Special Sessions

5th International Conference on Computers Communications and Control, ICCCC2014

Hotel President, Băile Felix, Oradea, România, May 7-9, 2014

Organized by Agora University of Oradea,

under the aegis of Romanian Academy: - Information Science and Technology Section

Special Sessions

Special Session 1:

Decision Support Systems for Supply Chain Management and their dynamics. New proposals and directions

Organizer and Chair: Angel Ortiz, University Politécnica Valencia, Spain

Address: Eng. Angel Ortiz, Ph.D., Professor

Centro de Investigación de Gestión e Ingeniería de la Producción

Universidad Politécnica de Valencia

Camino de Vera s/n, Edificio 8B - Acceso L Nivel 2

(Ciudad Politécnica de la Innovación)

46022 Valencia – España


E-mail: aortiz@cigip.upv.es

Brief Bio Sketch: Angel Ortiz is a professor at the Universitat Politècnica de València (UPV), Spain. He is an industrial engineer and Ph.D. in Industrial Engineering from UPV. He are developing research and enterprises activities in Supply Chain Management, Business Process Management and Information Technologies. He has authored more than 20 papers in journals as Computers in Industry, IJCIM, IJPE, Omega and others. He has participated also in several European Projects of V-CHAIN Project (Virtual Enterprise for Supply Chain Management-GRD1-2000-25881) and University leader of ECOSELL (Extended Collaborative Selling Chain- GRD1-2001-40692), UEML (Unified Enterprise Modelling Language- IST - 2001 - 34229, a Thematic Network) and V-CHAIN ASIA-IT (ASI/B7-301/97/0126-49). Prof. Angel Ortiz has developed projects about SCM, BPM, IT and Enterprise Engineering in several enterprises from different sectors (automotive, tiles, furniture, beverages, food, packaging, textile, etc.). I am a member of the IFAC TC5.3 “Enterprise Integration and Networking” and IFIP TC5 WG 5.12 “Architectures for Enterprise Integration”. He has participated in several Masters in Spain and courses in others countries like France, Mexico and Sweden.

Session Scope

The goal of this workshop is to deal with new proposals in the decision support system (DSS) field related with the integration of the decision-making process concerning Supply Chain Management (SCM) with special focus on demand management and operations planning in a dynamic and distributed environment.

DSS is a computer-based information system, which assists manager in their decision-making process. New requirements needs new DSS proposals to include improvements on the data management, decision models, interaction among systems and people in global decision process.

Special focus will be made over complex decisions where:

1) the DSS proposes different solutions using different decision models or

2) the DSS include a sequential decision process where sub-DSS outputs are inputs for other sub-DSS

Session Topics

Decision Support System is a multidisciplinary research area that can be applied in several sectors.

This special session will be focused to new proposals in the DSS field dealing with:

T.1.1. The main components in DSS

  • Data: Models, Aggregation/Disaggregation, ETL , Data-Driven DSS
  • Decision Models: Mathematical Programming, Solvers, Rules, Expert Systems
  • Processes: Decision sequence, Interaction steps
  • User Interfaces: Interface design, Novel interaction techniques, usability

T.1.2. Complex decisions solved using different models and sequential DSS where DSS outputs are inputs for other DSS

T.1.3. Application in Supply Chain Management using a period-driven or an event-driven approach

T.1.4. DSS Experiences in the industry

T.1.5. DSS in Education



Special Session 2

Network Optimization and Security

Organizer and Chair: Yezyd Donoso, University de los Andes, Colombia

Address: Eng. Yezid Donoso, Ph.D., Associate Professor

Head of the Information Security Postgraduate and Master Program

Systems and Computing Engineering Department

Universidad de los Andes

Cra. 1 Este No. 19A-40

Phone 57-1-3394949 Ext 1723

Bogotá, Colombia, South America

E-mail: ydonoso@uniandes.edu.co

Brief Bio-Sketch: Eng. Yezid Donoso, Ph.D. is an Associate Professor at the Universidad de los Andes in the Computing and System Engineering Department in Bogota, Colombia, South America. He is a consultant in computer network and optimization. He holds a degree in System and Computer Engineering, a M.Sc. degree in System and Computer Engineering, a D.E.A. in Information Technology and a Ph.D. (Cum Laude) in Information Technology from Girona University, Girona, Spain. IEEE Senior Member. Distinguished Professor, given by Universidad del Norte, Colombia, October 2004. National Award of Operations research given by the Colombian Society of Operations Research, 2004. He is co-author of the book Multi-Objective Optimization in Computer Networks Using Metaheuristics (2007) and Network Design for IP Convergence.

Session Scope

The convergence in communication networks and computing has led the exponential growth of new applications and information systems. Nowadays, users and applications generate and request more data demanding efficient and secure management. New algorithms are needed to manage the network resource allocation improving the network performance, response against failures, congestion and attacks; and to avoid loss of confidentiality, integrity or availability in the network.

