得意人
发表于 2025-3-28 14:58:58
Textbook 2016frequent itemsets). Part III discusses a number of advanced topics on stream processingalgorithms, and Part IV focuses on system and language aspects of data stream processing with surveys of influential system prototypes and language designs. Part V then presents some representative applications of
falsehood
发表于 2025-3-28 19:47:01
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Mindfulness
发表于 2025-3-29 00:49:07
Attilio Nebuloni,Giorgio Vignatin time instant and window size refers to N. This chapter presents a general technique, called the Exponential Histogram (EH) technique, that can be used to solve a wide variety of problems in the sliding-window model; typically problems that require us to maintain statistics. We will showcase this t
相符
发表于 2025-3-29 05:43:26
Masatoshi Hamanaka,Keiji Hirata,Satoshi Tojothis chapter, we provide a brief introduction to the distributed data streaming model and the Geometric Method (GM), a generic technique for effectively tracking complex queries over massive distributed streams. We also discuss several recently-proposed extensions to the basic GM framework, such as
产生
发表于 2025-3-29 08:42:05
Data Stream Management: A Brave New World,ry chapter, we provide a brief summary of some basic data streaming concepts and models, and discuss the key elements of a generic stream query processing architecture. We then give a short overview of the contents of this volume.
壮丽的去
发表于 2025-3-29 13:37:49
The Sliding-Window Computation Model and Resultsn time instant and window size refers to N. This chapter presents a general technique, called the Exponential Histogram (EH) technique, that can be used to solve a wide variety of problems in the sliding-window model; typically problems that require us to maintain statistics. We will showcase this t
COLON
发表于 2025-3-29 16:44:06
Tracking Queries over Distributed Streamsthis chapter, we provide a brief introduction to the distributed data streaming model and the Geometric Method (GM), a generic technique for effectively tracking complex queries over massive distributed streams. We also discuss several recently-proposed extensions to the basic GM framework, such as
CLASH
发表于 2025-3-29 20:41:21
Data Stream Management978-3-540-28608-0Series ISSN 2197-9723 Series E-ISSN 2197-974X
纤细
发表于 2025-3-30 02:48:49
https://doi.org/10.1007/978-3-319-60919-5am problems studied: In the mid-1980’s, Flajolet and Martin gave an effective algorithm that uses only logarithmic space. Recent work has built upon their technique, improving the accuracy guarantees on the estimation, proving lower bounds, and considering other settings such as sliding windows, distributed streams, and sensor networks.
defeatist
发表于 2025-3-30 04:58:51
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