Pre-Grant Publication Number: 20080172630
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Prior Art Detail
Summary / Description
| Summary / Description | Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of 'emergent' patterns and trends in the linkage ... A case study from the area of security illustrates the application of the methodology and corresponding data mining techniques |
Basic Information
| Type of Prior Art | Print Publication |
| Publication Title * | Conferences in Research and Practice in Information Technology Series; Vol. 166 |
| Author | Galloway, John. Simoff, Simeon J. |
| ISBN | ~ ISSN:1445-1336 , 1-920- |
| Page Range | 21 - 32 |
| Medium | Journal article |
| Publication Date * | 2006 |
| URL | |
Notes / To Do
| Notes | |
Excerpt
Excerpt This paper describes a commercial analysis tool performing network data mining. It creates a picture of networked data, allowing anomolies and trends to be identified. For particular claims, I've pasted the text from tha article which describes what the patent claims as novelty. |
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Claims
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This describes a graphic tool NetMap which allows the visualation of data
This describes a graphic tool NetMap which allows the visualation of data
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... Network data mining is concerned with discovering relationships and patterns in linked data, i.e. the interdependencies
between data items at the lowest elemental level ...
... Network data mining is concerned with discovering relationships and patterns in linked data, i.e. the interdependencies
between data items at the lowest elemental level ...
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patterns discovered
through visualization and algorithms that facilitate the intuition. Such patterns are of particular interest, and in fact often
an objective of the network mining approach ... i.e. a trend is visualised and identified
patterns discovered
through visualization and algorithms that facilitate the intuition. Such patterns are of particular interest, and in fact often
an objective of the network mining approach ... i.e. a trend is visualised and identified
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They are termed scenarios and characterised as definable and re-usable
patterns. Their value is that they are patterns that have now become ‘known’. Hence they can be defined, stored in a
knowledge base ... i.e. they are defined by a keyword for later retrieval
They are termed scenarios and characterised as definable and re-usable
patterns. Their value is that they are patterns that have now become ‘known’. Hence they can be defined, stored in a
knowledge base ... i.e. they are defined by a keyword for later retrieval
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The study used the NetMap software from NetMap Analytics ... i.e. a tool that creates a graphical representation of data
The study used the NetMap software from NetMap Analytics ... i.e. a tool that creates a graphical representation of data
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A tool that interfaces to relational databases and any original sources of data (e.g. XML files) is basic to NDM, and is a capability
provided in the NetMap software suite which is a premier technology in this space and was used in this case presented later in this
chapter. ... i.e. can capture the data as described
A tool that interfaces to relational databases and any original sources of data (e.g. XML files) is basic to NDM, and is a capability
provided in the NetMap software suite which is a premier technology in this space and was used in this case presented later in this
chapter. ... i.e. can capture the data as described
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To start to make sense of the data overviewed in Fig. 4, the analyst then processed the data through an algorithm in
NetMap to produce the display of potential irregularities shown in Fig. 5 ... i.e. created the relationship and visualization
To start to make sense of the data overviewed in Fig. 4, the analyst then processed the data through an algorithm in
NetMap to produce the display of potential irregularities shown in Fig. 5 ... i.e. created the relationship and visualization
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By taking the seemingly regular patterns out of the picture (the triangles), the analyst was quickly able to produce a
short list of potentially suspicious transactions and inter-related behaviours. That is, from a larger amount of data she
was able to quickly focus where to look in the myriad of linkages to drill down for more details. ... i.e. using the visualation of the trend to perform analysis
By taking the seemingly regular patterns out of the picture (the triangles), the analyst was quickly able to produce a
short list of potentially suspicious transactions and inter-related behaviours. That is, from a larger amount of data she
was able to quickly focus where to look in the myriad of linkages to drill down for more details. ... i.e. using the visualation of the trend to perform analysis
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