Understanding How Neo4j Cypher Queries are Evaluated
Wednesday, July 9, 2014
There are many ways to store and manage data within a Neo4j graph database. When Neo4j 2.0 launched late last year we had an entirely new browser experience for interacting with graphs. The graph visualization from the return results of Cypher queries were at the core of the user experience enhancements to the platform.
Labels:
cypher
,
declarative query language
,
execution planning
,
graph database
,
graphs
,
neo4j
,
open source software
Using 3D Visualization to Debug a Graph-based Algorithm
Monday, July 7, 2014
Recently I have been working on an idea for an algorithm that discovers patterns in raw streams of data. This pattern recognition algorithm uses deep learning to classify certain combinatorial features that uniquely identify an input stream.
I'm going to first talk a bit about the algorithm so it makes sense as to why visualization is such an important step in iterating and tweaking code that most efficiently implements the algorithm.
I'm going to first talk a bit about the algorithm so it makes sense as to why visualization is such an important step in iterating and tweaking code that most efficiently implements the algorithm.
The Algorithm
In a previous post I introduce the idea for the algorithm and how a graph-based approach might work.
Labels:
algorithms
,
graph database
,
neo4j
,
pattern recognition
,
ubigraph
,
visualization
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