MIS 111 Lecture Notes - Lecture 24: Computer Network, Cash Flow, Aggregate Function

• School: University of Arizona
• Department: Management Info Systems Main
• Course: MIS 111
• Professor: ALL

Document Summary

Data mining is the: detection, characterization, and exploitation of actionable patterns in business data. Data mining: 1. sources/data types 2. define the problem 3. evaluate the data 4. extortion of. Etl makes is accessible and structures 5. create a model 6. evaluate the model 7. if it works, use the model again and again, if not, restart the process. Pivot table multiple attributes of a particular data item to summarize the data relative easily. Three axises of information one piece of data with three different attributes. Olap is: set of functionalities that facilitate multi-dimensional data analysis for faster, more informed decision making. Projection that compresses regional, project on product, projection time (total attraction all sales cash flow. Case study the internet is watching you. Arpanet the original computer network crashed after they typed in three letters. All info being stored on server farms. Big data ability to sift through all the info from the internet.