Pham Dinh

The Multi-flow Necessary Condition for Membership in the PedigreePolytope Is Not Sufficient- A Counterexample . . . . . . . . . . . . . . . . . . . . . . . 409

Laleh Haerian Ardekani and Tiru S. Arthanari

Table of Contents – Part II XVII

A Linear Integer Program to Reduce Air Traffic Delay in EnrouteAirspace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 420

Ihsen Farah, Adnan Yassine, and Thierry Galinho

Intelligent Supply Chains

Modeling the Structure of Recommending Interfaces with AdjustableInfluence on Users . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429

Jaroslaw Jankowski

Increasing Website Conversions Using Content Repetitions withDifferent Levels of Persuasion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439

Jaroslaw Jankowski

Virtual Collaboration in the Supply Chains – T-Scale Platform CaseStudy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 449

Marcin Hajdul

Cooperation between Logistics Service Providers Based on CloudComputing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 458

Arkadiusz Kawa and Milena Ratajczak-Mrozek

Applied Data Mining for Semantic Web

Discovering Missing Links in Large-Scale Linked Data . . . . . . . . . . . . . . . . 468Nam Hau, Ryutaro Ichise, and Bac Le

Effective Hotspot Removal System Using Neural Network Predictor . . . . 478Sangyoon Oh, Mun-Young Kang, and Sanggil Kang

A Case Study on Trust-Based Automated Blog RecommendationMaking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 489

Nurul Akhmal Mohd Zulkefli, Hai Trong Duong, andBaharum Baharudin

Semantic Web and Ontology

Consensus for Collaborative Ontology-Based Vietnamese WordNetBuilding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 499

Tuong Le, Trong Hai Duong, Bay Vo, and Sanggil Kang

An Ontological Context-Aware Approach for a Dynamic BusinessProcess Formulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 509

Hanh Huu Hoang

XVIII Table of Contents – Part II

Integration of Information systems

SMAC - Dataflow and Storage Modeling for Remote PersonnelIdentification in Restricted Areas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 519

Piotr Czekalski and Krzysztof Tokarz

Infrastructure vs. Access Competition in NGNs . . . . . . . . . . . . . . . . . . . . . . 529Joao Paulo Ribeiro Pereira

Conceptual Modeling in Advanced Database Systems

Modeling and Verifying DML Triggers Using Event-B . . . . . . . . . . . . . . . . . 539Hong Anh Le and Ninh Thuan Truong

A Conceptual Multi-agent Framework Using Ant Colony Optimizationand Fuzzy Algorithms for Learning Style Detection . . . . . . . . . . . . . . . . . . . 549

Ghusoon Salim Basheer, Mohd Sharifuddin Ahmad, andAlicia Y.C. Tang

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 559

Table of Contents – Part I

Innovations in Intelligent Computation andApplications -1

Intelligent Moving Objects Detection via Adaptive Frame DifferencingMethod . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

Chun-Ming Tsai and Zong-Mu Yeh

Global Artificial Bee Colony Algorithm for Boolean FunctionClassification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

Habib Shah, Rozaida Ghazali, and Nazri Mohd Nawi

Fuzzy Decision Making Based on Hesitant Fuzzy Linguistic TermSets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

Li-Wei Lee and Shyi-Ming Chen

Time-Varying Mutation in Particle Swarm Optimization . . . . . . . . . . . . . . 31S. Masrom, Siti. Z.Z. Abidin, N. Omar, and K. Nasir

Extending and Formalizing Bayesian Networks by Strong RelevantLogic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41

Jianzhe Zhao, Ying Liu, and Jingde Cheng

Mining Multidimensional Frequent Patterns from RelationalDatabase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51

Yue-Shi Lee and Show-Jane Yen

A Hybrid Cloud for Effective Retrieval from Public Cloud Services . . . . . 61Yi-Hsing Chang and Jheng-Yu Chen

Innovations in Intelligent Computation andApplications -2

A New Method for Generating the Chinese News Summary Based onFuzzy Reasoning and Domain Ontology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70

