SCOPE

Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets. A major aspect of Knowledge Discovery is data mining, i.e. applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data. Knowledge Discovery also includes the evaluation of patterns and identification of which add to knowledge. This has proven to be a promising approach for enhancing the intelligence of software systems and services. The ongoing rapid growth of online data due to the Internet and the widespread use of large databases have created an important need for knowledge discovery methodologies. The challenge of extracting knowledge from data draws upon research in a large number of disciplines including statistics, databases, pattern recognition, machine learning, data visualization, optimization, and high-performance computing, to deliver advanced business intelligence and web discovery solutions.
Information retrieval (IR) is concerned with gathering relevant information from unstructured and semantically fuzzy data in texts and other media, searching for information within documents and for metadata about documents, as well as searching relational databases and the Web. Automation of information retrieval enables the reduction of what has been called "information overload".
Information retrieval can be combined with knowledge discovery to create software tools that empower users of decision support systems to better understand and use the knowledge underlying large data sets.
The primary focus of KDIR is to provide a major forum for the scientific and technical advancement of knowledge discovery and information retrieval.

CONFERENCE TOPICS

- Information extraction
- Machine learning
- Foundations of knowledge discovery in databases
- Data analytics
- Data mining in electronic commerce
- Interactive and online data mining
- Process mining
- Integration of data warehousing and data mining
- Data reduction and quality assessment
- Mining high-dimensional data
- Mining text and semi-structured data
- Mining multimedia data
- Structured data analysis and statistical methods
- BioInformatics & pattern discovery
- Clustering and classification methods
- Pre-processing and post-processing for data mining
- Visual data mining and data visualization
- High performance implementations
- Privacy protection and ethics
- Software development
- Business intelligence applications

KEYNOTE LECTURES

- David Jensen, University of Massachusetts Amherst, U.S.A.
- Justin Zhan, Carnegie Mellon University, U.S.A.

PUBLICATIONS

All accepted papers will be published in the conference proceedings, under an ISBN reference, in paper and in CD-ROM support.

VENUE

The conference was held at the Tivoli Madeira Hotel. The Tivoli Madeira is a truly stunning property located 5 minutes from Funchal city centre and 30 minutes from Madeira International Airport. This award-winning hotel overlooks the beachfront promenade and guests are guaranteed gorgeous views of the sea with direct access from the hotel to the sandy beach.

CONFERENCE CHAIR

Joaquim Filipe, Polytechnic Institute of Setubal / INSTICC, Portugal

PROGRAM CHAIR

Ana Fred, Technical University of Lisbon/IT, Portugal

PROGRAM COMMITTEE

Muhammad Abulaish, Jamia Millia Islamia (A Central University), India
Hisham Al-Mubaid, University of Houston-Clear Lake, United States
Aijun An, York University, Canada
Kar Ann Toh, Yonsei University, Korea, Republic of
Eva Armengol, IIIA CSIC, Spain
Pedro Ballester, Cambridge University, United Kingdom
Shlomo Berkovsky, CSIRO, Australia
Isabelle Bichindaritz, University of Washington, United States
Florian Boudin, University of Montréal (UDEM), Canada
Keith C. C. Chan, Hong Kong Polytechnic University, Hong Kong
Ricardo Campos, Tomar Polytechnic Institute, Portugal
Shu-Ching Chen, Florida International University, United States
Kay Chen Tan, National University of Singapore, Singapore
Manolis Christodoulakis, University of East London, United Kingdom
Beatriz de la Iglesia, University of East Anglia, United Kingdom
Dejing Dou, University of Oregon, United States
Deniz Erdogmus, Northeastern University, United States
Daan Fierens, Katholieke Universiteit Leuven, Belgium
Ana Fred, Technical University of Lisbon / IT, Portugal
Dariusz Frejlichowski, West Pomeranian University of Technology, Poland
Benjamin Fung, Concordia University, Canada
Vasco Furtado, University of Fortaleza (UNIFOR), Brazil
Qigang Gao, Dalhousie University, Canada
Gautam Garai, Saha Institute of Nuclear Physics, India
Nazli Goharian, Illinois Institute of Technology, United States
Jianchao Han, California State University, United States
Haibo He, Stevens Institute of Technology, United States
Kaizhu Huang, University of Bristol, United Kingdom
Yo-Ping Huang, National Taipei University of Technology, Taiwan
Chun Hung Li, Hong Kong Baptist University, Hong Kong
Samuel Ieong, Microsoft Research, United States
Szymon Jaroszewicz, National Institute of Telecommunications Warsaw, Poland
Rajkumar Kannan, Bishop Heber College, India
Mehmed Kantardzic, University of Louisville, United States
George Karypis, University of Minnesota, United States
Wai Lam, Chinese University of Hong Kong, Hong Kong
Carson K. Leung, University of Manitoba, Canada
Changqing Li, Duke University, United States
Kin Fun Li, University of Victoria, Canada
Tao Li, Florida International University, United States
Wenyuan Li, University of Southern California, United States
Xiao-Lin Li, Nanjing University, China
Jun Liu, University of Ulster, United Kingdom
Paul McNamee, Johns Hopkins University, United States
Rosa Meo, Università degli Studi di Torino, Italy
Pierre Morizet-Mahoudeaux, University of Technology of Compiegne, France
Panos Pardalos, University of Florida, United States
Cheong Hee Park, Chungnam National University, Korea, Republic of
Yonghong Peng, University of Bradford, United Kingdom
Yanjun Qi, NEC Laboratories America, Inc., United States
Seungmin Rho, Carnegie Mellon University, United States
Jia Rong, Deakin University, Australia
Arun Ross, West Virginia University, United States
Dou Shen, Microsoft Adcenter Labs, United States
Qiang Shen, Aberystwyth University, United Kingdom
Vincent Shin-Mu Tseng, National Cheng Kung University, Taiwan
Fabricio Silva, University of Lisbon, Portugal
Sergej Sizov, University of Koblenz-Landau, Germany
Andrzej Skowron, Warsaw University, Poland
Dominik Slezak, Infobright, Poland
Nuanwan Soonthornphisaj, Faculty of Science, Kasetsart University, Thailand
Jan Struyf, University of Leuven, Belgium
Marcin Sydow, Polish Japanese Institute of Information Technology, Poland
Ying Tan, Peking University, China
Jie Tang, Tsinghua University, China
Christos Tjortjis, University of Ioannina, Greece
Celine Vens, Katholieke Universiteit Leuven, Belgium
Zbigniew W. Ras, University of North Carolina, United States
Dianhui Wang, La Trobe University, Australia
Hui Wang, University of Ulster, United Kingdom
Jeen-Shing Wang, National Cheng Kung University, Taiwan
Zuobing Xu, H5 Inc, United States
Kiduk Yang, Indiana University, United States
JingTao Yao, University of Regina, Canada
Yiyu Yao, University of Regina, Canada
Sule Yildirim, Gjovik University College, Norway
Kai Yu, NEC Labs America, United States
Xiao-Jun Zeng, The University of Manchester, United Kingdom
Chengcui Zhang, University of Alabama at Birmingham, United States
Daoqiang Zhang, Nanjing University of Aeronautics and Astronautics, China
Min-Ling Zhang, Hohai University, China
Zhongfei (Mark) Zhang, Binghamton University, United States
Jing Zhou, Microsoft, United States