JSTOR. Digital History – "Engaging in online public discourse about digital history." Data mining - Wikipedia. Data mining is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. It is an interdisciplinary subfield of computer science. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Etymology In the 1960s, statisticians used terms like "Data Fishing" or "Data Dredging" to refer to what they considered the bad practice of analyzing data without an a-priori hypothesis.
. (4) Modeling. What Does It Mean to Think Historically? Introduction When we started working on Teachers for a New Era, a Carnegie-sponsored initiative designed to strengthen teacher training, we thought we knew a thing or two about our discipline.
As we began reading such works as Sam Wineburg's Historical Thinking and Other Unnatural Acts, however, we encountered an unexpected challenge.1 If our understandings of the past constituted a sort of craft knowledge, how could we distill and communicate habits of mind we and our colleagues had developed through years of apprenticeship, guild membership, and daily practice to university students so that they, in turn, could impart these habits in K–12 classrooms? Why Study Digital History? Teaching Posted by W.
Caleb McDaniel on August 31, 2012 In our first meeting of Digital History at Rice, we each shared our reasons for wanting to study this subject. Here I want to elaborate a little bit on mine. My graduate program in history did not offer any training in digital history methods, but in the last ten years, I’ve had a series of realizations that make me want to learn more about them.
Get more from data with Fusion Tables. Fusion Tables is an experimental data visualization web application to gather, visualize, and share data tables.