Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Musa Milli"'
Autor:
Hasan Bulut, Musa Milli
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 22, Iss 2, Pp 123-128 (2016)
Companies, in particular e-commerce companies, aims to increase customer satisfaction, hence in turn increase their profits, using recommender systems. Recommender Systems are widely used nowadays and they provide strategic advantages to the companie
Externí odkaz:
https://doaj.org/article/a5dbbb4dee994683a6cf1de32d0abef9
Autor:
Hasan BULUT, Musa MİLLİ
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 22, Iss 2, Pp 123-128 (2016)
Firmalar, özellikle e-ticaret firmaları, öneri sistemleri kullanarak müşteri memnuniyetini, dolayısı ile karlılıklarını artırmayı hedeflemektedirler. Günümüzde Öneri Sistemleri yaygın olarak kullanılmakta ve bunları kullanan firma
Externí odkaz:
https://doaj.org/article/0ce327e08d2d450ea678741bdc11213d
Autor:
Musa Milli, Mehmet Milli
Publikováno v:
Data Science with Semantic Technologies ISBN: 9781003310785
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6150755020acc38c2cf41e43e7d1d1a1
https://doi.org/10.1201/9781003310785-2
https://doi.org/10.1201/9781003310785-2
Autor:
Fatmana Şentürk, Musa Milli
Publikováno v:
Data Science with Semantic Technologies ISBN: 9781003310792
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89d7fb4b2d5f2c30dee8ba5c8dc5c4e7
https://doi.org/10.1201/9781003310792-8
https://doi.org/10.1201/9781003310792-8
Autor:
Musa Milli, Hasan Bulut
Real-time stream data processing has gained high importance with the rapid rise of big data trends in different areas such as social media, finance, business, science, and bioinformatics. Stream data can be characterized as fast, unstable, and big da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6562f4a71797be1ab6dda9590f1ea327
https://hdl.handle.net/11454/75890
https://hdl.handle.net/11454/75890
WOS:000576688100001 Recently, the use of sensor-based systems in many areas has led to an exponential increase in the raw sensor data. However, the lack of neither syntactic nor semantic integrity between these sensor data limited their sharing, reus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aba03b153243ae87d388d7914dc61a6
https://hdl.handle.net/11454/62870
https://hdl.handle.net/11454/62870
Publikováno v:
SIU
28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR NETWORK
The increasing number of wireless sensor networks, which are used extensively in industrial areas, has led to a tremendous increase in t
The increasing number of wireless sensor networks, which are used extensively in industrial areas, has led to a tremendous increase in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc640c800f697b4fca2ce722f97033ac
https://hdl.handle.net/11454/79179
https://hdl.handle.net/11454/79179
Autor:
Musa Milli, Hasan Bulut
Publikováno v:
Intelligent Automation & Soft Computing. 23:261-269
Recommender systems are widely used in industry and are still active research areas in academia. For many businesses, they have become indispensable business tools. Producing accurate results for such systems is important for the operations of the bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87a2a73b61f76869b51e73d8504d6123
https://doi.org/10.1080/10798587.2016.1204776
https://doi.org/10.1080/10798587.2016.1204776