ICAISC 2013 Special Sessions and Workshops


Title Organizer
Special Session 1: Soft Computing Techniques for Biometric Technologies

Prem Sewak Sudhish
Dayalbagh Educational Institute, India
sudhish@ieee.org

Special Session 2: Fuzzy Calculus and Its Applications

Witold KOSIŃSKI, Professor and Chair of Intelligent System, the Polish-Japanese Institute of Information Technology, Poland
wkos@pjwstk.edu.pl

Special Session 3: BIOIKDD: Biologically Inspired Knowledge Discovery

Abdelghani Bellaachia, George Washington University, USA
bell@gwu.edu
Xiaohui Cui, Oak Ridge National Laboratory of Department of Energy, USA
xcui@nyit.edu
Anasse Bari, George Washington University, USA
bari@gwmail.gwu.edu

Special Session 4: Systems and Technologies for Achieving Technology and Business Intelligence

Hanmin Jung, Korea Institute of Science and Technology Information, Korea
jhm@kisti.re.kr

Special Session 5: Mining for Social Network

Danish Irfan, COMSATS Institute of Information Technology, Pakistan
irf.hit@gmail.com



ICAISC 2013 Special Sessions Descriptions


Soft Computing Techniques for Biometric Technologies


Prem Sewak Sudhish

Application of automated biometric technologies for human identification using anatomical or behavioral characteristics has multiplied manifold over the past decade, especially in large scale applications, both for security and social welfare initiatives. Soft computing is naturally amenable to biometric recognition for a variety of reasons. The feature extraction and the matching (classification) of biometrics is generally complex and non-linear that may be modeled better by soft computing rather than traditional models. While permanence is a required characteristic for biometrics, it is well known that biometric characteristics change with time and soft computing techniques provide the capability to model and be adaptive to these changes.

Biometric recognition is considered to be a human capability and soft computing techniques and generally inspired by and imitate biological function. Soft computing techniques are robust in situations commonly encountered in biometric recognition where traditional techniques fail – noisy, occluded, misaligned or deformed biometric data, leading to a high intra-class and a low inter-class variability.

Papers containing original and unpublished research are invited for the Special Session on Soft Computing Techniques for Biometric Technologies. The topics of interest, among others, include application of soft computing techniques for biometric sample quality estimation, sample enhancement, segmentation, ageing modelling, feature extraction, dimensionality reduction, biometric matching, multi-classifier or multi-biometric fusion, etc.

Paper submission
Manuscripts should be prepared according to the instructions on the “Submissions” tab of the conference website http://icaisc.eu/ and must be submitted through the Paper Submission System on the site.
Please choose "Special session" and the name of the session on the online submission system.

Important Dates
Submission of Papers in accordance with Springer guidelines: December 20, 2012
Notification of acceptance: January 03, 2013
Submission of camera-ready papers: January 22, 2013

Call for papers (pdf) for Soft Computing Techniques for Biometric Technologies Special Session


Fuzzy calculus and its applications


Witold KOSIŃSKI

Objective and motivation of the session:

Since 4 decades the development of mathematical aspects of the fuzzy set theory has been mostly directed to convex fuzzy numbers and its particular case - the L-R numbers. However, the interest in the application of fuzzy calculus is diminishing with each year because of the known drawbacks, eg. classical and simple algebraic fuzzy equation with one unknown variable may not possess any solution, multiple operations on convex fuzzy numbers are leading to a large growth of the fuzziness, and depend on the order of the operations due to the lack of the distributive law. Hence new approaches could be required as well as more general definitions. It was already pointed out by D. Dubois in 2004 that the classical definition of a fuzzy number needs to be redefined. Hence the gradual element in fuzzy theory has recently appeared additional to ordered fuzzy numbers. The aim of this special session is bringing together researchers in fuzzy calculus and its applications, and to provide directions for further research it these fields. The philosophy of the special session should be to keep a chance for informal critical discussion.

