Fangyu Ye¹, Xiaoshu Xu^2,*, Yunfeng Zhang³, Yan Ye⁴, Jingyu Dai^5,*

Intelligent Automation & Soft Computing, Vol.38, No.1, pp. 101-101, 2023, DOI:10.32604/iasc.2023.045930

Abstract This article has no abstract. More >

Peng Cheng^1,2,*

Journal on Big Data, Vol.5, pp. 69-84, 2023, DOI:10.32604/jbd.2023.046294

Abstract To serve as a reference for future foreign tourism study, relevant tourist sectors have done in-depth investigations on foreign tourism both domestically and internationally. A study of outbound tourism activities from the viewpoint of tourists can examine its development law and create successful marketing tactics based on the rise in the number of foreign tourists. Based on this, this study suggests a data mining technique to examine the variations in travel needs and marketing tactics among various consumer groups. The combined example analysis demonstrates how logical and useful our data mining analysis is. Our data tests demonstrate that the tourism… More >

Tahir Sher¹, Abdul Rehman², Dongsun Kim^2,*, Imran Ihsan¹

CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 2979-2995, 2023, DOI:10.32604/cmc.2023.036553

Abstract The rise or fall of the stock markets directly affects investors’ interest and loyalty. Therefore, it is necessary to measure the performance of stocks in the market in advance to prevent our assets from suffering significant losses. In our proposed study, six supervised machine learning (ML) strategies and deep learning (DL) models with long short-term memory (LSTM) of data science was deployed for thorough analysis and measurement of the performance of the technology stocks. Under discussion are Apple Inc. (AAPL), Microsoft Corporation (MSFT), Broadcom Inc., Taiwan Semiconductor Manufacturing Company Limited (TSM), NVIDIA Corporation (NVDA), and Avigilon Corporation (AVGO). The datasets… More >

Fangyu Ye¹, Xiaoshu Xu^2,*, Yunfeng Zhang³, Yan Ye⁴, Jingyu Dai^5,*

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1257-1274, 2023, DOI:10.32604/iasc.2023.037057

Abstract In order to Improvement the Neutrosophic sets as effective tools to deal with uncertain and inconsistent information. The research takes methodology of combined single-valued neutrosophic rough set and multi-scale decision systems. This paper proposes the optimal scale selection and reduction algorithms based on multi-scale single-valued neutrosophic dominance rough set model. User requirements were analyzed using KJ method to construct a hierarchical model. According to the statistics of representative studies from China and the West, we found that, on the one hand, classical theory has been expanded and supplemented in fashion culture communication and marketing. The topics are more micro-diverse, and… More >

Huan Xu¹, Sixuan Chen^2,*

Journal on Internet of Things, Vol.4, No.2, pp. 75-84, 2022, DOI:10.32604/jiot.2022.030610

Abstract Marketing is a very important part of an enterprise. A rational and scientific marketing management can not only reduce the cost of enterprise sales, but also greatly improve the competitiveness of enterprises. The purpose of this paper is to study the innovative application of enterprise marketing management based on the Internet of Things technology. The most suitable competitive strategy of the company is put forward as the centralized strategy. And put forward the clear strategy implementation details, introduced the current situation and history of the Internet of things, and combined with the development status, put forward the necessity of the… More >

Lin Lang¹, Shuang Zhou¹, Minjuan Zhong^1,*, Guang Sun¹, Bin Pan¹, Peng Guo^1,2

CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3503-3513, 2023, DOI:10.32604/cmc.2023.023596

Abstract Using the RFM (Recency, Frequency, Monetary value) model can provide valuable insights about customer clusters which is the core of customer relationship management. Due to accurate customer segment coming from dynamic weighted applications, in-depth targeted marketing may also use type of dynamic weight of R, F and M as factors. In this paper, we present our dynamic weighted RFM approach which is intended to improve the performance of customer segmentation by using the factors and variations to attain dynamic weights. Our dynamic weight approach is a kind of Custom method in essential which roots in the understanding of the data… More >

Ngo Quang Trung, Nguyen Van Thanh^*

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6535-6546, 2022, DOI:10.32604/cmc.2022.031815

Abstract Sustainable marketing, often known as green marketing, has grown in popularity over the last two decades. Government is currently putting pressure to encourage firms to become environmentally aware in multiple aspects like human and financial utilization, advertisement, and product movement. Different types of companies are including many environmental campaigns into their own products to take advantage of the problem. Although many scholars have addressed the relevance of green marketing as well as theory development, this study is unique in that it examines both techniques in a fuzzy context. The integrated Fuzzy Multicriteria Decision Making Model (MCDM) of the analytical hierarchy… More >

Anwer Mustafa Hil¹, Fahd N. Al-Wesabi², Hadeel Alsolai³, Ola Abdelgney Omer Ali⁴, Nadhem Nemri⁵, Manar Ahmed Hamza^1,*, Abu Sarwar Zamani¹, Mohammed Rizwanullah¹

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3921-3936, 2022, DOI:10.32604/cmc.2022.022301

Abstract Social media is a platform in which user can create, share and exchange the knowledge/information. Social media marketing is to identify the different consumer's demands and engages them to create marketing resources. The popular social media platforms are Microsoft, Snapchat, Amazon, Flipkart, Google, eBay, Instagram, Facebook, Pin interest, and Twitter. The main aim of social media marketing deals with various business partners and build good relationship with millions of customers by satisfying their needs. Disruptive technology is replacing old approaches in the social media marketing to new technology-based marketing. However, this disruptive technology creates some issues like fake news, insecure,… More >

Yulan Zheng^∗

Computer Systems Science and Engineering, Vol.35, No.4, pp. 293-298, 2020, DOI:10.32604/csse.2020.35.293

Abstract With the development of e-commerce, more and more enterprises attach importance to precision marketing for network channels. This study adopted the decision tree algorithm in data mining to achieve precision marketing. Firstly, precision marketing and C4.5 decision tree algorithm were briefly introduced. Then e-commerce enterprise A was taken as an example. The data from January to June 2018 were collected. Four attributes including age, income, occupation and educational background were selected for calculation and decision tree was established to extract classification rules.The results showed that the consumers of the products of the company were high-income young and middle-aged people, middle-income… More >

Shuo He^1,∗, Jianbin Zheng^1,†, Jiale Lin^2,‡, Tao Tang^1,§, Jintao Zhao^1,¶, Hongbao Liu^1,ll

Computer Systems Science and Engineering, Vol.35, No.3, pp. 141-149, 2020, DOI:10.32604/csse.2020.35.141

Abstract Nowadays, many payment service providers use the discounts and other marketing strategies to promote their products. This also raises the issue of people who deliberately take advantage of such promotions to reap financial benefits. These people are known as ‘scalper parties’ or ‘econnoisseurs’ which can constitute an underground industry. In this paper, we show how to use machine learning to assist in identifying abnormal scalper transactions. Moreover, we introduce the basic methods of Decision Tree and Boosting Tree, and show how these classification methods can be applied in the detection of abnormal transactions. In addition, we introduce a graph computing… More >