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

Cristina Pascual cris.pascual.gonzalez at gmail.com
Wed Feb 4 14:25:57 EST 2015


INVITATION:

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The submission deadline is extended to February 18, 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 18, 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
==========================

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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