Results 31 to 40 of about 23,652 (302)
Theoretical Properties of Closed Frequent Itemsets in Frequent Pattern Mining
MathematicsClosed frequent itemsets (CFIs) play a crucial role in frequent pattern mining by providing a compact and complete representation of all frequent itemsets (FIs).
Huina Zhang +4 more
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AprioriAllPkg: A Python package for mining sequential patterns
SoftwareXThis work presents a software package designed to support transparency, education, and methodological reproducibility in sequential pattern mining.
Aleksander Kruczkowski, Pawel Weichbroth
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Sequence Mining Based Alarm Suppression
IEEE Access, 2018 Despite the high-pace improvement of industrial process automation, the management of abnormal events still requires human actions. Alarm systems are becoming crucial in providing situation-specific information to the decreasing number of operators.
Gyula Dorgo, Janos Abonyi
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Pattern Mining in Frequent Dynamic Subgraphs [PDF]
Sixth International Conference on Data Mining (ICDM'06), 2006 Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowledge. While current data mining deals with static graphs that do not change over time, coming years will see the advent of an increasing number of time series of graphs.
Karsten M. Borgwardt +2 more
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Frequent Pattern Mining for IoT Big Streaming Data Based on Short-Pattern Graph
Big Data Mining and AnalyticsInternet of things (IoT) technology is important in the era of big data, and in most IoT scenarios, data are constantly arriving in the form of streams.
Guang Yang, Xia Wu, Jing Zhang
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Mining Frequent Route Patterns Based on Personal Trajectory Abstraction
IEEE Access, 2017 Frequent route pattern mining from personal trajectory data is the basis of location awareness and location services. However, because personal trajectory data is highly uncertain, most existing approaches are only capable of finding short and incomplete
Zhongliang Fu +3 more
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A Reconfigurable Platform for Frequent Pattern Mining [PDF]
2008 International Conference on Reconfigurable Computing and FPGAs, 2008 In this paper, a new hardware architecture for frequent pattern mining based on a systolic tree structure is proposed. The goal of this architecture is to mimic the internal memory layout of the original FP-growth algorithm while achieving a much higher throughput.
Song Sun +2 more
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Survey of differential privacy in frequent pattern mining
Tongxin xuebao, 2014 Frequent pattern mining is an exploratory problem in the field of data mining.However,directly releasing the discovered frequent patterns and the corresponding true supports may reveal the individuals’ privacy.The state-of-the-art solution for this ...
Li-ping DING, Guo-qing LU
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The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
Molecular Oncology, EarlyView.The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
wiley +1 more source
THE IMPLEMENTATION OF HESITANT FUZZY SPATIAL CO-LOCATION PATTERN MINING ALGORITHM BASED ON PYTHON [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 As one of the important research directions in the spatial data mining, spatial co-location pattern mining aimed at finding the spatial features whose the instances are frequent co-locate in neighbouring domain.
Z. W. Liu +7 more
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