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Data Streams

Overview of attention for book
Cover of 'Data Streams'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Data Streams
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    Chapter 2 On Clustering Massive Data Streams: A Summarization Paradigm
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    Chapter 3 A Survey of Classification Methods in Data Streams
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    Chapter 4 Frequent Pattern Mining in Data Streams
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    Chapter 5 A Survey of Change Diagnosis Algorithms in Evolving Data Streams
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    Chapter 6 Multi-Dimensional Analysis of Data Streams Using Stream Cubes
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    Chapter 7 Load Shedding in Data Stream Systems
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    Chapter 8 The Sliding-Window Computation Model and Results
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    Chapter 9 A Survey of Synopsis Construction in Data Streams
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    Chapter 10 A Survey of Join Processing in Data Streams
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    Chapter 11 Indexing and Querying Data Streams
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    Chapter 12 Dimensionality Reduction and Forecasting on Streams
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    Chapter 13 A Survey of Distributed Mining of Data Streams
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    Chapter 14 Algorithms for Distributed Data Stream Mining
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    Chapter 15 A Survey of Stream Processing Problems and Techniques in Sensor Networks
Attention for Chapter 5: A Survey of Change Diagnosis Algorithms in Evolving Data Streams
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