SLIP Technology Browser: Index Page

Latest tutorials and programs in zipped file.

 

The Event Knowledge Base

Stochastic and Fractal Theory, an Outline for Future Work, January 30, 2002

 

 

Proposals to Industry on Incident Management

Incident Management and Intrusion Detection System Proposal to Industry, January 2, 2002

 

Thematic Analysis in Text Collections.

Verb map Analysis using SLIP, Tutorial and Design Document December 31, 2001

Noun, Verb co-occurrence Analysis using SLIP, Tutorial and Design Document, December 29th, 2001

Determining Functional Load using SLIP, December 28th, 2001

Development Notes on Thematic Analysis With Tutorial and Design Document; December 26th, 2001

Concept of double articulation in lingusitics

On the Nature of Stratification: December 24th, 2001

.

Event Chemistry.

Development Note" December 18th, 2001

First Report on eventChemistry (TM) , December 17th, 2001

Creating and Visualizing a Citation Index: Exercise I December 17, 2001

Event Browser Exercise I, December 14th, 2001

 

A theory of state transition and behavioral analysis is available and is to be applied (by OSI) to creating templated profiles of opposition activity and intentions.

Human analysis based on the viewing of event chemistry will be predictive in three ways

1) the human will have a cognitive aid for thinking about and talking with peers about the events and event types

2) a top down expectancy is provided for pattern completion of partially developed event chemistry

3) coherency testing separates viewpoints into distinct graphic pictures and this provides informational transparency with a selective attention directed by user voice commands.

Technical Note on Links and Atoms, December 10th, 2001

Exercise on Importing an Arbitrary Event Log, December 7th, 2001

The Root_KOS and SLIP Enterprise, December 9th, 2001

Although the SLIP-RIB technology was developed for Computer Emergency Response Team (CERT) use the small deployable software browsers will take ANY event log, allow the user to define any link analysis relationship, produce clustered visualization of the linkage over a small of large dataset, produce two layers of event chemistry in correspondence to event atoms and event compounds.

 

Early SLIP Papers (developed for Incident Management).

SLIP Data Structures and Algorithms, November 1th, 2001

Experiment with SLIP Analytic Conjectures, November 2th, 2001

SLIP Exercise I, November 11th, 2001

SLIP Exercise II, November 12th, 2001

SLIP Exercise III, November 19th, 2001

Research Note I, November 27th, 2001

SLIP Warehouse Exercise I, December 3th, 2001

Technical Note I, December 3th, 2001

OSI Summary of Possibilities, December 4th, 2001

.

Sensor Link analysis, Iterated scatter-gather and Parcelation (SLIP).

A data mining technology based on link analysis, emergent computing and category theory has been developed as an application to modeling distributed in location and time computer hacker/cracker incident events. The technology is fully prototyped and available for demonstration.

The data mining technology is called Sensor Link analysis, Iterated scatter-gather and Parcelation (or SLIP). The term "Sensor" replaced the term "Shallow" on December 10th, 2001.

Link relationship is definable by the user using a Browser interface. The Browser is less then 400K in size and has no install procedure. Patterns in the user defined link relationships are used to define location and time distributed "events" and these events are visualized as clusters and then as pictures that appear like chemical compounds - where the atoms are data invariance and the linkage is the used defined link analysis. Automated conversion of the event chemistry to finite state transition models (colored Petri nets) is possible.

Any one of several enterprise knowledge sharing systems are readily deployable along with the SLIP-RIB technology. OSI and a partner will deploy the chosen knowledge sharing system and the SLIP-RIB technology using a deployment compliance model under development. A process model for any such deployment has been under development. The process model is simpler than the SW-CMM model for software procurement, and reflects modern Knowledge Management practices, developed at George Washington University and by several leading process theorists.

For the SLIP Technology Browser please send a request to

portal@ontologystream.com