Cloud‐based data streams optimization
Sign Up to like & getrecommendations! Published in 2018 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1247
Abstract: Many modern applications of sensor networks and transaction analysis require real‐time processing of their stream data sets. These data streams vary continuously over time. Current stream processing approaches focus on only one of the two… read more here.
Keywords: data streams; stream; cloud environment; optimization ... See more keywords
Periodicity in Data Streams with Wildcards
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DOI: 10.1007/s00224-019-09950-y
Abstract: We investigate the problem of detecting periodic trends within a string S of length n , arriving in the streaming model, containing at most k wildcard characters, where k = o ( n ). A… read more here.
Keywords: data streams; periodicity data; space; wildcard characters ... See more keywords
Discovery of evolving companion from trajectory data streams
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DOI: 10.1007/s10115-020-01471-2
Abstract: The widespread use of position-tracking devices leads to vast volumes of spatial–temporal data aggregated in the form of the trajectory data streams. Extracting useful knowledge from moving object trajectories can benefit many applications, such as… read more here.
Keywords: data streams; evolving companion; group; trajectory data ... See more keywords
SPPC: a new tree structure for mining erasable patterns in data streams
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DOI: 10.1007/s10489-018-1280-5
Abstract: Discovering Erasable Patterns (EPs) consists of identifying product parts that will produce a small profit loss if their production is stopped. It is a data mining problem that has attracted the attention of numerous researchers… read more here.
Keywords: data streams; erasable patterns; mining; algorithms ... See more keywords
An accurate estimation algorithm for big data streams
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DOI: 10.1007/s10619-018-7225-5
Abstract: Sketch is a memory-efficient data structure, and is used to store and query the frequency of any item in a given multiset. As it can achieve fast query and update, it has been applied to… read more here.
Keywords: big data; data streams; estimation; algorithm big ... See more keywords
Online sequential ensembling of predictive fuzzy systems
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DOI: 10.1007/s12530-021-09398-x
Abstract: Evolving fuzzy systems (EFS) have enjoyed a wide attraction in the community to handle learning from data streams in an incremental, single-pass and transparent manner. The main concentration so far lied in the development of… read more here.
Keywords: data streams; fuzzy systems; online sequential; single efs ... See more keywords
StreamSW: A density-based approach for clustering data streams over sliding windows
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DOI: 10.1016/j.measurement.2018.11.041
Abstract: Abstract Density-based clustering is a prominent and an essential technique in mining data streams. It can discover clusters of arbitrary or irregular shape and handle noisy data. This paper presents StreamSW, a new density-based approach… read more here.
Keywords: approach clustering; density based; data streams; density ... See more keywords
The prior probability in the batch classification of imbalanced data streams
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DOI: 10.1016/j.neucom.2019.11.126
Abstract: Abstract In the diversity of contemporary decision-making tasks, where the data is no longer static and changes over time, data stream processing has become an important issue in the field of pattern recognition. In addition,… read more here.
Keywords: data streams; batch classification; probability batch; classification imbalanced ... See more keywords
Long short-term memory self-adapting online random forests for evolving data stream regression
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DOI: 10.1016/j.neucom.2021.05.026
Abstract: Abstract Evolving data stream, especially with concept drift is generally accepted as a challenging data type for regression task, because it usually makes machine learning models trained on old data not adapting to new data,… read more here.
Keywords: regression; term; memory; data streams ... See more keywords
MIDAS: Open-source framework for distributed online analysis of data streams
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DOI: 10.1016/j.softx.2018.04.004
Abstract: Abstract Data streams are pervasive but implementing online analysis of streaming data is often nontrivial as data streams can have different, domain-specific formats. Regardless of the stream, the analysis task is essentially the same: features… read more here.
Keywords: data streams; midas open; online analysis; distributed online ... See more keywords
Online monitoring of big data streams: A rank-based sampling algorithm by data augmentation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Quality Technology"
DOI: 10.1080/00224065.2019.1681924
Abstract: Abstract In many applications of modern quality control, process monitoring involves a large number of process variables and quality characteristics. Practitioners are desired to attain complete information about the process in order to assure quick… read more here.
Keywords: data streams; monitoring big; big data; rank based ... See more keywords