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There is a clear growing interest in the decision processes and data mining. For example, here's a new Springer Journal (that is all open content).

Decision Analytics - a SpringerOpen journal

Cohort Analysis and LifeCycle Grids mixed segmentation with R

Cohort Analysis and LifeCycle Grids mixed segmentation with R - AnalyzeCore - data is beautiful, data is a story

This R Data Import Tutorial Is Everything You Need | R-bloggers

This R Data Import Tutorial Is Everything You Need | R-bloggers

Weka 3 - Data Mining with Open Source Machine Learning Software in Java

Weka 3 - Data Mining with Open Source Machine Learning Software in Java

Revolutions. News about R, statistics, big data analytics, data science, and the world of open source from the staff of Revolution Analytics. (from Revolution Analytics, http://www.revolutionanalytics.com)

Learn about using open source R for big data analysis, predictive modeling, data science

List of useful packages (libraries) for Data Analysis in R

Here is the complete list of useful libraries in R to perform data analysis. swirl, shiny, rcmdr, randomforest, survival is listed

Map of Boston Common Parking Violations | Data | City of Boston _ lots more datasets with geo reference

Map of Boston Common Parking Violations

Naive Bayes for Dummies; A Simple Explanation - Data Science Central

Naive Bayes for Dummies; A Simple Explanation - Data Science Central

Open-source NLP tools

Open-source NLP software can help!

Doing data science / Cathy O'Neil and Rachel Schutt

Doing Data Science: Straight Talk from the Frontline, a book by Cathy O'Neil, Rachel Schutt

A Complete Tutorial on Time Series Modeling in R

Complete tutorial on time series modeling explaining auto regression, moving average, dickey fuller test, random walk, ACF / PACF plots &

Ideas for creating your own line plots - Freebie in Laura Candler's online file cabinet

Ideas for creating your own line plots - Freebie in Laura Candler's online file cabinet (this concept always confuses my little ones-would be good to post and practice, practice, practice)

"This article covers technical details on how to effectively analyze data from a platform perspective. It is so-called “big data.” The big data technology allows storing a large amount of data, searching meaningful data for visualization, enabling predictive analysis, thereby, internalizing business process for application."

database management systems and software development