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IMMM 2016 : IMMM 2016, Sixth International Conference on Advances in Information Mining and Management


When May 22, 2016 - May 26, 2016
Where Valencia (Spain)
Submission Deadline Jan 26, 2016

Call For Papers

Last Mile | IMMM 2016, The Sixth International Conference on Advances in Information Mining


The submission deadline has been extended to January 26, 2016.

Please consider to contribute to and/or forward to the appropriate
groups the following opportunity to submit and publish original
scientific results to:

- IMMM 2016, The Sixth International Conference on Advances in
Information Mining and Management

Authors of selected papers will be invited to submit extended article
versions to one of the IARIA Journals:

============== IMMM 2016 Call for Papers ===============


IMMM 2016, The Sixth International Conference on Advances in Information
Mining and Management
General page:
Submission page:

Events schedule: May 22 - 26, 2016 - Valencia, Spain

- regular papers [in the proceedings, digital library]
- short papers (work in progress) [in the proceedings, digital library]
- ideas: two pages [in the proceedings, digital library]
- extended abstracts: two pages [in the proceedings, digital library]
- posters: two pages [in the proceedings, digital library]
- posters: slide only [slide-deck posted at]
- presentations: slide only [slide-deck posted at]
- demos: two pages [posted at]
- doctoral forum submissions: [in the proceedings, digital library]

Proposals for:
- mini symposia: see
- workshops: see
- tutorials: [slide-deck posed on]
- panels: [slide-deck posed on]

Submission deadline: January 26, 2016

Sponsored by IARIA,
Extended versions of selected papers will be published in IARIA
Print proceedings will be available via Curran Associates, Inc.:
Articles will be archived in the free access ThinkMind Digital Library:

The topics suggested by the conference can be discussed in term of
concepts, state of the art, research, standards, implementations,
running experiments, applications, and industrial case studies. Authors
are invited to submit complete unpublished papers, which are not under
review in any other conference or journal in the following, but not
limited to, topic areas.

All tracks are open to both research and industry contributions, in
terms of Regular papers, Posters, Work in progress,
Technical/marketing/business presentations, Demos, Tutorials, and Panels.

Before submission, please check and comply with the editorial rules:

IMMM 2016 Topics (for topics and submission details: see CfP on the site)

Call for Papers:


Mining mechanisms and methods
Data mining algorithms; Media adaptive mining; Agent-based mining;
Content-based mining; Context-aware mining; Automation of data
extraction; Data mining at a large; Domain-driven data mining;
Graph-based data mining; Multilabel information; Multimodal mining;
Cloud-based mining; Mining using neurocomputing techniques

Mining support
Querying for mining; Questions for digital investigation; Similarity
search; User-generated content; Visualizing data mining;
Internationalization and localization techniques for
profile/context-based visualization

Type of information mining
Concept mining; Process mining; Concept mining; Knowledge mining;
Knowledge discovery; Mining image and video; Mining patterns; Opinion
mining; Graph mining; Ontology mining; Semantic annotations and mining;
Document mining; Spatial mining; Speech mining; Text mining; Web mining;
XML data mining

Pervasive information retrieval
Context and location information retrieval; Mobile information
retrieval; Geo-information retrieval; Context-aware information
retrieval; Access-driven information retrieval; Location-specific
information retrieval; Spacial information retrieval; Semantic-driven

Automated retrieval and mining
Automated information extraction; Agent-based data mining and
information discovery; Agent-based knowledge; Datamining-based agents
and multi-agent systems; Agent-mining intelligent applications and
systems; Automated retrieval of multimedia streams; Automated retrieval
from multimedia archives; Automated copyright infringement detection and
watermarking; Automated content summarization; Automatic concept
detection, categorization, and genre detection; Automatic speech
recognition; Automated cross-media linking

Mining features
Dimensionality reduction; Feature weighting; Subset selection; Feature
extraction; Feature construction; Data streams and time series;
Selection in high-dimensional domains; Multilingual data mining;
Multimedia mining; String processing and data mining; Mining association
rules; Mining social relationships; Mining linked data; Mining
sequential episodes from time series; Mining time-dependent data;
Un-supervised data mining; Semi-structured data; Mining
location-sensitive data; Concept-drift in data mining

