A Survey on Multi-Label Data Stream Classification
IEEE Access, 2020 Nowadays, many real-world applications of our daily life generate massive volume of streaming data at a higher speed than ever before, to name a few, Web clicking data streams, sensor network data and credit transaction streams.
Xiulin Zheng +3 more
semanticscholar +1 more source
A fast framework construction and visualization method for particle-based fluid
EURASIP Journal on Image and Video Processing, 2017 Fast and vivid fluid simulation and visualization is a challenge topic of study in recent years. Particle-based simulation method has been widely used in the art animation modeling and multimedia field.
Fengquan Zhang +4 more
doaj +1 more source
Emergency logistics scheduling with multiple supply-demand points based on grey interval
Journal of Safety Science and Resilience, 2022 This study aimed to address the problem of post-disaster emergency material dispatching from multiple supply points to multiple demand points. In large-scale natural disasters, it is very important for multiple emergency material supply points to serve ...
Zhiming Ding +4 more
doaj +1 more source
Learning from Ontology Streams with Semantic Concept Drift [PDF]
, 2017 Data stream learning has been largely studied for extracting knowledge structures from continuous and rapid data records. In the semantic Web, data is interpreted in ontologies and its ordered sequence is represented as an ontology stream.
Chen, Huajun +3 more
core +4 more sources
Efficient Data Perturbation for Privacy Preserving and Accurate Data Stream Mining [PDF]
Pervasive and Mobile Computing, 2018 The widespread use of the Internet of Things (IoT) has raised many concerns, including the protection of private information. Existing privacy preservation methods cannot provide a good balance between data utility and privacy, and also have problems ...
Pathum Chamikara Mahawaga Arachchige +4 more
semanticscholar +1 more source
Stream VByte: Faster Byte-Oriented Integer Compression [PDF]
, 2017 Arrays of integers are often compressed in search engines. Though there are many ways to compress integers, we are interested in the popular byte-oriented integer compression techniques (e.g., VByte or Google's Varint-GB). They are appealing due to their
Kurz, Nathan +2 more
core +2 more sources
Big data stream analysis: a systematic literature review
Journal of Big Data, 2019 Recently, big data streams have become ubiquitous due to the fact that a number of applications generate a huge amount of data at a great velocity. This made it difficult for existing data mining tools, technologies, methods, and techniques to be applied
T. Kolajo, O. Daramola, A. Adebiyi
semanticscholar +1 more source
“Metrology” Approach to Data Streams Initiated by Internet Services in the Local Networks
Computers, 2022 The paper presents the results of an experimental investigation and statistical analysis of the data streams generated by popular Internet services.
Nina A. Filimonova +2 more
doaj +1 more source
Data Provenance and Management in Radio Astronomy: A Stream Computing Approach [PDF]
, 2011 New approaches for data provenance and data management (DPDM) are required for mega science projects like the Square Kilometer Array, characterized by extremely large data volume and intense data rates, therefore demanding innovative and highly efficient
Biem, Alain +4 more
core +2 more sources
A Holistic Scalability Strategy for Time Series Databases Following Cascading Polyglot Persistence
Big Data and Cognitive Computing, 2022 Time series databases aim to handle big amounts of data in a fast way, both when introducing new data to the system, and when retrieving it later on.
Carlos Garcia Calatrava +2 more
doaj +1 more source