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The Ninth International Conference on Advances in Databases, Knowledge, and Data Applications DBKDA 2017 |
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ISSN: 2308-4332 |
conference contact: mp@iaria.org |
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All tracks/topics are open to both research and industry contributions.
Secial tracks: (submission deadline: April 13)
EMET: Evidential Mechanisms for Establishing Trust in Data
Chairs and Coordinators:
Assist. Prof. Dr. Alexander Rasin, DePaul University, USA arasin@cdm.depaul.edu
Assist. Prof. Dr. Tanu Malik, DePaul University, USA tanu@cdm.depaul.eduBDOC: Big Data - Opportunities and Challenges
Chair and Coordinator: Assist. Prof. Dr. Taher Omran Ahmed, IT Department, Ibri College of Applied Sciences, Sultanate of Oman taher.ibr@cas.edu.omSIA: Statistical Implicative Analysis
Chair and Coordinator: Dr. Martine Cadot, LORIA, Nancy, France martine.cadot@wanadoo.fr
Main tracks:
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
Current ongoing researches
DBaaS Storage; Preference-driven databases; Personalized ranking models; Visual query systems; Reverse rank queries; Searching on process description graphs; Search over relational data streams; Linked data streams; Nearby coalescing; Automatic labelling; Personalized query expansion; Benchmarking replication; Community detection; Risk-adaptive security model; Faceted queries over ontologies; Inclusion dependencies; Periodic-frequent patterns; Dynamic query reordering; Queries for linked data; Footprint reduction; Multi-dimensional indexing; Set similarity join algorithms; Incremental continuous query processing; Linkset views; High-utility itemsets; Reputation estimation; Quality prediction; Approximate query answering; Hidden semantic data models; Temporal extractions; Target-oriented keyword search; Filter-based profile matching; Mutual information on data streams; Stream processing; Digitized documents streams; Queries with binary constraints; Propagation granularity; Processing over raw data; Lossy transformations; Queries on massive time series; Generalized indexing; Answering batch queries; Database task schedulers; Similarity search; Fuzzy object databases; Automated prediction of relationships; Linked data streams and Internet of things; Preferred repairs; Parallel-correctness and transferability; Guarded existential rules; Tree pattern containment; Large datasets; Accessing small data; Skyline queries; Distributed set-joins; Stream sampling; Dynamic graph streams; Dynamic data structures; Nearest neighbor search
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
Contextual aggregated information retrieval; Aggregated query for workflows; 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
