Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Dingming Wu"'
Publikováno v:
Big Data Mining and Analytics, Vol 6, Iss 2, Pp 154-169 (2023)
Distributed computing frameworks are the fundamental component of distributed computing systems. They provide an essential way to support the efficient processing of big data on clusters or cloud. The size of big data increases at a pace that is fast
Externí odkaz:
https://doaj.org/article/b3eae79348174454895ca39ca9012701
Autor:
Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu
Publikováno v:
Big Data Mining and Analytics, Vol 3, Iss 1, Pp 56-67 (2020)
This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presented some of the fundamentals and introduced several quantum tools based on known quantum search algorithms. This seco
Externí odkaz:
https://doaj.org/article/f054b0272ae94394baf7cc0ea4245339
Autor:
Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu
Publikováno v:
Big Data Mining and Analytics, Vol 3, Iss 1, Pp 41-55 (2020)
This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presents the fundamentals of qubits, quantum registers, and quantum states, introduces important quantum tools based on kno
Externí odkaz:
https://doaj.org/article/b16ae8cc79954bb48ec530cf9423e6c5
Publikováno v:
IEEE Access, Vol 7, Pp 11796-11808 (2019)
One way of improving the performance of a search engine is increasing the hit ratio of the search engine cache. A common and widely used approach for increasing the hit ratio is a combination of the result cache, the posting list cache, and the inter
Externí odkaz:
https://doaj.org/article/d50bc3d9a8934d0b942e08e1470d5984
Publikováno v:
Entropy, Vol 23, Iss 8, p 1059 (2021)
Time series classification (TSC) is a significant problem in data mining with several applications in different domains. Mining different distinguishing features is the primary method. One promising method is algorithms based on the morphological str
Externí odkaz:
https://doaj.org/article/266736bbfef745ab9a1edd3e017fbb01
Publikováno v:
Entropy, Vol 23, Iss 4, p 440 (2021)
The trend prediction of the stock is a main challenge. Accidental factors often lead to short-term sharp fluctuations in stock markets, deviating from the original normal trend. The short-term fluctuation of stock price has high noise, which is not c
Externí odkaz:
https://doaj.org/article/5cf5cfee6d3d4c989f6cc90fcb396cf5
Publikováno v:
Entropy, Vol 22, Iss 10, p 1162 (2020)
Time series prediction has been widely applied to the finance industry in applications such as stock market price and commodity price forecasting. Machine learning methods have been widely used in financial time series prediction in recent years. How
Externí odkaz:
https://doaj.org/article/19d852869ada473c8f1ffe50d613e94d
Publikováno v:
Entropy, Vol 22, Iss 1, p 119 (2020)
Event-based social networks (EBSNs) are widely used to create online social groups and organize offline events for users. Activeness and loyalty are crucial characteristics of these online social groups in terms of determining the growth or inactiven
Externí odkaz:
https://doaj.org/article/2b8dfaa29d4d4afdba43671de748275f
Publikováno v:
PLoS ONE, Vol 8, Iss 9, p e74275 (2013)
DNA methylation is vital for many essential biological processes and human diseases. Illumina Infinium HumanMethylation450 Beadchip is a recently developed platform studying genome-wide DNA methylation state on more than 480,000 CpG sites and a few C
Externí odkaz:
https://doaj.org/article/4cdf5572fd544ef7bc674dbd13f9c257
Autor:
Christian S. Jensen, Song Wu, Kezhong Lu, Hao Zhou, Ilkcan Keles, Simonas Šaltenis, Dingming Wu
Publikováno v:
Wu, D, Keles, I, Wu, S, Zhou, H, Saltenis, S, Jensen, C S & Lu, K 2022, ' Density-Based Top-K Spatial Textual Clusters Retrieval ', IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 11, pp. 5263-5277 . https://doi.org/10.1109/TKDE.2021.3049785
So-called spatial web queries retrieve web content representing points of interest, such that the points of interest have descriptions that are relevant to query keywords and are located close to a query location. Two broad categories of such queries
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17e51b24aacf158a7a2b18b974d3aa51
https://doi.org/10.1109/tkde.2021.3049785
https://doi.org/10.1109/tkde.2021.3049785