## Importing bulk data into neo4j - an efficiency analysis

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This article presents an efficiency analysis on importing bulk data into *neo4j* (a graph database).

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This article presents an efficiency analysis on importing bulk data into *neo4j* (a graph database).

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*Machine Learning: An article explores neural network/.* The goal of a feedforward network is to approximate some functionf∗. For example,for a classiﬁer,y=f∗(x) maps an inputxto a categoryy. A feedforward networkdeﬁnes a mappingy=f(x;θ) and learns the value of the parametersθthat resultin the best function approximation.

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*Machine Learning: An article explores gradient descent.*

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*Machine Learning: An article explores support vector machine.*

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*Machine Learning: An article explores linear regression.*

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*Machine Learning: An article explores reinforcement learning.*

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*Machine Learning: An article explores K-Mean clustering and gaussian mixture model.*

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*Machine Learning: An article explores decision trees and its evaluation.*

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*Data Structure: A review article on some concept of trees. *This is a series of articles on basic data structures**