This chapter describes the three current fields of data analytics that are attracting a great deal of attention due to their wide application in different domains: text mining, social network analysis (SNA) and recommendation systems. Text mining is a very active area of data analytics. Text ...
Our algorithms can be extended to numerical attributes. The proposed approach is validated by extensive experiments and comparison with existing randomized response and generalization methods. The contributions of this paper include: • A general framework for data publication is proposed based on ...
times slower than the former. Therefore, if you meet memory bottleneck because of large dataset (e.g. >5K), then set 'fstore=2'; otherwise, use 'fstore=1'. To give a feel on this, a performance comparison is shown in the SISSO_Guide.pdf at the introduction of the keyword 'fstore'...
A data platform is a comprehensive end-to-end solution for all your data. A true data platform can ingest, process, analyze and present data generated by all the systems and infrastructures within your organization. Some software and apps may masquerade as data platforms; often, these are suppo...
Security and data access Work with data using code Apply business logic using code Integrate data using code Work with tables using code Work with table definitions using code Work with elastic tables using code Introduction to solutions Create applications Transition apps to Dataverse ServiceClient Bes...
Introduction to the Data Science Virtual Machine Completed 100 XP 2 minutes The Data Science Virtual Machine (DSVM) is a customized virtual machine (VM) image built specifically for data science. The DSVM runs on the Azure cloud platform. It has many popular data science tools preinsta...
Find out everything you need to know about becoming a data scientist, and find out whether it’s the right career for you!
We introduce a novel framework to study the dynamics of news narratives, by leveraging GPT3.5 advanced text analysis capabilities and graph theory. In part
Design approaches developed around contextual knowledge and general practices lead to enhanced artefact design [47]. This study has used two sets of iterations to design and develop the BDAS as a predictive model based on existing approaches in literature: ML based predictive model; DL based ...
Introduction Digital data are collected at an incredible rate. With 2.5 quintillion (2.5 × 1018) bytes of data generated every day, 90 % of the world’s data were created in the past 2 years (IBM2015). This is due in part to the revolutionary belief that data and the unexpected informa...