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===Scopes=== *Parallel Processing *Parallel DBMS Technology *Schema-free Data Repositories *Modelling diverse big data sources (e.g. text) *Conceptual Model Foundations for Big Data *Query Languages *Query processing and Optimization *Semantics for Big Data Intelligence *Data Warehouses, Data Lakes *Big Data Storage and Indexing *Big Data Analytics: Algorithms, Techniques, and Systems *Big Data Quality and Provenance Control *Distributed System Architectures *Cloud Infrastructure for Big Data *Scalability and Parallelization using MapReduce, Spark and Related Systems *Graph Analytics *Visualization *Big Data Search and Discovery *Big Data Management for Mobile Applications *Analytics for Unstructured, Semi-structured, and Structured Data *Analytics for Temporal, Spatial, Spatio-temporal, and Mobile Data *Analytics for Data Streams and Sensor Data *Real-time/Right-time and Event-based Analytics *Privacy and Security in Analytics *Big Data Application Deployment *Pre-processing and Data Cleaning *Integration of Data Warehousing, OLAP Cubes and Data Mining *Analytic Workflows *Novel Applications of Text Mining to Big Data *Deep Learning Applications *Data Science Products
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