Cover image of D4M: Signal Processing on Databases

D4M: Signal Processing on Databases

D4M: Signal Processing on Databases

Ranked #1

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Lecture 6: Examples Demonstration

Lecture 6: Examples Demonstration

D4M.mit.edu software demo examples/2Apps/4BioBlast. Distribution of genetic sample data. Ingesting genetic data into an ... Read more

13 Apr 2016

22mins

Ranked #2

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Lecture 2: Group Theory

Lecture 2: Group Theory

Associative array mathematics. Relevant operations on an associative array. Semirings and matrices. See MIT Press book "... Read more

13 Apr 2016

1hr 11mins

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Lecture 7: Examples Demonstration

Lecture 7: Examples Demonstration

D4M.mit.edu software demo examples/3Scaling/1KroneckerGraph. Generation of power law graphs via Kronecker products. D4M.... Read more

13 Apr 2016

13mins

Ranked #4

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Lecture 7: Kronecker Graphs, Data Generation, and Performance

Lecture 7: Kronecker Graphs, Data Generation, and Performance

Theory of Kronecker graphs. Database ingest performance and database query performance. Array multiplication performance... Read more

13 Apr 2016

44mins

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Ranked #5

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Demonstration 7

Demonstration 7

D4M.mit.edu software demo examples/3Scaling/2ParallelDatabase. MIT SuperCloud database management system. Starting the A... Read more

13 Apr 2016

1hr 23mins

Ranked #6

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Lecture 3: Examples Demonstration

Lecture 3: Examples Demonstration

D4M.mit.edu software demo example/2Apps/1EntityAnalysis. Incidence array of text entities. Computing the entity degree d... Read more

13 Apr 2016

32mins

Ranked #7

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Lecture 6: Bio Sequence Cross Correlation

Lecture 6: Bio Sequence Cross Correlation

Genectic sequence analysis using associative arrays. Creating of a genetic processing pipeline. Ingest of genetic sample... Read more

13 Apr 2016

44mins

Ranked #8

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Lecture 2: Examples Demonstration

Lecture 2: Examples Demonstration

D4M.mit.edu software demo example/1Intro/3GroupTheory. Associativity, commutativity, distributivity properties.

13 Apr 2016

7mins

Ranked #9

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Lecture 5: Examples Demonstration

Lecture 5: Examples Demonstration

D4M.mit.edu software demo examples/2Apps/3PerfectPowerLaw. Generate synthetic power law distributions. Analyze power la... Read more

13 Apr 2016

24mins

Ranked #10

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Lecture 5: Perfect Power Law Graphs -- Generation, Sampling, Construction, and Fitting

Lecture 5: Perfect Power Law Graphs -- Generation, Sampling, Construction, and Fitting

Statistical distribution of background/noise in databases. Power law distribution describes many backgrounds. Perfect po... Read more

13 Apr 2016

53mins

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