Search Results - subject:"Sequential Data"

Convolutional signature for sequential data

Min, Ming; Ichiba, Tomoyuki - In: Digital finance : smart data analytics, investment … 5 (2023) 1, pp. 3-28

Persistent link: https://www.econbiz.de/10014251565

Hierarchical RNN-based framework for throughput prediction in automotive production systems

Chen, Mengfei; Furness, Richard; Gupta, Rajesh; … - In: International journal of production research 62 (2024) 5, pp. 1699-1714

Persistent link: https://www.econbiz.de/10014546268

Novel next-group recommendation approach based on sequential market basket information

Ma, Li-Ching - In: Electronic commerce research 23 (2023) 4, pp. 2399-2418

Persistent link: https://www.econbiz.de/10014418172

Ranking of Evaluation Targets Based on Complex Sequential Data

Sakurai, Shigeaki - In: International Journal of Data Warehousing and Mining (IJDWM) 13 (2017) 4, pp. 19-32

This paper proposes a method that arranges evaluation targets based on their complex sequential data. The data is … composed of numerical one and text one. This method focuses on both change ratios of the numerical sequential data and the … occupation ratios of the text sequential data. It generates a ranking model of the evaluation targets. The model can extract …

Persistent link: https://www.econbiz.de/10012044234

Surprised by the gambler's and hot hand fallacies? : a truth in the law of small numbers

Miller, Joshua B.; Sanjurjo, Adam - 2016 - This version: November 15, 2016

Persistent link: https://www.econbiz.de/10011809321

A decision support system for identification of technology innovation risk based on sequential CBR

Xiao, Quan - In: International journal of information technology and … 18 (2019) 1, pp. 47-62

Persistent link: https://www.econbiz.de/10012056925

Mining categorical sequences from data using a hybrid clustering method

De Angelis, Luca; Dias, José G. - In: European Journal of Operational Research 234 (2014) 3, pp. 720-730

The identification of different dynamics in sequential data has become an every day need in scientific fields such as …

Persistent link: https://www.econbiz.de/10010871134

Mining categorical sequences from data using hybrid clustering method

De Angelis, Luca; Dias, José G. - In: European journal of operational research : EJOR 234 (2014) 3, pp. 720-730

Persistent link: https://www.econbiz.de/10010360427

A novel group ranking model for revealing sequence and quantity knowledge

Huang, Tony Cheng-kui - In: European journal of operational research : EJOR 231 (2013) 3, pp. 654-666

Persistent link: https://www.econbiz.de/10009787361

Forecasting Non-Stationary Volatility with Hyper-Parameters

Bengio, Yoshua; Dugas, Charles - Centre Interuniversitaire de Recherche en Analyse des … - 2002

We consider sequential data that is sampled from an unknown process, so that the data are not necessarily iid. We …

Persistent link: https://www.econbiz.de/10005417575