Results 21 to 30 of about 1,878,751 (279)
Mining Human Activity Patterns From Smart Home Big Data for Health Care Applications
IEEE Access, 2017 Nowadays, there is an ever-increasing migration of people to urban areas. Health care service is one of the most challenging aspects that is greatly affected by the vast influx of people to city centers.
Abdulsalam Yassine +2 more
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Multi-step spectrum occupancy prediction method based on association rule mining
Dianzi Jishu Yingyong, 2020 Radio spectrum occupancy prediction is a key technology in cognitive radio research. In the traditional method, only single step size prediction can be performed, and the effect of multi-step size prediction is significantly reduced.
Jing Tong, Ding Wenrui, Liu Chunhui
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Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks
IEEE Access, 2020 Syslog parsing is of vital importance for the detection, diagnosis and prediction of network device failures in a datacenter. A common approach to syslog parsing is to extract templates from historical syslogs, after which syslogs are matched to these ...
Shenglin Zhang +10 more
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Mining Frequent Sequential Patterns [PDF]
Journal of Big Data Research, 2021 In recent times, the urge to collect data and analyze it has grown. Time stamping a data set is an important part of the analysis and data mining as it can give information that is more useful. Different mining techniques have been designed for mining time-series data, sequential patterns for example seeks relationships between occurrences of ...
Rajae KRIBII, Youssef FAKIR
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Sistem Rekomendasi Buku Perpustakaan Menggunakan Algoritma Frequent Pattern Growth
Techno.Com, 2022 Perpustakaan memiliki pelayanan utama memfasilitasi peminjaman buku, untuk memudahkan anggota perpustakaan menemukan buku yang tepat, perpustakaan dapat dilengkapi dengan sistem pencarian buku.
Endang Retnoningsih +1 more
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Mining Frequent Synchronous Patterns based on Item Cover Similarity
International Journal of Computational Intelligence Systems, 2018 In previous work we presented CoCoNAD (Continuous-time Closed Neuron Assembly Detection), a method to find significant synchronous patterns in parallel point processes with the goal to analyze parallel neural spike trains in neurobiology3,9.
Salatiel Ezennaya-Gomez +1 more
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Analisis Sistem Frequent Pattern Growth Untuk Penjualan Produk Herbal
JRST: Jurnal Riset Sains dan Teknologi, 2023 Perkembangan teknologi memberikan dampak yang besar terhadap perkembangan dunia bisnis. Persaingan dalam dunia bisnis sangat ketat sehingga perlu melihat potensi transaksi penjualan produk dan memiliki strategi penjualan produk yang tepat.
Rezi Elsya Putra +3 more
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An Efficient Approach to Mining Maximal Contiguous Frequent Patterns from Large DNA Sequence Databases [PDF]
Genomics & Informatics, 2012 Mining interesting patterns from DNA sequences is one of the most challenging tasks in bioinformatics and computational biology. Maximal contiguous frequent patterns are preferable for expressing the function and structure of DNA sequences and hence can ...
Md. Rezaul Karim +3 more
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On Aircraft Trajectory Type Recognition Based on Frequent Route Patterns [PDF]
Jisuanji kexue, 2021 With the development of global positioning and radar technology,more and more trajectory data can be collected.In particular,trajectories generated by aircrafts,ships,migratory birds are complicated and varied,and free from any constraints on the ground ...
SONG Jia-geng, ZHANG Fu-sang, JIN Bei-hong, DOU Zhu-mei
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Mining Frequent Graph Patterns with Differential Privacy [PDF]
, 2013 Discovering frequent graph patterns in a graph database offers valuable information in a variety of applications. However, if the graph dataset contains sensitive data of individuals such as mobile phone-call graphs and web-click graphs, releasing ...
Geweke J. +5 more
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