ADDM 2013 - Advances in Database and Data Mining

DATA MINING
? Adaptive algorithms
? Classification
? Clustering
? Collaborative filtering/personalization
? Complexity, efficiency, and scalability issues in data mining
? Computational learning theory
? Data and knowledge representation for data mining
? Data cleaning & noise reduction
? Data mining applications
? Data pre-processing
? Data reduction
? Data stream mining
? Dimension reduction
? Educational data mining
? Ethics of data mining
? Feature selection/ feature extraction
? Foundations of data mining
? Frequent pattern mining
? Graph mining
? Human-machine interaction and visual data mining
? Integration of data warehousing, OLAP and data mining
? Link and graph mining
? Mining complex datasets
? Mining data streams
? Mining graphs
? Mining on emerging architectures
? Mining semi structured data
? Mining spatio-temporal data
? Mining with constraints
? Mining with data clouds and big data
? Multimedia data mining, web mining
? Multi-task learning
? Parallel and distributed data mining algorithms
? Pattern recognition and trend analysis
? Post-processing of data mining results
? Probabilistic & Statistical Methods
? Query languages and user interfaces for mining
? Security and information hiding in data mining
? Security, privacy and social impact of data mining
? Soft computing and uncertainty management for data mining
? Spatial and temporal Mining
? Statistics and probability in large-scale data mining
? Text video
? Visualization
DATABASE
? Access methods and physical design
? Active databases
? Availability, reliability, and scalability
? Big Data Storage, processing and transformation
? Complex event processing and data streams
? Concurrency control and recovery
? Constraint modelling and processing
? Data and information networks
? Data and information privacy and security
? Data and information quality
? Data curation, annotation and provenance
? Data integration, heterogeneous and federated DBMS
? Data management in clouds
? Data management in grid and P2P Systems
? Data models and database design
? Data quality
? Data structures and algorithms for data management
? Data visualization
? Data warehousing
? Database and Information System Architecture and Performance
? Database Performance and Evaluation
? DBMS on emerging hardware architectures
? Deductive databases
? Digital libraries
? Distributed and parallel databases
? Graph databases
? Heterogeneous databases
? Incompleteness, inconsistency, and uncertainty in databases
? Indexing, query processing and optimization
? Information retrieval and database systems
? Interoperability
? Knowledge and information processing
? Knowledge modelling
? Metadata management
? Middleware and workflow management
? Mobile data and Information
? Multi-databases and database federation
? Multimedia databases
? Object-oriented databases
? Ontology-based data management
? Pervasive data and information
? Privacy, security, and trust management
? Process support and automation
? Query languages
? Query processing and optimization
? Scientific and statistical databases
? Semantic-web data
? Semi-structured data
? Sensor data management
? Social networks and analysis
? Spatial, temporal and geographic databases
? Text databases and information retrieval
? User interfaces to databases and information systems
? Very large data bases
? Workflow management and databases
? WWW and databases
? XML and databases
? XML and semi-structured databases
? Grid, peer-to-peer databases and cloud computing