Topis of interest:
1. Drawbacks of the convex fuzzy numbers calculus
2. New proposals in the fuzzy number calculus
3. Applications of fuzzy calculus in the social live, finance and technology


Contact information for the proposed session chair:
Witold KOSIŃSKI, Professor and Chair of Intelligent System,
the Polish-Japanese Institute of Information Technology, Koszykowa Str. 86, PL-02-008 Warszawa, Poland
e-mail: wkos@pjwstk.edu.pl

List of potential reviewers panel, including affiliations and contact information: Prof. Dr. Eng. Witold Pedrycz, University of Alberta, Edmonton, Canada, wpedrycz@ualberta.ca
Prof. Dr. Eng. Janusz Kacprzyk, System Research Institute of the PAS, Janusz.Kacprzyk@ibspan.waw.pl
Dr. Eng. Jacek Czerniak, Kazimierz-Wielki University, Bydgoszcz, Poland, jczerniak@ukw.edu.pl
Dr. Magdalena Kacprzak, PJIIT, Warszawa, kacprzak@pjwstk.edu.pl
Dr. Dariusz Kacprzak, Białystok University of Technology, dkacprzak@interia.pl
Dr. Eng. Piotr Prokopowicz, Kazimierz-Wielki University, Bydgoszcz, piotrekp@ukw.edu.pl
Prof. Dr. Kurt Frischmuth, Rostock University, Germany, kurt.frishmuth@uni-rostock.de,
Prof. Dr. Eng. Halina Kwaśnicka, Wrocław University of Technology, Halina.Kwasnicka@pwr.wroc.pl
Prof. Dr. Przemysław Grzegorzewski, System Research Institute of the PAS, pgrzeg@ibspan.waw.pl
Prof. Dr. Rudolf Seising, European Centre for Soft Computing, Asturias, Spain, rudolf.seising@softcomputing.es
Prof. Dr. Eng. Jacek Łęski, Silesian University of Technology, jacek.leski@polsl.pl
Dr. Bartek Strosta, PJIIT, Warszawa, barstar@pjwstk.edu.pl,
Prof. Dr. Sławomir Zadrożny, System Research Institute of the PAS, Slawomir.Zadrozny@ibspan.waw.pl


BIOIKDD: Biologically Inspired Knowledge Discovery


Abdelghani Bellaachia, Xiaohui Cui

Objective and motivation of the session

Biologically inspired knowledge discovery techniques have recently received significant attention. It is one of the most important tools for complex systems and problems evaluation. They have been used in several research areas such as collaborative filtering, clustering, classification, and other areas of data mining. These techniques are depicted in nature of swarms of birds, fish, ants, and other land animals. In recent years, we observed there is a huge increase in the number of papers published in such area. The aim of the workshop is to highlight the current research related to biologically inspired knowledge discovery techniques in different data mining domains and their applications not limited to Social Networks Analysis, Text Mining, and Bioinformatics.

Topics of interest

The workshop will provide a platform to the researcher from computational intelligence and evolutionary computation and other biologically inspired techniques to get feedback on their current research. This platform will encourage exploring the new paths towards the futures of Knowledge Discovery. It will bring together top researchers and students from around the world to discuss the latest advances in the field of bio inspired KDD and its application to real world problems. This workshop will be devoted to computing technologies for KDD inspired from nature. We will focus on the theory and applications of KDD. We welcome contributions in, but not limited to, the following areas:
• New bio inspired KDD algorithms
• Evolutionary Algorithms for optimization
• Data mining using biologically inspired algorithms: Ant Colonies, Immune Systems, Artificial Life, Cultural Algorithms, etc…
• Infrastructures for supporting Bio-inspired Algorithms.
• Heterogeneous Computing Platforms for Bio-inspired Algorithms.
• Improvement on scheduling techniques by means of Bio-inspired Algorithms.
• Fault tolerant implementations
• Models and implementations
• Swarm intelligence • Emergent behavior
• Complex system and other emerging techniques

The workshop’s objective is to cover the broad area of bio-inspired algorithms, and help researchers get great feedback on their work. The Bio-inspired knowledge discovery workshop’s goal is to shed the light on the current biologically inspired research. The gathering of researchers on the area will be a great opportunity to advance in research and learn.

