Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Komate Amphawan"'
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 10, p 431 (2023)
Location-based recommender systems (LBRSs) have exhibited significant potential in providing personalized recommendations based on the user’s geographic location and contextual factors such as time, personal preference, and location categories. How
Externí odkaz:
https://doaj.org/article/3ae6e999c3b041f5b9fb339de4c38b20
Publikováno v:
Journal of ICT Research and Applications, Vol 10, Iss 2 (2016)
High utility itemset mining (HUIM) plays an important role in the data mining community and in a wide range of applications. For example, in retail business it is used for finding sets of sold products that give high profit, low cost, etc. These item
Externí odkaz:
https://doaj.org/article/6dd041b0dbb94facab6b7d34bed714e0
Autor:
Peerapon Kamlangpuech, Komate Amphawan
Publikováno v:
2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA).
Publikováno v:
SMA
In the era of data-driven, the fields of mathematics, statistics, computer science, information technology and other computer-related fields have become more popular for students and people. Several universities, institutes and companies start to set
Publikováno v:
SMA
We propose a Korean rap lyrics generation model including rhymes in Korean. Differently from English, Korean syllable consists of two or three combination of consonant and vowel characters. In the rap lyrics, rhyme information is important as well as
Publikováno v:
SMA
Location-Based Recommender Systems (LBRSs) have gained popularity in recent years as users tend to make decisions based on what are shared in social medias. Such systems depend on each user's historical behavioral information (or user profile) to det
Autor:
Peerapon Kamlangpuech, Komate Amphawan
Publikováno v:
2020 7th International Conference on Advance Informatics: Concepts, Theory and Applications (ICAICTA).
With the growth of technology and the changing of human behavior, the fields of Computer Science (CS), Information Technology (IT), and Data Science (DS) become more popular and should be learned by children, students, and people. Consequently, insti
Autor:
Supachai Laoviboon, Komate Amphawan
Publikováno v:
Studies in Big Data ISBN: 9783030049201
High-utility itemset mining (HUIM) currently plays an important role in a wide range of applications and data mining community. Several algorithms, methods and data structures have been proposed to improve efficiency of mining for such itemsets. Besi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc44b995cb05273937e3bef8884576c4
https://doi.org/10.1007/978-3-030-04921-8_7
https://doi.org/10.1007/978-3-030-04921-8_7
Autor:
Komate Amphawan, Bandit Tagmatcha
Publikováno v:
2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA).
In the past decade, frequent-regular itemset mining (FRIM) has been proposed and applied in a wide range of applications. It aims to discover interesting itemsets frequently and regularly occurring in a static database. However, in real-world applica
Publikováno v:
2018 5th International Conference on Advanced Informatics: Concept Theory and Applications (ICAICTA).
On-line selling website is currently famous and popular. There are several websites selling products and/or services including on-line book-selling websites. At present, the current book-selling websites usually apply recommender systems to recommend