Shyi-Ming Chen and Ming-Hung Huang

Hybrid PSO and GA for Neural Network Evolutionary in MonthlyRainfall Forecasting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79

Linli Jiang and Jiansheng Wu

Forecasting the TAIEX Based on Fuzzy Time Series, PSO Techniquesand Support Vector Machines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89

Shyi-Ming Chen and Pei-Yuan Kao

XX Table of Contents – Part I

On the Design of Neighboring Fuzzy Median Filter for Removal ofImpulse Noises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99

Chung-Ming Own and Chi-Shu Huang

An Elastic Net Clustering Algorithm for Non-linearly Separable Data . . . 108Chun-Wei Tsai, Chien-Hung Tung, and Ming-Chao Chiang

Anticipatory Emergency Elevator Evacuation Systems . . . . . . . . . . . . . . . . 117Kai Shi, Yuichi Goto, Zhiliang Zhu, and Jingde Cheng

A Stock Selective System by Using Hybrid Models of Classification . . . . . 127Shou-Hsiung Cheng

Intelligent Database Systems -1

An Efficient Method for Discovering Motifs in Large Time Series . . . . . . . 135Cao Duy Truong and Duong Tuan Anh

CFTL – Flash Translation Layer for Column Oriented Databases . . . . . . 146Krzysztof Kwiatkowski and Wojciech Macyna

Parallelizing the Improved Algorithm for Frequent Patterns MiningProblem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156

Thanh-Trung Nguyen, Bach-Hien Nguyen, and Phi-Khu Nguyen

Dimensionality Reduction in Data Summarization Approach toLearning Relational Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166

Chung Seng Kheau, Rayner Alfred, and Lau Hui Keng

Generating Relevant and Diverse Query Suggestions Using SparseManifold Ranking with Sink Regions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176

Van Thanh Nguyen and Kim Anh Nguyen

Measuring Data Completeness for Microbial Genomics Database . . . . . . . 186Nurul A. Emran, Suzanne Embury, Paolo Missier,Mohd Noor Mat Isa, and Azah Kamilah Muda

Intelligent Database Systems -2

Road Traffic Prediction Using Context-Aware Random Forest Based onVolatility Nature of Traffic Flows . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196

Narjes Zarei, Mohammad Ali Ghayour, and Sattar Hashemi

Scoring-Thresholding Pattern Based Text Classifier . . . . . . . . . . . . . . . . . . . 206Moch Arif Bijaksana, Yuefeng Li, and Abdulmohsen Algarni

Table of Contents – Part I XXI

Reference Architectures to Measure Data Completeness acrossIntegrated Databases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216

Nurul A. Emran, Suzanne Embury, Paolo Missier, andNorashikin Ahmad

Vietnamese Author Name Disambiguation for Integrating Publicationsfrom Heterogeneous Sources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226

Tin Huynh, Kiem Hoang, Tien Do, and Duc Huynh

Retrieval with Semantic Sieve . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236Julian Szymanski, Henryk Krawczyk, and Marcin Deptu�la

GAB-EPA: A GA Based Ensemble Pruning Approach to TackleMulticlass Imbalanced Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246

Lida Abdi and Sattar Hashemi

Intelligent Information Systems -1

Performance of Different Techniques Applied in Genetic Algorithmtowards Benchmark Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255

Seng Poh Lim and Habibollah Haron

A Runge-Kutta Method with Lower Function Evaluations for SolvingHybrid Fuzzy Differential Equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265

Ali Ahmadian, Mohamed Suleiman, Fudziah Ismail,Soheil Salahshour, and Ferial Ghaemi

A Hybrid PSO-FSVM Model and Its Application to ImbalancedClassification of Mammograms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275

Hussein Samma, Chee Peng Lim, and Umi Kalthum Ngah

QTCP: An Approach for Exploring Inter and Intra ProtocolsFairness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285

Barkatullah Qureshi, Mohamed Othman,Shamala K. Subramaniam, and Nor Asila Wati

Analyzing Hemagglutinin Genes of Human H5N1 Virus by LinearNeighborhood Embedding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295

