Using Regression Analysis for Causal Inference
Regression analysis is a powerful statistical tool that can be utilized for forecasting a variable or inferring causal relationships with other independent variables. While establishing […]
Dynamic co-occurrence network of authors and their co-authors
Co-Occurrence Networks are undirected networks that make connection between the entities of the same type. Given below is a dynamic co- occurrence network of Katy […]
Bipartite network linking Institute names and research programs
Bipartite network connect entities of different types. Given below is a Bipartite network showing the linkages between the Institute names and research program names with […]
Co-occurrence network of authors and their co-authors
Co-Occurrence Networks are un-directed networks that make connection between the entities of the same type. Given below is a co- occurrence network of Katy and […]
Co-word occurrence network analysis in patents
Co-word occurrence network is a network in which nodes represent words and edges denote their joint appearance in a paper. Given below is a co-word […]
Geospatial visualization of the NSF Funding
Given below is a sample of geospatial visualization of the NSF Funding. The data was downloaded from http://sdb.cns.iu.edu. The .csv file has details on various institutions receiving […]
Visualization of burst analysis on publications
The burst analysis is done to identify the sudden increases or “bursts” in the frequency-of-use of certain terms or concepts over time, how they were […]
Visualization of a various family attributes through Network Diagram
This is a visualization of the following attributes of Padgett’s Florentine families. The visual analysis was done using Sci2 tool. Wealth number of seats on the […]
Key Diagnostic Metrics
Once we have the model we should evaluate its performance and tune it to improve its performance. If a data mining model is bad, it’s […]
Text Mining – Sample Analysis using LightSide
Here is highlight of the text mining process in a simple text classification experiment using LightSIDE. LightSide accepts the input data in the .csv format. […]
Components to effective Predictive Modeling
Predictive modeling involves finding good subsets of predictors or explanatory variables. Models that fit the data well are better than models that fit the data […]
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