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Spatio-Temporal Data Streams
von: Zdravko Galic
Springer-Verlag, 2016
ISBN: 9781493965755 , 116 Seiten
Format: PDF, OL
Kopierschutz: Wasserzeichen
Preis: 53,49 EUR
Preface
7
Acknowledgements
9
Contents
10
Acronyms
12
1 Introduction
14
1.1 From Databases to Data Streams
14
1.2 Data Stream Management Systems---An Overview
18
1.3 Data Stream Mining and Knowledge Discovery---An Overview
21
References
25
2 Spatio-Temporal Continuous Queries
29
2.1 Foundation of Continuous Query Processing
29
2.1.1 Running Example
32
2.2 Stream Windows
36
2.2.1 Time-Based Window
37
2.2.2 Tuple-Based Window
39
2.2.3 Predicate-Based Window
40
2.3 OCEANUS---A Prototype of Spatio-Temporal DSMS
41
2.3.1 The Type System
44
2.4 Operators
46
2.4.1 Lifting Operations to Spatio-Temporal Streaming Data Types
46
2.5 Implementation
48
2.5.1 User-Defined Aggregate Functions
49
2.5.2 SQL-Like Language Embedding: CSQL
52
References
55
3 Spatio-Temporal Data Streams and Big Data Paradigm
58
3.1 Background
58
3.2 MobyDick---A Prototype of Distributed Framework ƒ
61
3.2.1 Data Model
61
3.2.2 Apache Flink
67
3.2.3 Spatio-Temporal Queries
69
3.3 Related Work
72
3.3.1 Distributed Spatial and Spatio-Temporal Batch Systems
73
3.3.2 Centralized DSMS-Based Systems
74
3.3.3 Distributed DSMS-Based Systems
75
3.4 Final Remarks
76
References
77
4 Spatio-Temporal Data Stream Clustering
81
4.1 Introduction
81
4.1.1 Spatio-Temporal Clustering
82
4.2 Data Stream Clustering
86
4.3 Trajectory Stream Clustering
88
4.3.1 Incremental Trajectory Clustering Using Micro- and Macro-Clustering
88
4.3.2 CTraStream
94
4.3.3 Spatial Quincunx Lattices Based Clustering
103
4.4 Bibliographic Notes
109
References
110
Index
114
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