Results 31 to 40 of about 43,860 (295)
Designing a Personalized Service Model with an Approach to Recommender System in Astan-e Quds-e Razavi Digital Library Software [PDF]
کتابداری و اطلاعرسانی, 2020 Objective: This research aims to present the design of the applied model in the field of personalization Thechnology of the Digital Library of Astan-e Quds-e Razavi based on the Basket Analysis pattern (association rules) and the FP-Growth algorithm ...
Samaneh Ghafarian +4 more
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Badminton player scouting analysis using Frequent Pattern growth (FP-growth) algorithm
Journal of Physics: Conference Series, 2020 Abstract FP Growth algorithm is widely used to analyze patterns from a huge amount of data with (frequent) repeated items. The objective of this research is to analyze playing pattern a badminton player, one of a popular sport in Indonesia. The data set was generated from a technical stroke during the game.
L Ardiantoro, N Sunarmi
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International Journal of Engineering and Computer Science Applications (IJECSA), 2023 Stock inventory is one of the important work activities, because stock inventory is the main element in the field of commerce. Mistakes regarding stock inventory will result in fatal problems, especially when stock inventory management is still done manually or improper stock inventory planning can cause the amount of stock to pile up due to the small ...
Christofer Satria +1 more
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Analisis Pemilihan Warna Cat Dinding dengan Metode Data Mining Berdasarkan Kepribadian Pengguna
Komputika, 2022 – A personality test or so-called psychotest is an activity of measuring through a systematic stage to reveal certain psychological aspects of the individual. One of the most accurate personality tests is the MBTI (Myer Briggs Type Indicator).
Supangat Supangat, Titasari Rahmawati
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An improvement of FP-Growth association rule mining algorithm based on adjacency table
MATEC Web of Conferences, 2018 FP-Growth algorithm is an association rule mining algorithm based on frequent pattern tree (FP-Tree), which doesn’t need to generate a large number of candidate sets.
Yin Ming +3 more
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APRICOIN: An Adaptive Approach for Prioritizing High-Risk Containers Inspections
IEEE Access, 2017 Risk evaluation of the containers remains a difficult task, often due to incomplete or ambiguous information on containers. In addition, the evaluation process needs to be adapted on an ongoing basis to cope with emerging risk factors.
Mohamed Yassine Samiri +5 more
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A New Fast Vertical Method for Mining Frequent Patterns [PDF]
International Journal of Computational Intelligence Systems, 2010 Vertical mining methods are very effective for mining frequent patterns and usually outperform horizontal mining methods. However, the vertical methods become ineffective since the intersection time starts to be costly when the cardinality of tidset (tid-
Zhihong Deng, Zhonghui Wang
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Association rule with frequent pattern growth algorithm for frequent item sets mining
Applied Mathematical Sciences, 2014 Frequent item sets mining from the transaction dataset is one of the most challenging problems in data mining approaches. In many real world scenarios, the information is not extracted from a single data source, but from distributed and heterogeneous ones.
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Mining Productive-Associated Periodic-Frequent Patterns in Body Sensor Data for Smart Home Care
Sensors, 2017 The understanding of various health-oriented vital sign data generated from body sensor networks (BSNs) and discovery of the associations between the generated parameters is an important task that may assist and promote important decision making in ...
Walaa N. Ismail, Mohammad Mehedi Hassan
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PENERAPAN DATA MINING UNTUK ANALISIS MARKET BASKET DENGAN ALGORITMA FP-GROWTH PADA PD PASAR TOHAGA
Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 2020 Sales data in 3 different shops (shop, Shop Maker Fernando and Son) at Tohaga Market in the form of PD book transactions are only seen in the absence of follow-up to determine the decision on who will come.
Rusnandi Rusnandi +2 more
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