5th International Workshops on Database and Data Mining(ICDDM 2016)
Views: 760
When : 2016-07-05
Where : China
Submission Deadline : 2016-03-30
Categories : Data Mining , Software Engineering & Security
5th International Workshops on Database and Data Mining(ICDDM 2016)
July 5-7, 2016
China
Call For Papers
The past ICDDMs has been successfully held in Chengdu, China (2012), Seoul, Korea (2103), Pattaya, Thailand (2014), and Chicago, USA (2015). More than hundreds participators join into ICDDM to exchange their ideas in the fields of Database and Data Mining. This year, ICDDM 2016 will be held during July 5-7, 2016 in Chengdu, China, as the workshops of ICDDM 2016.
Topics
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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
