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{{Event series
|Acronym=DSAA
|Title=IEEE International Conference on Data Science and Advanced Analytics
|Field=Data science
}}
DSAA Topics

DSAA encourages research, education/training, development and applications on big data, data science, and advanced analytics, related to topics include, but are not limited to:

* Foundations for Big Data, Data Science and Advanced Analytics
* 
*     New mathematical, probabilistic and statistical models and theories
*     New learning theories, models and systems
*     Deep analytics and learning
*     Distributed and parallel computing (cloud, map-reduce, etc.)
*     Non-iidness (heterogeneity & coupling) learning
*     Invisible structure, relation and distribution learning
*     Intent and sight learning
*     Scalable analysis and learning
* 
* Information infrastructure, management and processing
* 
*     Data pre-processing, sampling and reduction
*     Feature selection and feature transformation
*     High performance/parallel distributed computing
*     Analytics architectures and infrastructure
*     Heterogeneous data/information integration
*     Crowdsourcing
*     Human-machine interaction and interfaces
* 
* Retrieval, query and search
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*     Web/social web/distributed search
*     Indexing and query processing
*     Information and knowledge retrieval
*     Personalized search and recommendation
*     Query languages and user interfaces
* 
* Analytics, discovery and learning
* 
*     Mixed-type data analytics
*     Mixed-structure data analytics
*     Big data modeling and analytics
*     Multimedia/stream/text/visual analytics
*     Coupling, link and graph mining
*     Personalization analytics and learning
*     Web/online/network mining and learning
*     Structure/group/community/network mining
*     Big data visualization analytics
*     Large scale optimization
* 
* Privacy and security
* 
*     Security, trust and risk in big data
*     Data integrity, matching and sharing
*     Privacy and protection standards and policies
*     Privacy preserving big data access/analytics
*     Social impact
* 
* Evaluation, applications and tools
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*     Data economy and data-driven lousiness model
*     Domain-specific applications
*     Quality assessment and interestingness metrics
*     Complexity, efficiency and scalability
*     Anomaly/fraud/exception/change/event/crisis analysis
*     Large-scale recommender and search systems
*     Big data representation and visualization
*     Post-processing and post-mining
*     Large scale application case studies
*     Online/business/government data analysis
*     Mobile analytics for handheld devices
*     Living analytics
*
EventSeries acronym	DSAA +
Field	Category:Data science +
Homepage	https://dsaa.co/?page id=1064 +
IsA	EventSeries +
Title	IEEE International Conference on Data Science and Advanced Analytics +