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2022
This book is mainly intended for researchers. All the chapters in this book are contributed by active researchers in the research disciplines of business process management, process mining, and process querying.
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This book is mainly intended for researchers. All the chapters in this book are contributed by active researchers in the research disciplines of business process management, process mining, and process querying.
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Proceedings of the VLDB Endowment, 2019
Many applications ingest data in an intermittent, yet largely predictable, pattern. Existing systems tend to ignore how data arrives when making decisions about how to update (or refresh) an ongoing query. To address this shortcoming we propose a new query processing paradigm, Intermittent Query Processing (IQP), that bridges query execution and ...
Dixin Tang +4 more
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Many applications ingest data in an intermittent, yet largely predictable, pattern. Existing systems tend to ignore how data arrives when making decisions about how to update (or refresh) an ongoing query. To address this shortcoming we propose a new query processing paradigm, Intermittent Query Processing (IQP), that bridges query execution and ...
Dixin Tang +4 more
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2009
Data Streams are infinite in nature. As a result, a query that executes over data streams specifies a ‘‘window’’ of focus or the part of the data stream that is of interest to the query. When new data items arrive into the data stream, the window may either expand or slide to allow the query to process these new data items.
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Data Streams are infinite in nature. As a result, a query that executes over data streams specifies a ‘‘window’’ of focus or the part of the data stream that is of interest to the query. When new data items arrive into the data stream, the window may either expand or slide to allow the query to process these new data items.
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2016 IEEE 32nd International Conference on Data Engineering Workshops (ICDEW), 2016
Robust query processing, a long-standing problem, is about performance, predictability and ability to avoid sudden disruptions in performance. While query optimizer being an important component of query processing, my thesis focuses on query optimizer robustness which is mainly plagued with the problem of cardinality mis-estimates. Moreover, it is well
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Robust query processing, a long-standing problem, is about performance, predictability and ability to avoid sudden disruptions in performance. While query optimizer being an important component of query processing, my thesis focuses on query optimizer robustness which is mainly plagued with the problem of cardinality mis-estimates. Moreover, it is well
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2011 IEEE 27th International Conference on Data Engineering, 2011
In the context of data management, robustness is usually associated with resilience against failure, recovery, redundancy, disaster preparedness, etc. Robust query processing, on the other hand, is about robustness of performance and of scalability. It is more than progress reporting or predictability.
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In the context of data management, robustness is usually associated with resilience against failure, recovery, redundancy, disaster preparedness, etc. Robust query processing, on the other hand, is about robustness of performance and of scalability. It is more than progress reporting or predictability.
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2011
We first present our LUPOSDATE system, including its indexing methods for data management and query engines for query evaluation. Afterward, we describe the different phases of query processing performed by these query engines on a high-level basis. In this chapter, we describe the phase of eliminating redundant language constructs of SPARQL queries in
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We first present our LUPOSDATE system, including its indexing methods for data management and query engines for query evaluation. Afterward, we describe the different phases of query processing performed by these query engines on a high-level basis. In this chapter, we describe the phase of eliminating redundant language constructs of SPARQL queries in
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Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
IEEE Transactions on Circuits and Systems for Video Technology, 2023Sissi Wang, Xiao Wang, Bo Jiang
exaly
Proceedings of the International Conference on Computer Applications — Database Systems, 2010
Vandana Jindal, Anil Kumar Verma
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Vandana Jindal, Anil Kumar Verma
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