ALL COVERED TOPICS

NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter

NAVIGATE MAIN CATEGORIES

Close

Neuron Based Data Structure – an Implementation

Alexander Bresk:

The neuron based data structure (called NBDS) follows the idea, to keep an information as an atomic part. The model contains three parts. The first part is the Neuron, which acts like a container for data. The second part is the Axon. This axon connects two neurons together and it can still contain information (data about the connection or relation). The last part is the Space. In a Space you put neurons and axons together and run some operations on it. You can imagine the space as a component, that brings the order into the set of neurons and axons.

You’ll find all these features in any graph database.

Original title and link: Neuron Based Data Structure – an Implementation (NoSQL database©myNoSQL)

via: http://www.cip-labs.net/2011/12/14/neuron-based-data-structure-an-implementation/