As the workshops of ICIVC 2017, ICDDM 2017 is for presenting novel and fundamental advances in the fields of Database and Data Mining. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in improving Database and Data Mining related techniques.
Data mining foundations
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
Algorithms for new, structured, data types, such as arising in chemistry, biology, environment, and other scientific domains
Developing a unifying theory of data mining
Mining sequences and sequential data
Mining spatial and temporal datasets
Mining textual and unstructured datasets
Big data analytic and High performance implementations of data mining algorithmsMining in targeted application contexts
Mining high speed data streams
Abnormality and data detection
Mining sensor data
Distributed data mining and mining multi-agent data
Mining in networked settings: web, social and computer networks, and online communities
Data mining in electronic commerce, such as recommendation, sponsored web search, advertising, and marketing tasksMethodological aspects and the KDD process
Data pre-processing, data reduction, feature selection, and feature transformation
Data cleaning and noise reduction
Data integration, data transformation, information extraction and recognition
Quality assessment, interestingness analysis, and post-processing
Statistical foundations for robust and scalable data mining
Handling imbalanced data, incomplete data or imperfect knowledge system
Automating the mining process and other process related issues
Dealing with cost sensitive data and loss models
Human-machine interaction and visual data mining
Security, privacy, and data integrityIntegrated KDD applications and systems
Bioinformatics, computational chemistry, geoinformatics, and other science & engineering disciplines
Computational finance, online trading, and analysis of markets
Intrusion detection, fraud prevention, and surveillance
Healthcare, epidemic modeling, and clinical research
Customer relationship management, logistic management and risk management
Telecommunications, network and systems management
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Posted 12-10-2016 on 14:43:36 AEDT