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A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.

Data stream management systems. --- Neural networks (Computer science) --- Machine learning. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Natural computation --- Soft computing --- Database management. --- Streaming technology (Telecommunications) --- Data mining. --- Data mining --- Streaming technology (Telecommunications). --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Streamed media --- Streaming media --- Streaming resources --- Data transmission systems --- Multimedia systems --- data mining --- stream --- data --- mining --- statistics --- techniques --- analysis --- learning --- extract --- algorithm --- data stream --- MOA --- massive online analysis --- software --- implementation --- applications --- approximation --- big data