A K-means Group Division and LSTM Based Method for Hotel Demand Forecasting

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Forecasting uncertain hotel room demand

Mihir Rajopadhye, Mounir Ben Ghaliay and Paul P. Wang Department of Electrical and Computer Engineering Duke University Durham, North Carolina 27708-0291 Timothy Baker and Craig V. Eister Bass Hotels and Resorts Atlanta, Georgia 30346-2149 Abstract Economic systems are characterized by increasing uncertainty in their dynamics. This increasing uncertainty is likely to incur bad decisions that ca...

متن کامل

Improvement of Demand Forecasting Accuracy: A Method Based on Region-Division

The key factor to increase enterprise profits and reduce the logistic costs is scientific and reasonable logistics demand forecasting, the accuracy of which can directly influence the effect of decision-making for an enterprise. In some instance, a single customer’s demand is irregular, while the demand in a region is comparatively more stable, so it can be better forecasted. In this paper, we ...

متن کامل

A hybrid DEA-based K-means and invasive weed optimization for facility location problem

In this paper, instead of the classical approach to the multi-criteria location selection problem, a new approach was presented based on selecting a portfolio of locations. First, the indices affecting the selection of maintenance stations were collected. The K-means model was used for clustering the maintenance stations. The optimal number of clusters was calculated through the Silhou...

متن کامل

A spectrum comparison method for demand forecasting

Almost all demand forecasting methods work in the time domain. We describe a method that operates in the frequency domain. Using discrete Fourier transform, we decompose a given set of demand data into a set of sine and cosine functions. The Fourier coefficients contain information about the frequencies and amplitudes in these sinusoids and allow us to reconstruct the original given demand data...

متن کامل

Group $K$-Means

We study how to learn multiple dictionaries from a dataset, and approximate any data point by the sum of the codewords each chosen from the corresponding dictionary. Although theoretically low approximation errors can be achieved by the global solution, an effective solution has not been well studied in practice. To solve the problem, we propose a simple yet effective algorithm Group K-Means. S...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Tehnicki Vjesnik-technical Gazette

سال: 2021

ISSN: ['1330-3651', '1848-6339']

DOI: https://doi.org/10.17559/tv-20210507172841