Information mining and management
Data cleaning; Data updating; Segmentation and clustering; Mining
transient information; Warehousing; Web syndication; Data filtering and
aggregation; Optimal pruning; Data summarization; Knowledge injection,
discovery and classification; Uncertainty removal; Managing incompleteness

Mining from specific sources
Bio data mining; Climate data mining; Data mining in medicine and
pharmacology; Data mining in special networks (grids, sensors, etc.);
Data management for mobile systems; Data management for sensors; Data
mining and management for wireless systems; Dynamic network discovery;
Mining from multiple sources; Mining personal semantic data; Mining from
social networks; Mining from deep web; Mining from Wikipedia

Data management in special environments
Data management in sensor and mobile ad hoc networks; Data management in
mobile peer-to-peer networks; Data management for mobile applications;
Data management in mobile/temporal social networks; Management of
community sensing/participatory sensing data; Managing pervasive data,
sensor data streams and user devices; Managing mobile semantic data;
Manging data-intensive mobile computing; Management of real-time data;
Managing security data streams; Managing Mobile Web 2.0 data; Managing
data in mobile clouds; Data replication, migration and dissemination in
mobile environments; Web data processing and security on mobile devices;
Resource advertising and discovery techniques

Mining evaluation
Statistics on mining; Ranking of mining results; Provenance; Privacy
issues; Patterns for mining; Credibility on data mining; Performance of
mining information; Data mining and computational intelligence;
Intelligent data understanding; Intelligent data analysis

Mining tools and applications
Data mining applications; Data mining tools and enabling software;
Interoperability of information mining tools; Applications for
large-scale mining; Content segmentation tools (e.g., shot and semantic
scene segmentation); Evaluation methods for TV and radio content
analysis tools; Tools for data sets and standard resources


IMMM 2016 Committee:

IMMM General Chairs
Elsa Macias-López, Las Palmas de Gran Canaria University, Spain
Alvaro Suarez, Las Palmas de Gran Canaria University, Spain

IMMM Advisory Committee
Philip Davis, Bournemouth and Poole College - Bournemouth, UK
Andreas Schmidt, Karlsruhe University of Applied Sciences, Germany
David Newell, Bournemouth University - Bournemouth, UK
Kuan-Ching Li, Providence University, Taiwan
Abdulrahman Yarali, Murray State University, USA
Alain Casali, Aix Marseille Université, France
Ingrid Fischer, Universität Konstanz, Germany
Christian Ernst, Ecole des Mines de St Etienne - Gardanne, France
Paolo Garza, Politecnico di Torino, Italy
Bartlomiej Jefmanski, Wroclaw University of Economics, Poland
Nathalie Pernelle, Université Paris-Sud, France
Jürgen Pfeffer, Carnegie Mellon University, USA
Jörg Scheidt, University of Applied Sciences Hof, Germany
Ariella Richardson, Jerusalem College of Technology, Israel
Lorna Uden, Staffordshire University, UK
Eli Upfal, Brown University - Providence USA
Domenico Ursino, Università Mediterranea di Reggio Calabria, Italy
Jan Zizka, Mendel University - Brno, Czech Republic

IMMM Industry/Research Liaison Committee
Stefan Brüggemann, Astrium GmbH - Bremen, Germany
Olivier Caelen, Atos Worldline, Belgium
Feng Yan, Facebook Inc., USA
Katja Pfeifer, SAP AG, Germany
Arno H.P. Reuser, Reuser's Information Services, The Netherlands
Mirela Danubianu, "Stefan cel Mare" University of Suceava, Romania
Wei Jin,, Seattle, USA
Olivier Caelen, Atos Worldline, Belgium
Yili Chen, Monsanto Company, USA
Gloria Bordogna, CNR - National Research Council / IDPA - Institute for
the Dynamics of Environmental Processes - Dalmine, Italy
Daniel Kimming, Karlsruhe Institute of Technology, Germany
Josiane Mothe, IRIT, France
Dirk Labudde, Hochschule Mittweida, Germany
Yoseba Penya Landaburu, University of Deusto - Basque Country, Spain
Robert Wrembel, Poznan University of Technology, Poland

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