Identifying the Intents Behind Website Visits by Employing Unsupervised Machine Learning Models [0.03%]
运用无监督机器学习模型识别网站访问的意图
Judah Soobramoney,Retius Chifurira,Temesgen Zewotir et al.
Judah Soobramoney et al.
With digitisation globally on the rise, corporates are compelled to better understand the usage of their websites. In doing so, corporates will be empowered to better understand consumers, and make necessary adjustments to ultimately improv...
ComStreamClust: a Communicative Multi-Agent Approach to Text Clustering in Streaming Data [0.03%]
基于通讯的多智能体流文本聚类方法研究
Ali Najafi,Araz Gholipour-Shilabin,Rahim Dehkharghani et al.
Ali Najafi et al.
Topic detection is the task of determining and tracking hot topics in social media. Twitter is arguably the most popular platform for people to share their ideas with others about different issues. One such prevalent issue is the COVID-19 p...
Student Trend Analysis for Foreign Education Employing Machine Learning: A Case Study from 'Disha Consultants', Gujarat, India [0.03%]
基于机器学习的留学就业学生趋势分析——来自印度古吉拉特邦迪夏咨询公司的案例研究
Manan Shah,Ameya Kshirsagar,Tulasi Sushra
Manan Shah
For many years, there has been literature on study abroad, student mobility, and international student exchange; however, the scope & depth of this work has expanded dramatically in the recent two decades. Most of this research in comparati...
Impact of COVID-19 on Stock Indices Volatility: Long-Memory Persistence, Structural Breaks, or Both? [0.03%]
COVID-19对股票指数波动的影响：长记忆持续性、结构突变或是两者兼而有之？
Abdinardo Moreira Barreto de Oliveira,Anandadeep Mandal,Gabriel J Power
Abdinardo Moreira Barreto de Oliveira
The onset of the COVID-19 pandemic has increased volatility in financial markets, motivating researchers to investigate its impact. Some use the GARCH family of models to focus on long-memory persistence, while others use Markov chain model...
Bimal Shil,Prasenjit Sinha,Binod Chandra Tripathy et al.
Bimal Shil et al.
In this paper, we propose a Variable Neighborhood Search (VNS) algorithm based on Multi-AttributeDecision-Making (MADM) strategy under possibility environment. Further, we provide a numerical example to show the applicability and rationalit...
Nafiseh Khojastehbakht,Amirhossein Ghatari,Ehsan Bahrami Samani
Nafiseh Khojastehbakht
In this paper, we investigate to propose a new statistical distribution based on power series. We introduce a new family of distributions which are constructed based on a latent complementary risk problem and are obtained by compounding Bet...
The effect of coronavirus infection on QT and QTc intervals of hospitalized patients in Qazvin, Iran [0.03%]
2019新型冠状病毒肺炎住院患者的QT和QTc间期变化分析研究
Azadeh Najjar,Abbas Allami,Samira Dodangeh et al.
Azadeh Najjar et al.
Electrocardiographic (ECG) changes have been investigated in the condition of coronavirus disease (COVID-19) indicating that COVID-19 infection exacerbates arrhythmias and triggers conduction abnormalities. However, the specific type of ECG...
A Comprehensive Study of Artificial Intelligence and Cybersecurity on Bitcoin, Crypto Currency and Banking System [0.03%]
人工智能和网络安全在比特币、加密货币和银行系统中的全面研究
Tamanna Choithani,Asmita Chowdhury,Shriya Patel et al.
Tamanna Choithani et al.
In recent years cryptocurrencies are emerging as a prime digital currency as an important asset and financial system is also emerging as an important aspect. To reduce the risk of investment and to predict price, trend, portfolio constructi...
Deeksha Chandola,Akshit Mehta,Shikha Singh et al.
Deeksha Chandola et al.
Stock market's volatile and complex nature makes it difficult to predict the market situation. Deep Learning is capable of simulating and analyzing complex patterns in unstructured data. Deep learning models have applications in image recog...
An Improved K-means Clustering Algorithm Towards an Efficient Data-Driven Modeling [0.03%]
一种改进的K均值聚类数据驱动建模方法
Md Zubair,Md Asif Iqbal,Avijeet Shil et al.
Md Zubair et al.
K-means algorithm is one of the well-known unsupervised machine learning algorithms. The algorithm typically finds out distinct non-overlapping clusters in which each point is assigned to a group. The minimum squared distance technique dist...