2. What method or methods of data collection will allow me to obtain the information I need to answer my research questions? 3. What are the strengths and weaknesses of the different methods of data collection? 4. How do I use these methods of data collection in my research? The ...
In this section, we summarize the theoretical concepts which are necessary for Big Data processing as presented in the rest of the paper. 4.1. Topology A topological space [32], [33], [34] is a set of points along with a topology; that is, a collection of subsets that are referred to...
PRISMA sets out the process for finding and evaluating the literature for a research question (Page et al 2021). K Schmalenbach Journal of Business Research 3.1 Data Collection In this study, the databases Web of Science, Scopus, ScienceDirect, and EBSCOhost were selected as sources of ...
//www.slideshare.net/SandeshRao4 Observe Historical data Health Performance Realtime data Availability Capacity Engage ACR Email Sanitization Pager Notification Slack Collaboration Incident detection Logs AIOps Jira Bug Diagnostic Scripts Machine Learning SR collection Health Runbooks Checks Anomaly Automate ...
Publication Bias:How interesting a research finding is, affects how likely it is to be published, distorting our impression of reality. Sampling Bias:Drawing conclusions from a set of data that isn’t representative of the population you’re trying to understand. This is a type ofSelection Bias...
Data acquisition, collection and detection By applying rules to data streaming from sensors and other sources, an analysis of the current state can be performed to extract context and identify any triggers (i.e. something happened) or temporal analysis (for example this person said something more...
Data is the basis for creating information and knowledge. Having data in a structured and machine-readable format facilitates the processing and analysis of the data. Moreover, metadata—data about the data, can help discovering data based on features as
. Within this systematic review, we transfer the existing research and knowledge about data quality to the topic of AI in medicine. In particular, we investigate the research question: Along which characteristics should data quality be evaluated when employing a dataset for trustworthy AI in ...
Google Research resources (https://research.google/tools/) Frederik Brasz - Voronoi generator (https://cfbrasz.github.io/programs.html) handcalcs - Python calculations in Jupyter (https://github.com/connorferster/handcalcs) Towhee - open-source ML pipeline to encode unstructured data into embeddings...
The second ASUG session on my radar was the SAP HANA Ramp-up customer story. On the closer look, the story was rather about the benefits of BI implementation, as the customer moved from manual collection of data from four source systems and the development of reports in the MS Excel to ...