9th International Conference on Knowledge Discovery and Information Retrieval KDIR
website: http://www.kdir.ic3k.org/
November 1 - 3, 2017 Funchal, Madeira, Portugal
In Cooperation with: APRP, GI - SIG KM, AIXIA, AAAI, ACM In-Cooperation, ACM SIGMIS and ACM SIGAI
Co-organized by: UMA
Sponsored by: INSTICC
INSTICC is Member of: FIPA, WfMC and OMG
Logistics Partner: SCITEVENTS
IMPORTANT DATES:
Regular Paper Submission: May 22, 2017
Authors Notification (regular papers): July 24, 2017
Final Regular Paper Submission and Registration: September 1, 2017
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:
Area 1: KDIR - International Conference on Knowledge Discovery and Information Retrieval
- BioInformatics & Pattern Discovery
- Business Intelligence Applications
- Clustering and Classification Methods
- Collaborative Filtering
- Concept Mining
- Context Discovery
- Data Analytics
- Data Mining in Electronic Commerce
- Data Reduction and Quality Assessment
- Foundations of Knowledge Discovery in Databases
- Information Extraction
- Interactive and Online Data Mining
- Machine Learning
- Mining Multimedia Data
- Mining Text and Semi-structured Data
- Pre-processing and Post-processing for Data Mining
- Process Mining
- Software Development
- Structured Data Analysis and Statistical Methods
- User Profiling and Recommender Systems
- Visual Data Mining and Data Visualization
- Web Mining
KDIR KEYNOTE LECTURE
Dr. Linda Terlouw, ICRIS Consultancy, Antwerp Management School,
Avans University of Applied Sciences, Nyenrode Business University,
Netherlands
KDIR CONFERENCE CHAIR:
Joaquim Filipe, Polytechnic Institute of Setúbal / INSTICC, Portugal
PROGRAM CHAIR:
Ana Fred, Instituto de Telecomunicações / IST, Portugal
PROGRAM COMMITTEE
http://www.kdir.ic3k.org//ProgramCommittee.aspx
KDIR Secretariat
Address: Av. D. Manuel I, 27A, 2º esq.
Tel: +351 265 520 184
Fax: +351 265 520 186
Web: http://www.kdir.ic3k.org/
e-mail: kdir.secretariat@insticc.org
