Results 31 to 40 of about 26,646,267 (236)
A Survey of Distributed Data Stream Processing Frameworks
IEEE Access, 2019 Big data processing systems are evolving to be more stream oriented where each data record is processed as it arrives by distributed and low-latency computational frameworks on a continuous basis.
Haruna Isah +5 more
semanticscholar +1 more source
Chinese Scientific Literature Annotation Method Based on Large Language Model [PDF]
Jisuanji gongchengHigh-quality annotated data are crucial for Natural Language Processing(NLP) tasks in the field of Chinese scientific literature. A method of annotation based on a Large Language Model(LLM) was proposed to address the lack of high-quality annotated ...
YANG Dongju, HUANG Juntao
doaj +1 more source
Introducing Polyglot-Based Data-Flow Awareness to Time-Series Data Stores
IEEE Access, 2022 The rising interest in extracting value from data has led to a broad proliferation of monitoring infrastructures, most notably composed by sensors, intended to collect this new oil.
Carlos Garcia Calatrava +2 more
doaj +1 more source
Data stream mining: methods and challenges for handling concept drift
SN Applied Sciences, 2019 Mining and analysing streaming data is crucial for many applications, and this area of research has gained extensive attention over the past decade. However, there are several inherent problems that continue to challenge the hardware and the state-of-the
Scott Wares, J. Isaacs, E. Elyan
semanticscholar +1 more source
The Dataset Finder: A Tool Utilizing Data Management Plans as a Key to Data Discoverability
Data Science JournalIn the past years, there has been an increased interest in sharing and reusing research data. While the importance of sharing data is urgent for enabling collaboration, many research projects are currently struggling with setting up a strategy and the ...
Soo-Yon Kim +4 more
doaj +1 more source
Annotations in Data Streams [PDF]
ACM Transactions on Algorithms, 2014 The central goal of data stream algorithms is to process massive streams of data using sublinear storage space. Motivated by work in the database community on outsourcing database and data stream processing, we ask whether the space usage of such algorithms can be further reduced by enlisting a more powerful “helper”
Chakrabarti, Amit +3 more
openaire +2 more sources
Benchmarking Distributed Stream Data Processing Systems
, 2019 The need for scalable and efficient stream analysis has led to the development of many open-source streaming data processing systems (SDPSs) with highly diverging capabilities and performance characteristics.
Heiskanen, Henri +5 more
core +2 more sources
Processing count queries over event streams at multiple time granularities [PDF]
, 2006 Management and analysis of streaming data has become crucial with its applications in web, sensor data, network tra c data, and stock market. Data streams consist of mostly numeric data but what is more interesting is the events derived from the ...
Saygın, Yücel +2 more
core +1 more source
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression [PDF]
IEEE transactions on fuzzy systems, 2018 Data stream has been the underlying challenge in the age of big data because it calls for real-time data processing with the absence of a retraining process and/or an iterative learning approach. In the realm of the fuzzy system community, data stream is
Md Meftahul Ferdaus +3 more
semanticscholar +1 more source
Cross-Company Data Sharing Using Distributed Analytics
SystemsDecision making in modern supply chain management relies heavily on data-driven decision support. Companies show a growing interest in building insights not only on data from within the company’s own boundaries, but also from collaborators and other ...
Soo-Yon Kim +4 more
doaj +1 more source