Tentative sessions:

Session I: Bio-inspired Techniques for Understanding large Scale Social Networks
Session II: Bio-inspired Techniques for Text Mining
Session III: A Bio-inspired Approach for Bioinformatics


Call for papers (pdf) for BIOIKDD: Biologically Inspired Knowledge Discovery


Systems and Technologies for Achieving Technology and Business Intelligence


Hanmin Jung

Workshop Motivation

In the light of the recent wave of Big Data and its Analytics, the Semantic Web-based Technology Intelligence as well as Business Intelligence is quite interesting and beneficial to the researchers as well as the practitioners from engineering to business. In addition, this session fits the theme of the conference since it deals with one of the advanced technologies for achieving Technology/Business Intelligence via Machine Learning, Artificial Intelligence, Text Mining, Semantic Web, etc. By bringing together representatives of academia and industry, the session will be also a means for identifying new research problems and disseminating results of the research and practice.

Workshop Description

Technology/Business Intelligence is to support better performance of user’s tasks such as decision making, project management, and R&D planning, by means of discovering and predicting technical opportunities and technology trends using various technologies such as Artificial Intelligence, Text Mining, Semantic Web, etc. However, the analysis and prediction of R&D or business trends from various kinds of Big Data sources such as Web documents, papers and patents could furnish corporation’s executives or project managers with informative & predictive support for decision making on marketing, sales and product direction. As core technologies for Technology and Business Intelligence, Artificial Intelligence, Text Mining, Semantic Web, and so on have been studied and proven to be effective for decades. So, in this session, we are going to cover all aspects that relate to research and practical issues of Technology/Business Intelligence.

Topics of interest for the workshop will include but will not be limited to:

- Technology Intelligence
- Business Intelligence
- Artificial Intelligence
- Knowledge Acquisition
- Knowledge Engineering
- Natural Language Processing
- Text Mining
- Data Mining
- Bioinformatics and computational biology
- Services and Systems
- Visualization
- Web Intelligence
- Big Data Management
- Big Data Analytics
- Expert Systems


Mining for Social Network


Danish Irfan

Workshop Motivation

An intelligent methodology to present the connected mesh or lattice elements and connections in this world of information, people, place or occasions is their analysis as networks. The objective of the session is to provide an interdisciplinary site for researchers and academicians from CS, Informatics, Social Sciences and Management Sciences to share ideas and opinions, and present original research work on studying the interplay between socially-centric platforms and social phenomena. The event program will reveal the theme in keynote talk/s, paper sessions to concentrate on emerging topics to attract interdisciplinary research attention in the field of social networks and their analysis.

Workshop Description

Technology/Business Intelligence is to support better performance of user’s tasks such as decision making, project management, and R&D planning, by means of discovering and predicting technical opportunities and technology trends using various technologies such as Artificial Intelligence, Text Mining, Semantic Web, etc. However, the analysis and prediction of R&D or business trends from various kinds of Big Data sources such as Web documents, papers and patents could furnish corporation’s executives or project managers with informative & predictive support for decision making on marketing, sales and product direction. As core technologies for Technology and Business Intelligence, Artificial Intelligence, Text Mining, Semantic Web, and so on have been studied and proven to be effective for decades. So, in this session, we are going to cover all aspects that relate to research and practical issues of Technology/Business Intelligence.

Topics of interest

Mining academic social networks and practices
Mining social recommendation systems
Mining social graph patterns
Mining social collaborative patterns
Mining social data streams
Mining trusted networks
Mining high-ranking members in social networks
Mining by hybrid K-means clustering approaches for social networks
Mining Links in socially connected components
Mining dynamic Interaction in social networks and dependencies
Mining large-scale social data
Mining online rating data and its security issues
Mining feature-based topic sensitive social networks
Mining social networking sites (SNS) data and its applications
Knowledge discovery in social networks
Social network security
Mobile social networks
Social wireless networks
Malware analysis in social networks
Anomaly detection in social network data
Mining social networks – Challenges
Applications of market research in social networks


Call for papers (pdf) for Mining for Social Network