UCLA‘s professor Jason Frand defines data mining as this: “data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information – information that can be used to increase revenue, cuts costs, or both” To become an expert and actually get a job in […]
Continue readingI found treasure! Publication and citation data with metadata (author names, addresses, affiliation): http://citeseer.ist.psu.edu/oai.html I was reading about knowledge management here, which says that knowledge management is nonsense. I agree to a certain degree, not because of the field, but because of its name. How do you manage knowledge? Isn’t knowledge derived? Wasn’t information “science” […]
Continue readingFor the uninitiated, Sparklines are “data-intense, design-simple, word-sized graphics” according to its inventor Edward Tufte. I always wanted to include them in my trend reports. The challenge: How and Which tool to use? The data came from this report came from a complex query using SQL server and Access that had this format: College Major […]
Continue readingTo understand the requirements of data mining jobs, I created a tag cloud using these steps: Used Yahoo Pipes (I created mine, but this one has more feeds)– this pipe aggregates feeds from different job web-sites, and gives the user unique job listing that you can subscribe via RSS: Job Feed Aggregator by Sean Dolan […]
Continue readingEver since I read the book The Visual Display of Quantitative Information, by Edward R. Tufte, I am captivated by the idea of creating good design while doing data analysis or dashboard building. Although Excel 2007 charts are much nicer than its previous births, I have started disliking Excel charts. I am even developing an […]
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