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NFMCP@ECML/PKDD 2017 : New Frontiers in Mining Complex Patterns | |||||||||
Link: http://www.di.uniba.it/~loglisci/NFmcp17/ | |||||||||
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Call For Papers | |||||||||
Call for Papers
The 7th International Workshop on New Frontiers in Mining Complex Patterns in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), to be held in Skopje, Macedonia from September 18th to 22nd, 2017. (http://ecmlpkdd2017.ijs.si/index.html). Modern automatic systems are able to collect huge volumes of data, often with a complex structure (e.g. multi-table data, XML data, web data, time series and sequences, graphs and trees). The massive and complex data pose new challenges for current research in Knowledge Discovery and Data Mining. They require new methods for storing, managing and analysing them by taking into account various complexity aspects: Complex structures (e.g. multi-relational, time series and sequences, networks, and trees) as input/output of the data mining process; Massive amounts of high dimensional data collections flooding as high-speed streams and requiring (near) real time processing and model adaptation to concept drifts; New application scenarios involving security issues, interaction with other entities and real-time response to events triggered by sensors. The purpose of the workshop is to bring together researchers and practitioners of data mining and machine learning interested in analysis of complex data. We welcome submissions focusing on recent advances and latest developments in the analysis of complex and massive data sources such as blogs, event or log data, medical data, spatio-temporal data, social networks, mobility data, sensor data and streams. Submissions discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery are also welcome. We encourage submissions from the areas of statistics, machine learning and big data analytics, which present techniques that take advantage of the informative richness of complex massive data for efficiently and effectively identifying new patterns. Finally, submissions describing preliminary and promising studies are also welcome. Topics of Interest NFMCP 2017 calls for international contributions related to foundations, challenges and research opportunities raised by real-world learning and data mining problems in which the data as well as patterns are complex and heterogeneous. The goal of the workshop is to promote and publish research in the field of complex pattern mining. Suggested topics include (but not limited to) the following: • Foundations on pattern mining, pattern usage, and pattern understanding • Mining stream, time-series and sequence data • Mining networks and graphs • Mining biological data • Mining dynamic and evolving data • Mining environmental and scientific data • Mining heterogeneous and ubiquitous data • Mining multimedia data • Mining multi-relational data • Mining semi-structured and unstructured data • Mining spatio-temporal data • Mining big data • Social media analytics • Ontology and metadata • Privacy preserving mining • Semantic web and Knowledge databases Keynote Speech To be defined. Submission Instructions Authors are invited to submit electronically original research papers and extended abstracts in Portable Document Format (PDF). Research papers should be at most 12 pages long whereas extended abstracts should be at most 8 pages long. Papers must be written in English. Paper should be submitted in PDF form via NFMCP 2017 Online Submission System. Submitted papers will be evaluated by three reviewers. Acceptance will be based on relevance, technical soundness, originality, and clarity of presentation. Accepted papers and extended abstracts will be published in the proceedings of the workshop. Papers must be formatted using the Lecture Notes in Computer Science style available at http://www.springer.de/comp/lncs/authors.html . Springer Book and Journal Special Issue: As in the previous editions, it is planned to publish revised accepted papers as a volume in the Springer LNCS/LNAI series and to consider a set of papers from the workshop relevant to the topic for a special issue of the Journal of Intelligent Information Systems (Springer) Important Dates Workshop paper submission deadline: Monday, July 3, 2017 Workshop paper acceptance notification: Monday, July 24, 2017 Workshop paper camera-ready deadline: Monday, August 7, 2017 Fee and Payment method See ECML/PKDD Congress policies link Program Committee See conference web site (http://www.di.uniba.it/~loglisci/NFmcp17/) Organizing Committee Annalisa Appice (http://www.di.uniba.it/~appice/) Corrado Loglisci (http://www.di.uniba.it/~loglisci/) Department of Computer Science, University of Bari Aldo Moro, Bari, Italy Email: {annalisa.appice, corrado.loglisci}@uniba.it Giusppe Manco (http://www.icar.cnr.it/it/personale/giuseppe-manco) Elio Masciari (http://www.icar.cnr.it/masciari) ICAR-CNR, Rende, Italy Email: {manco,masciar}i@icar.cnr.it Zbigniew W. Ras (http://cs.uncc.edu/~ras/) Department of Computer Science, University of North Carolina, Charlotte, USA & Polish-Japanese Academy of Information Technology, Warsaw, Poland Email: ras@uncc.edu Further Information Address any further inquiry to: NFMCP 2017 Workshop Chairs, mailto: nfmcp2017@icar.cnr.it |
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