Results 21 to 30 of about 19,323 (117)

MISFP-Growth: Hadoop-Based Frequent Pattern Mining with Multiple Item Support

Applied Sciences, 2019
In practice, single item support cannot comprehensively address the complexity of items in large datasets. In this study, we propose a big data analytics framework (named Multiple Item Support Frequent Patterns, MISFP-growth algorithm) that uses Hadoop ...
Chen-Shu Wang, Jui-Yen Chang
doaj   +1 more source

Recursive Queried Frequent Patterns Algorithm: Determining Frequent Pattern Sets from Database

Information
Frequent pattern mining is a fundamental method for Data Mining, applicable in market basket analysis, recommendation systems, and academic analytics. Widely adopted and foundational algorithms such as Apriori and FP-Growth, which represent the standard ...
Ishtiyaq Ahmad Khan, Hsin-Yuan Chen, Shamneesh Sharma, Chetan Sharma   +3 more
doaj   +1 more source

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
doaj   +1 more source

Theoretical Properties of Closed Frequent Itemsets in Frequent Pattern Mining

Mathematics
Closed 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, Hui Li, Yumei Li, Guangqiang Teng, Xianbing Cao   +4 more
doaj   +1 more source

Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining. [PDF]

BMC Bioinformatics, 2009
Background Many studies report about detection and functional characterization of cis-regulatory motifs in untranslated regions (UTRs) of mRNAs but little is known about the nature and functional role of their distribution.
Turi A, Loglisci C, Salvemini E, Grillo G, Malerba D, D'Elia D.   +5 more
europepmc   +2 more sources

Proof Learning in PVS With Utility Pattern Mining

IEEE Access, 2020
Interactive theorem provers (ITPs) are software tools that allow human users to write and verify formal proofs. In recent years, an emerging research area in ITPs is proof mining, which consists of identifying interesting proof patterns that can be used ...
M. Saqib Nawaz, Philippe Fournier-Viger, Ji Zhang   +2 more
doaj   +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, Z. W. Liu, B. Wei, B. Wei, C. L. Kang, C. L. Kang, J. W. Jiang, J. W. Jiang   +7 more
doaj   +1 more source

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, Zongshun Tian, Yanqing Xu, Kaichun Zhou   +3 more
doaj   +1 more source

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
doaj   +2 more sources

Grasping frequent subgraph mining for bioinformatics applications

BioData Mining, 2018
Searching for interesting common subgraphs in graph data is a well-studied problem in data mining. Subgraph mining techniques focus on the discovery of patterns in graphs that exhibit a specific network structure that is deemed interesting within these ...
Aida Mrzic, Pieter Meysman, Wout Bittremieux, Pieter Moris, Boris Cule, Bart Goethals, Kris Laukens   +6 more
doaj   +1 more source