# InfoCoBuild

## D4M: Signal Processing on Databases

D4M: Signal Processing on Databases (Fall 2012, MIT OCW). Instructor: Dr. Jeremy Kepner. D4M is a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data. Search, social media, ad placement, mapping, tracking, spam filtering, fraud detection, wireless communication, drug discovery, and bioinformatics all attempt to find items of interest in vast quantities of data. This course teaches a signal processing approach to these problems by combining linear algebraic graph algorithms, group theory, and database design. This approach has been implemented in software The class will begin with a number of practical problems, introduce the appropriate theory and then apply the theory to these problems. Students will apply these ideas in the final project of their choosing. The course will contain a number of smaller assignments which will prepare the students with appropriate software infrastructure for completing their final projects. (from ocw.mit.edu)

 Lecture 0 - Introduction Demo 0 - Introduction: Examples Demonstration Lecture 1 - Using Associative Arrays Demo 1 - Using Associative Arrays: Examples Demonstration Lecture 2 - Group Theory Demo 2 - Group Theory: Examples Demonstration Lecture 3 - Antity Analysis in Unstructured Data Demo 3 - Antity Analysis in Unstructured Data: Examples Demonstration Lecture 4 - Analysis of Structured Data Demo 4 - Analysis of Structured Data: Examples Demonstration Lecture 5 - Perfect Power Law Graphs Demo 5 - Perfect Power Law Graphs: Examples Demonstration Lecture 6 - Bio Sequence Cross Correlation Demo 6 - Bio Sequence Cross Correlation: Examples Demonstration Demo 65 - Accumulo and D4M (Demo only, no lecture) Lecture 7 - Kronecker Graphs, Data Generation, and Performance Demo 7 - Kronecker Graphs, Data Generation, and Performance: Examples Demonstration

 References D4M: Signal Processing on Databases Instructor: Dr. Jeremy Kepner. Lecture Notes. Instructor Insights. D4M is a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data.