Results 21 to 30 of about 648,662 (306)

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, Ying Liu, Weibin Meng, Jiahao Bu, Sen Yang, Yongqian Sun, Dan Pei, Jun Xu, Yuzhi Zhang, Lei Song, Ming Zhang   +10 more
doaj   +1 more source

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, Christian Borgelt   +1 more
doaj   +1 more source

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, Asmar Yulastri, Genefri Genefri, Mohd Iqbal   +3 more
doaj   +1 more source

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, Tia Monisya Afriyanti   +1 more
doaj   +1 more source

Mining frequent closed itemsets with the frequent pattern list [PDF]

Proceedings 2001 IEEE International Conference on Data Mining, 2002
The mining of a complete set of frequent itemsets will lead to a huge number of itemsets. Fortunately, this problem can be reduced to the mining of frequent closed itemsets (FCIs), which results in a much smaller number of itemsets. The approaches to mining frequent closed itemsets can be categorized into two groups: those with candidate generation and
Tseng, Fan-Chen, Hsu, Ching-Chi, Chen, Henry   +2 more
openaire   +2 more sources

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

Mining frequent patterns in process models [PDF]

Information Sciences, 2019
Process mining has emerged as a way to analyze the behavior of an organization by extracting knowledge from event logs and by offering techniques to discover, monitor and enhance real processes. In the discovery of process models, retrieving a complex one, i.e., a hardly readable process model, can hinder the extraction of information.
David Chapela-Campa, Manuel Mucientes, Manuel Lama   +2 more
openaire   +2 more sources

A User Identification Algorithm Based on User Behavior Analysis in Social Networks

IEEE Access, 2019
The precision of the conventional user identification algorithm is not satisfactory because it ignores the role of user-generated data in identity matching.
Kaikai Deng, Ling Xing, Longshui Zheng, Honghai Wu, Ping Xie, Feifei Gao   +5 more
doaj   +1 more source

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, Md. Mamunur Rashid, Byeong-Soo Jeong, Ho-Jin Choi   +3 more
doaj   +1 more source

Frequent-pattern discovering algorithm for large-scale corpus

Tongxin xuebao, 2007
A memory-based frequent-pattern discovering algorithm for large-scale corpus was presented.First,the origi-nal corpus was partitioned into several parts using appropriate dividing policy.Then each partition was processed inde-pendently to produce a ...
GONG Cai-chun1, HE Min1, CHEN Hai-qiang1, XU Hong-bo1, CHENG Xue-qi1   +4 more
doaj   +2 more sources