KDIR is part of IC3K, the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Registration to KDIR allows free access to all other IC3K conferences.
IC3K 2017 will be held in conjunction with IJCCI 2017.
Registration to IC3K allows free access to the IJCCI conference (as a non-speaker).
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.
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.
Joaquim Filipe, Polytechnic Institute of Setubal / INSTICC, Portugal
Ana Fred, Instituto de Telecomunicações and Instituto Superior Técnico (University of Lisbon), Portugal
Linda Terlouw, ICRIS Consultancy, Antwerp Management School, Avans University of Applied Sciences, Nyenrode Business University, NetherlandsSlinger Jansen, Utrecht University, NetherlandsJonathan Garibaldi, University of Nottingham, United KingdomPaulo Novais, Universidade do Minho, Portugal
It is planned to publish a short list of revised and
extended versions of presented papers with Springer
in a CCIS Series book
Proceedings will be submitted for indexation by:
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