posted by user: elsa_macias || 620 views || tracked by 1 users: [display]

IMMM and DATASETS 2016 : IMMM 2016, Sixth International Conference on Advances in Information Mining and Management; DATASETS 2016, International Symposium on Designing, Validating, and Using Datasets


When May 22, 2016 - May 26, 2016
Where Valencia (Spain)
Submission Deadline Jan 19, 2016
Notification Due Feb 29, 2016
Final Version Due Apr 12, 2016
Categories    theory   types   features   APPLICATIONS AND EXPERIMENTS

Call For Papers


The submission deadline has been extended to January 19, 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

- DATASETS 2016, The International Symposium on Designing, Validating, and Using Datasets

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

============== IMMM 2016 | DATASETS 2016 | Call for Papers ===============


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

DATASETS 2016, The International Symposium on Designing, Validating, and Using Datasets
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 19, 2016

Sponsored by IARIA,
Extended versions of selected papers will be published in IARIA Journals:
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 retrieval

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

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



The anatomy of designing Datasets
Designing context-based Datasets
Metadata for Datasets
Challenges in designing very large Datasets
Updatable and updating Datasets
Reference Datasets
Datasets families
Repositories of Datasets
Criteria for selecting appropriate Datasets

Public and private Datasets
Open Datasets
Big Data and Datasets
Trusted Datasets
Mining massive Datasets

Testing and validating Datasets
Pitfalls with Datasets
Reputation of Datasets
Accuracy estimation of Datasets
Data links in Datasets

Context-aware Datasets in the Internet of Things
Datasets for data mining
Datasets used in statistics and machine learning
Online Datasets on collective behavior
Datasets for analytics and knowledge discovery
Regression Datasets
Climate Datasets
Gene Datasets
Health Datasets
Economic Datasets
Social Datasets
Transportation Datasets
Urban Datasets
Education/scholar Datasets

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

DATASETS 2016 Committee:

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

DATASETS 2016 Advisory Committee
Sung-Bae Cho (Chair), Yonsei University, Korea
Kyung-Joong Kim, Sejong University, Korea

Related Resources

CIKM 2017   The 26th 2017 ACM Conference on Information and Knowledge Management
WADS 2017   Workshop on Algorithms and Data Structures
IMMM 2017   The Seventh International Conference on Advances in Information Mining and Management
Gift-ACLA 2017   The Gift in Literature: ACLA Seminar
ICDM 2017   IEEE International Conference on Data Mining 2017
SEA 2017   Symposium on Experimental and Efficient Algorithms
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
COCOON 2017   Computing and Combinatorics Conference
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
International Relations 2017   Off the Beaten Track: Non-Western Perspectives in International Relations 12th AGS Annual Graduate Student Conference