[ecoop-info] CfP: DBKDA 2013 || January 27 - February 1, 2013 - Seville, Spain

Cristina Pascual cris.pascual.gonzalez at gmail.com
Fri Aug 10 11:15:55 CEST 2012


Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and 
publish original scientific results to DBKDA 2013.
The submission deadline is September 14, 2012.
Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: 

============== DBKDA 2013 | Call for Papers ===============


DBKDA 2013, The Fifth International Conference on Advances in Databases, Knowledge, and Data Applications

January 27 - February 1, 2013 - Seville, Spain

General page: http://www.iaria.org/conferences2013/DBKDA13.html

Call for Papers: http://www.iaria.org/conferences2013/CfPDBKDA13.html

- regular papers
- short papers (work in progress)
- posters
- industrial presentations

Submission page: http://www.iaria.org/conferences2013/SubmitDBKDA13.html

Submission deadline: September 14, 2012

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

Please note the Poster and Work in Progress options.

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submit complete unpublished papers, which are not under review in any other conference or journal in the 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

DBKDA 2013 Topics (topics and submission details: see CfP on the site)

Advances in fundamentals on databases

    Foundations and architectures; Design features (data quality, performance, robustness, scalability, security, 
privacy, parallel and distributed approaches, mobility, etc.); Data quality, data structures, and data modeling; 
Advanced indexing methods; Advanced ranking algorithms and uncertainty; Physical organization and performance; 
Federated choreographies; Temporal conformance; Evolutionary clustering and dynamic hierarchical clustering

Databases and other domains

    Leading-edge database technology and applications; Heterogeneous databases interoperability and mediation; 
Databases and Web services; Databases and artificial intelligence; Databases and agents; Advances in database 
management systems; Advanced transaction and workflow management; Advances on XML and databases

Databases technologies

    Self-managing databases; Mobile databases;  Database access; Embedded databases; Very large scale databases; 
Spatial and spatio-temporal databases; Data warehousing; Multimedia databases; Semantic databases; Data 
integration resources on the Internet; Object-oriented databases; Web-based databases; Deductive and active 

Databases content processing

    Mining for complex data; Mining for text, video, and pictures; Knowledge discovery and classification; Process 
mining; Scalable data extraction; Query processing and optimization; Query rewrite rules; Navigational path 
expressions; Load-balancing in accessing distributed databases; Incompleteness, inconsistency, uncertainty; 
Storage and replication; Patterns and similarities in data streams; Fast matching; Multiple views

Knowledge and decision bases

    Knowledge representation and management; Knowledge discovery (business intelligence); Semantic information; 
Ontology and advanced knowledge search; Heuristics and meta-heuristics; Intelligent knowledge querying; Feature 
sampling and feature selection; Context-aware knowledge base; Blogs and social relationship search; Deductive 
reasoning; Reasoning databases; Ontology-based reasoning

Specifics on application domains databases

    Database applications in Life Sciences; Advanced database applications; Bioinformatics databases; Healthcare 
databases; Finance and marketing databases; Telecom databases; Geospatial databases; Census databases; 
Meteorological databases; Business intelligence databases; e-Business databases

XML-driven data, knowledge, databases

    Data /dissemination, distributed, processing, management/; XML-data /storage, exchange, compress, metadata/; 
XML-data and metadata management; XML repositories; Knowledge discovery from XML repositories; XML-data processing 
/queries, indexing, management, retrieval, mining/; XML data and knowledge /representation, discovery, mining, 
orchestration/; XML-data in advances environments /clouds, P2P, multimedia, mobile, finance, biotechnologies, 
geospatial, space/; XML-data and process /data warehouse, workflow, web, learning, control/;

Data privacy

    Privacy models; Privacy metrics; Privacy preservation; Watermarking; Data Hiding; Background knowledge; 
Privacy /data streams, social networks, databases, semantic web/; Privacy mechanisms /cryptography, privacy-aware 
access control, generalization-based algoritm, perturbation-based algorithm, preservation, sequental releases/; 
Practical studies /privacy leaking, privacy breach, threats to privacy, privacy in outsourcing/

Data quality and uncertainty

    Models, frameworks, methodologies and metrics for data quality; Quality of complex data /documents, 
semi-structured data, XMLs, multimedia data, graphs, bio-sequences/; Uncertain and noisy data; Uncertain data 
representation; Processing uncertain data /querying, indexing, mining/; Mining uncertain data/probabilistic, 
spatially- and temporally- uncertain, uncertain streams/ Data lineage and provenance; Data profiling and 
measurement; Data integration, linkage and fusion; D uplicate detection and consistency checking; D ata mining and 
data quality assessment; Quality methods and algorithms / data transformation, reconciliation, consolidation, 
extraction, cleansing/; User perception on data quality and cleansing;

Data querry, access, mining, and correlation

    Data access technologies, Query optimisation, Discovering multi-modal correlations; Mining structural data 
from non-structural mixed-media documents; Data stream mining /frequent patterns, bursty event detection/; Profile 
mining; Corelation and anomaly in multi-modal-data /social networks, web traffic logs, sale transactions/; 
Information retrieval on a mixed collections; Multimedia data mining; Data mining system for medical multimedia 
data; Contents-based image/video retrieval systems

Data and process provenance

    Provenance architectures and algorithms; Provenance modelling; Information management for provenance data; 
Provenance ontology and semantic; Provenance querying; Provenance annotation; Security, trust, and privacy for 
provenance information; Case studies and practice; Reasoning over provenance; Provenance analytics, mining and 

Data management

    Distributed Query Languages; Query processing and optimization; Adaptive query processing; Management of 
mobile data; Managing data privacy and security; Data storage and management; Data stream systems; Data locating; 
Data warehouse management; Management of dynamic data; Workload adaptability; Transaction management; Performance 
evaluation and benchmarking or data management

to be updated

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