Results 21 to 30 of about 659,665 (262)
Reducing the Frequent Pattern Set [PDF]
Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006 One of the major problems in frequent pattern mining is the explosion of the number of results, making it difficult to identify the interesting frequent patterns. In a recent paper [7] we have shown that an MDL-based approach gives a dramatic reduction of the number of frequent item sets to consider.
Bathoorn, R.W. +2 more
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User Identification across Asynchronous Mobility Trajectories
Sensors, 2019 With the popularity of location-based services and applications, a large amount of mobility data has been generated. Identification through mobile trajectory information, especially asynchronous trajectory data has raised great concerns in social ...
Mengjun Qi +3 more
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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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Recursive Queried Frequent Patterns Algorithm: Determining Frequent Pattern Sets from Database
InformationFrequent 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 +3 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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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 +2 more
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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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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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Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery, 1999 Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent itemsets, i.e., all combinations of items that are found in a sufficient number of examples.
Luc Dehaspe, Hannu Toivonen
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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 +4 more
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