Advanced Data Analytics Techniques: Enhancing Statistical Analysis
Explore the integration of prescriptive statistics within a database, along with insights on combining descriptive and inferential statistics. Uncover the pros and cons of embedding statistical methods in databases for improved data analysis and decision-making. Discover additional tools and techniques for inferential and predictive analytics to identify structure, correlations, and outliers in data.
Uploaded on | 0 Views
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
Thoughts Interesting position paper from industry on combining descriptive aggregate statistics with inferential statistics Industry paper Many of the design decisions are not justified Many details are missing But hopefully giving a sense of the goals and challenges
Question Do you or do you not think prescriptive statistics should be embedded within a DB? Pros/Cons?
Question Do you or do you not think prescriptive statistics should be embedded within a DB? Pros/Cons? Pro: exploit data parallelism Pro: one framework for everything, no data movement Con: clunky, not easy to understand
What Else? Authors talk about Matrix based Least Squares Conjugate Descent Log Likelihood Resampling What else could be useful from a inferential standpoint?
Prediction What else could be useful from a prediction standpoint?
Prediction Using a subset of columns to predict others? Missing value imputation? Others?
Identifying Structure What else could be useful to identify structure?
Identifying Structure How about identifying correlations, dependencies? Identifying outliers Identifying clusters?
