2016 5th International Workshops on Database and Data Mining (ICDDM)

Topics of interest for submission include, but are not limited to: 

• 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 algorithms 

• Mining 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 tasks 

• Methodological 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 integrity 

• Integrated 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