database browser and finding patterns in database records - open to bidding

- Database - (preferred orientDB(!), graph Database) - but we might discuss and see ordinary SQL as enough

=> amount of records (1 - 25 Million) - each about 10 columns/fields (might be extended later on)

- GUI / Frontend needed to access Database data

- i would assume front end would be desktop app based

- but maybe a browser based frontend is also good (especially considering the cloud database aspect below.)

- no editing of data as part of user use case needed.

- use cases:

access data (browse data)

statistics on data

visualization data (graph/network type of visualization - optional)

analysis of data (on whole data set and parts of data sets)

- mostly straight forward data extraction tasks. some are more tricky (

visualization of result of analysis (graph/network type of visualization - optional)

in most cases it is only table and (dir-)tree representation

- the visualization / browsing / etc. should rely on lazy-load from database; as full dataset will not fit into memory / display-model

- Some analysis part is the tricky part. It basically should identify equal and (only) similar(!) data records and data record sub-sets (!) across the whole data set.

- the analysis part would benefit from parallelization. I could imagine putting the whole database in the cloud (e.g. AWS, google, etc.) and only keep the frontend local. - best would be if the backend data base can be configurable either local or in the cloud

- focus is on large amount of data, quick on the fly analysis of data, quick display - beauty is secondary.

Regarding the similarity part.
basically the algorithm shall take two graph-trees and compare them. I should find any similar subtree within. similar subtree means that there can be a difference in the trees. The amount of difference, e.g. different leaves is the distance. Find those subtrees with the smallest distance...

E.g. The subtree similarity-search
problem is that of finding, given a tree Q and a large set of
trees Γ = {T1, . . . , Tn}, the subtrees of trees among Γ that are
most similar to Q. Similarity is defined using some tree distance

Within the application you chose a starting point for a subtree. And the results will show all found similar subtrees in order of distance (from closest to further away.)

Skills: C Programming, Java, Javascript, Python, Swing (Java)

See more: java, software development, software architecture, python, programming

About the Employer:
( 0 reviews ) Hamburg, Germany

Project ID: #15770821

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I am an IITK graduate and I have 11 years of experience in software development. I have 100% completion rate and I have finished projects with the highest level of customer satisfaction. Relevant Skills and Experience More

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Hello Sir, We have checked your requirement and have some query. So please message us to discuss on it. So after understanding it well, we can start work. Thanks Relevant Skills and Experience ` Proposed Milestone More

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