Design Tools for Dynamic, Data-Driven, Stream Mining Systems

The proliferation of sensing devices and cost- and energy-efficient embedded processors has contributed to an increasing interest in adaptive stream mining (ASM) systems. In this class of signal processing systems, knowledge is extracted from data streams in real-time as the data arrives, rather tha...

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Bibliographische Detailangaben
1. Verfasser:	Sudusinghe, Kishan P
Format:	Report
Sprache:	eng
Schlagworte:	ACCURACY ADAPTIVE SYSTEMS ASM(ADAPTIVE STREAM MINING) CASE STUDIES CLASSIFICATION COMPUTER AIDED DESIGN Computer Hardware Computer Programming and Software Computer Systems DATA MINING DDAS(DYNAMIC DATA-DRIVEN APPLICATION SYSTEMS) EMBEDDED SYSTEMS FEATURE EXTRACTION INFORMATION RETRIEVAL KNOWLEDGE MANAGEMENT LEARNING MACHINES MULTIPROCESSORS OPTIMIZATION RELIABILITY(ELECTRONICS) SEMANTICS SIGNAL PROCESSING SVM(SUPPORT VECTOR MACHINES) SYSTEMS ENGINEERING THESES TOPOLOGY
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