Beschreibung
InhaltsangabeAn Introduction to Data Streams.- On Clustering Massive Data Streams: A Summarization Paradigm.- A Survey of Classification Methods in Data Streams.- Frequent Pattern Mining in Data Streams.- A Survey of Change Diagnosis Algorithms in Evolving Data Streams.- Multi-Dimensional Analysis of Data Streams Using Stream Cubes.- Load Shedding in Data Stream Systems.- The Sliding-Window Computation Model and Results.- A Survey of Synopsis Construction in Data Streams.- A Survey of Join Processing in Data Streams.- Indexing and Querying Data Streams.- Dimensionality Reduction and Forecasting on Streams.- A Survey of Distributed Mining of Data Streams.- Algorithms for Distributed Data Stream Mining.- A Survey of Stream Processing Problems and Techniques in Sensor Networks.
Produktsicherheitsverordnung
Hersteller:
Springer Verlag GmbH
juergen.hartmann@springer.com
Tiergartenstr. 17
DE 69121 Heidelberg
Leseprobe
Leseprobe
Inhalt
Preface.- An Introduction to Data Streams.- On Clustering Massive Data Streams: A Summarization Paradigm.- A Survey of Classification Methods in Data Streams.- Frequent Pattern Mining in Data Streams.- A Survey of Change Diagnosis Algorithms in Evolving Data Streams.- Multi-Dimensional Analysis of Data Streams Using Stream Cubes.- Load Shedding in Data Stream Systems.- The Sliding Window Computation Model and Results.- A Survey of Synopsis Construction in Data Streams.- A Survey of Join Processing in Data Streams.- Indexing and Querying Data Streams.- Dimensionality Reduction and Forecasting on Streams.- A Survey of Distributed Mining of Data Streams.- Algorithms for Distributed Data Stream Mining.- A Survey of Stream Processing.- Index.
