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Data Cleaning on Graph Databases Using Neo4j: Duplicate Elimination, Data Repair and Correction of Missing Values
Title:
Data Cleaning on Graph Databases Using Neo4j: Duplicate Elimination, Data Repair and Correction of Missing Values
Author:
Yanduru, Srinivas Abhishek, author.
ISBN:
9780438101890
Personal Author:
Physical Description:
1 electronic resource (51 pages)
General Note:
Source: Masters Abstracts International, Volume: 57-06M(E).
Advisors: Johnson P. Thomas Committee members: David Cline; Christopher John Crick.
Abstract:
Data cleaning is a process of detecting, correcting, or removing errors and inconsistencies from data in order to improve the quality of data. Data can be classified into two types, namely structured and unstructured. Standard techniques and tools are available to handle structured data. Most of the data generated in today's world is unstructured. A graph database stores data in the form of nodes and relationships between the nodes. Neo4j is a graph database tool which is accessed using the Cypher query language. We define and implement an extensive set of cleaning algorithms for removal of duplicate entries, errors and other inconsistencies in data in Neo4j. We conclude with the validation of these cleaning algorithms using data visualization techniques using excel graphs. The visualized results of the data before and after applying the cleaning algorithms proves the effectiveness of the proposed cleaning algorithms.
Local Note:
School code: 0664
Subject Term:
Added Corporate Author:
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Shelf Number | Item Barcode | Shelf Location | Status |
|---|---|---|---|
| XX(687742.1) | 687742-1001 | Proquest E-Thesis Collection | Searching... |
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