INVITATION:

=================
Please consider to contribute to and/or forward to the appropriate
groups the following opportunity to submit and publish original
scientific results.
The submission deadline is set to October 5, 2011.
A video of the 2011 event is available on the conference front page:
http://www.iaria.org/conferences2012/DBKDA12.html
In addition, authors of selected papers will be invited to submit
extended article versions to one of the IARIA Journals:
http://www.iariajournals.org
=================


============== DBKDA 2012 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS

DBKDA 2012: The Fourth International Conference on Advances in
Databases, Knowledge, and Data Applications
February 29 - March 5, 2012 - Reunion Island

General page: http://www.iaria.org/conferences2012/DBKDA12.html

Call for Papers: http://www.iaria.org/conferences2012/CfPDBKDA12.html

- regular papers
- short papers (work in progress)
- posters
- ideas

Submission page: http://www.iaria.org/conferences2012/SubmitDBKDA12.html

Submission deadline: October 5, 2011

Sponsored by IARIA, www.iaria.org

Extended versions of selected papers will be published in IARIA
Journals: http://www.iariajournals.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are invited to submit complete unpublished papers, which are not under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 conform with the Editorial rules:
http://www.iaria.org/editorialrules.html

DBKDA 2012 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

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 query, 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 visualization

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


Committee: http://www.iaria.org/conferences2012/ComDBKDA12.html
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