scholarly journals Data Science: A Happy Marriage of Quantitative and Qualitative Thinking?

2021 ◽  
Author(s):  
Xiao-Li Meng
Keyword(s):  
Author(s):  
Charles Bouveyron ◽  
Gilles Celeux ◽  
T. Brendan Murphy ◽  
Adrian E. Raftery

Author(s):  
Shaveta Bhatia

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.


Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.


Author(s):  
Juriyana Megawati Hasibuan Dan Fatahuddin Aziz Siregar

Marriage is a sacred bond which is ideally only held once in a lifetime. Both Islamic law and positive law require an eternal happy marriage. To support this the Koran proclaims marriage as mitsaqan galiza. The marriage is then registered in the state administration. In line with this, the laws and regulations are formulated in such a way as to make divorce more difficult. However, when there are acceptable reasons and due to coercive conditions, divorce can be done through a judicial process. The divorce must then be registered by taking certain procedures. The court delivered the notice and sent a copy of the decision to the marriage registrar to file the divorce properly. The implementation of this divorce record was not effective. The separation of the Religious Courts Institution from the Ministry of Religion has become a factor that causes the registration task not to be carried out. The loss of the obligation to submit a copy of the decision on the judge's ruling caused the recording to be constrained. The unavailability of shipping costs also contributed to the failure to register divorce. Even though there is a threat to the Registrar who neglects to deliver a copy of the verdict, unclear sanctions make this ineffective. As a result of the lack of recording of divorce, the status of husband and wife becomes unclear and opens opportunities for abuse of that status.


2019 ◽  
Vol 5 (30) ◽  
pp. 960-968
Author(s):  
Güner Gözde KILIÇ
Keyword(s):  

2020 ◽  
Author(s):  
Saeed Nosratabadi ◽  
Amir Mosavi ◽  
Puhong Duan ◽  
Pedram Ghamisi ◽  
Ferdinand Filip ◽  
...  

This paper provides a state-of-the-art investigation of advances in data science in emerging economic applications. The analysis was performed on novel data science methods in four individual classes of deep learning models, hybrid deep learning models, hybrid machine learning, and ensemble models. Application domains include a wide and diverse range of economics research from the stock market, marketing, and e-commerce to corporate banking and cryptocurrency. Prisma method, a systematic literature review methodology, was used to ensure the quality of the survey. The findings reveal that the trends follow the advancement of hybrid models, which, based on the accuracy metric, outperform other learning algorithms. It is further expected that the trends will converge toward the advancements of sophisticated hybrid deep learning models.


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