Wei-Chen Cheng

The VHO Project: A Semantic Solution for Vietnamese History SearchSystem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304

Dang-Hung Phan and Tuan-Dung Cao

Spam E-Mail Classification Based on the IFWB Algorithm . . . . . . . . . . . . 314Chichang Jou

XXII Table of Contents – Part I

Meta Search Models for Online Forum Thread Retrieval: Research inProgress . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325

Ameer Tawfik Albaham and Naomie Salim

Ensemble of Diversely Trained Support Vector Machines for ProteinFold Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335

Abdollah Dehzangi and Abdul Sattar

Intelligent Information Systems -2

Protein Fold Recognition Using Segmentation-Based Feature ExtractionModel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345

Abdollah Dehzangi and Abdul Sattar

Realtime Pointing Gesture Recognition and Applications in Multi-userInteraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355

Hoang-An Le, Khoi-Nguyen C. Mac, Truong-An Pham, andMinh-Triet Tran

Multi-domain Public Key Infrastructure for Information Security withUse of a Multi-Agent System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365

Nilar Aye, Hlaing Su Khin, Toe Toe Win, Tayzar KoKo,MoMo Zin Than, Fumio Hattori, and Kazuhiro Kuwabara

Using Bees Hill Flux Balance Analysis (BHFBA) for in silico MicrobialStrain Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375

Yee Wen Choon, Mohd Saberi Bin Mohamad, Safaai Deris,Rosli Md. Illias, Lian En Chai, and Chuii Khim Chong

Multiple Gene Sets for Cancer Classification Using Gene RangeSelection Based on Random Forest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385

Kohbalan Moorthy, Mohd Saberi Bin Mohamad, and Safaai Deris

Ubiquitous Positioning: Integrated GPS/Wireless LAN Positioning forWheelchair Navigation System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 394

Wan Mohd Yaakob Wan Bejuri,Wan Mohd Nasri Wan Muhamad Saidin,Mohd Murtadha Bin Mohamad, Maimunah Sapri, andKah Seng Lim

Correctness of Solving Query-Answering Problems Using SatisfiabilitySolvers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404

Kiyoshi Akama and Ekawit Nantajeewarawat

Identifying Minimal Genomes and Essential Genes in Metabolic ModelUsing Flux Balance Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 414

Abdul Hakim Mohamed Salleh, Mohd Saberi Mohamad,Safaai Deris, and Rosli Md. Illias

Table of Contents – Part I XXIII

A New Data Hiding Scheme for Small Blocks of Twelve Pixels onBinary Images by Module Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424

Phan Trung Huy, Nguyen Hai Thanh, Le Quang Hoa, andDo Van Tuan

Intelligent Information Systems -3

Runtime Verification of Multi-agent Systems Interaction Quality . . . . . . . 435Najwa Abu Bakar and Ali Selamat

Bounds on Lengths of Real Valued Vectors Similar with Regard to theTanimoto Similarity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445

Marzena Kryszkiewicz

A Quadratic Algorithm for Testing of Z -Codes . . . . . . . . . . . . . . . . . . . . . . 455Nguyen Dinh Han, Dang Quyet Thang, and Phan Trung Huy

Designing an Intelligent Problems Solving System Based on Knowledgeabout Sample Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 465

Nhon V. Do, Hien D. Nguyen, and Thanh T. Mai

Semantic Representation and Search Techniques for DocumentRetrieval Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476

VanNhon Do, ThanhThuong T. Huynh, and TruongAn PhamNguyen

Opposition Differential Evolution Based Method for TextSummarization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 487

Albaraa Abuobieda, Naomie Salim, Yogan Jaya Kumar, andAhmed Hamza Osman

An Introduction to Ontology Based Structured Knowledge BaseSystem: Knowledge Acquisition Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 497

Marek Krotkiewicz and Krystian Wojtkiewicz

Comparison of Gene Co-expression Networks and Bayesian Networks . . . 507Saurabh Nagrecha, Pawan J. Lingras, and Nitesh V. Chawla

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517