Session Topics

T.2.1. Network Optimization

  • Advanced Network Architecture
  • Computational complexity and data structures
  • Distributed Algorithms for control and management in Communication Systems
  • Energy Efficiency in Wireless Networks
  • Mobility, Handoff, and Location Management
  • Network Algorithm analysis
  • Network Structure, Routing and Resource Management
  • Networks Survivability against Failures, Congestion and Attacks
  • Network Planning
  • Quality of Service / Quality of Experience Optimization
  • Software Define Network
  • Scheduling and Network Optimization
  • Self-Organizing Networks
  • Reliable Networks
  • Special Topics in Network Optimization

T.2.2. Security

  • Intrusion
  • Detection and Prevention Systems
  • Network Authentication and Key Management
  • Network Reliability
  • Privacy and Anonymity
  • Secure Networking
  • Secure Network Protocols
  • Security for Cloud Networking
  • Security for Internet Applications
  • Security for Wireless Sensor networks
  • Security for Smart Grids
  • Security for Vehicular Networks
  • Security for Critical Infrastructures
  • Special Topics in Security



Special Session 3:

Data Mining and Intelligent Knowledge Management

Co- Organizer and Co- Chair : Gang Kou, Southwestern University of Finance and Economics, Chengdu, China


Gang Kou, Ph.D., Professor,

Dean of School of Business Administration,

Southwestern University of Finance and Economics,

Chengdu, 611130, China

Brief Bio Sketch:

Dr. Gang Kou is a Professor and Executive Dean of school of business administration, Southwestern University of Finance and Economics, managing editor of International Journal of Information Technology & Decision Making (SCI-indexed) and editor-in-chief of Springer book series on Quantitative Management. Previously, he was a professor of School of Management and Economics, University of Electronic Science and Technology of China, and a research scientist in Thomson Co., R&D. He received his Ph.D. in Information Technology from the College of Information Science & Technology, Univ. of Nebraska at Omaha; got his Master degree in Dept of Computer Science, Univ. of Nebraska at Omaha; and B.S. degree in Department of Physics, Tsinghua University, Beijing, China. He has participated in various data mining projects, including data mining for software engineering, network intrusion detection, health insurance fraud detection and credit card portfolio analysis. He has published more than eighty papers in various peer-reviewed journals and conferences. Gang Kou has been Keynote speaker/workshop chair in several international conferences. He co-chaired Data Mining contest on The Seventh IEEE International Conference on Data Mining 2007 and he is the Program Committee Co-Chair of the 20th International Conference on Multiple Criteria Decision Making (2009) and NCM 2009: 5th International Joint Conference on INC, ICM and IDC. He is also co-editor of special issues of several journals, such as Annals of Operations Research, Journal of Multi Criteria Decision Analysis, Decision Support Systems, Journal of Supercomputing and Information Sciences.

Co- Organizer and Co- Chair: Prof. Yi Peng, PhD

University of Electronic Science and Technology of China

Professor, School of Management and Economics

University of Electronic Science and Technology of China

Chengdu 610054, China

Brief Bio Sketch: Dr. Yi Peng is a Professor of School of Management and Economics, University of Electronic Science and Technology of China. Previously, she worked as Senior Analyst for West Co., USA. Dr. Peng received her Ph.D. in Information Technology from the College of Information Science & Technology, Univ. of Nebraska at Omaha and got her Master degree in Dept of Info. Science & Quality Assurance, Univ. of Nebraska at Omaha and B.S. degree in Department of Management Information Systems, Sichuan University, China. Dr. Peng's research interests cover Knowledge Discover in Database and data mining, multi-criteria decision making, data mining methods and modeling, knowledge discovery in real-life applications. She published more than sixty papers in various peer-reviewed journals and conferences. She is the Workshop Chair of the 20th International Conference on Multiple Criteria Decision Making (2009), guest editor of Annals of Operations Research's special issue on Multiple Criteria Decision Making on Operations Research.

Session Scope :

Data mining (DM) and knowledge management (KM) are two important research areas, but with different emphasis. Research and practice in these two areas have been largely conducted in parallel. Although both data mining and knowledge management have been active areas in research and practice, there is still a lack of idea exchange between these two camps. The first goal of this workshop is to bridge this gap. It has been well-known that data mining algorithms can discover hidden patterns from large-scale databases. However, the results of data mining may not be regarded as “knowledge”. To elicit explicit knowledge from the hidden patterns of data mining, which is useful to the end-users, the theory of human knowledge management should be adopted. Such a "special" knowledge, different from traditional knowledge since it can be stored, transformed, disseminated and expanded, is called intelligent knowledge. The second goal of this workshop is to discuss the research issues beyond data mining, foundation of intelligent knowledge management, and the process of identifying intelligent knowledge.

Session Topics

The workshop welcomes both high-quality academic (theoretical or empirical) and practical papers in the broad ranges of data mining and intelligent knowledge management related topics including, but not limited to the following:

  • Data mining interpretation
  • Data mining and knowledge transfer
  • Data analysis and knowledge management
  • Data mining and risk management
  • Data warehousing in knowledge management
  • Evaluations of hidden patterns
  • Optimization based data mining for knowledge management
  • Practical issues of data mining
  • Integration of data mining and knowledge management
  • Intelligent knowledge algorithms
  • Man-machine interaction in data mining
  • Intelligent knowledge management