[agents] Deadline Extension: IMMM 2015 and DATASETS 2015 || June 21 - 26, 2015 - Brussels, Belgium

[Cristina Pascual]

INVITATION:
 
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 The submission deadline is extended to February 11, 2015.
 
Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:
 
- IMMM 2015, The Fifth International Conference on Advances in Information Mining and Management
 
- DATASETS 2015, The International Symposium on Challenges for Designing and Using Datasets
 
Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org
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============== IMMM 2015 | DATASETS 2015 | Call for Papers ===============
 
CALL FOR PAPERS, TUTORIALS, PANELS
 
IMMM 2015, The Fifth International Conference on Advances in Information Mining and Management
 
General page: http://www.iaria.org/conferences2015/IMMM15.html
 Submission page: http://www.iaria.org/conferences2015/SubmitIMMM15.html
 
DATASETS 2015, The International Symposium on Challenges for Designing and Using Datasets
 
General page: http://www.iaria.org/conferences2015/DATASETS.html
 Submission page: http://www.iaria.org/conferences2015/DATASETS.html#SubmitAPaper
 
Events schedule: June 21 - 26, 2015 - Brussels, Belgium
 
Contributions:
 - 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 www.iaria.org]
 - presentations: slide only [slide-deck posted at www.iaria.org]
 - demos: two pages [posted at www.iaria.org]
 - doctoral forum submissions: [in the proceedings, digital library]
 
Proposals for:
 - mini-symposia: see http://www.iaria.org/symposium.html
 - workshops: see http://www.iaria.org/workshop.html
 - tutorials:  [slide-deck posed on www.iaria.org]
 - panels: [slide-deck posed on www.iaria.org]
 
Submission deadline: February 11, 2015
 
Sponsored by IARIA, www.iaria.org
 Extended versions of selected papers will be published in IARIA Journals:  http://www.iariajournals.org
 Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html
 Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org
 
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: http://www.iaria.org/editorialrules.html
 
IMMM 2015 Topics (for topics and submission details: see CfP on the site)
 
Call for Papers: http://www.iaria.org/conferences2015/CfPIMMM15.html
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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 2015 Topics (for topics and submission details: see CfP on the site)
 CfP: http://www.iaria.org/conferences2015/DATASETS.html#CallForPapers
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THEORY
     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
 
TYPES
     Public and private Datasets
     Open Datasets
     Big Data and Datasets
     Trusted Datasets
     Mining massive Datasets
 
FEATURES
     Testing and validating Datasets
     Pitfalls with Datasets
     Reputation of Datasets
     Accuracy estimation of Datasets
     Data links in Datasets
 
APPLICATIONS AND EXPERIMENTS
     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
 
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 IMMM 2015 Committee: http://www.iaria.org/conferences2015/ComIMMM15.html
 
DATASETS 2015 Committee: http://www.iaria.org/conferences2015/DATASETS.html#Committees
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