• No results found

Mining of Different Types of Hidden Knowledge from Log Files

N/A
N/A
Protected

Academic year: 2020

Share "Mining of Different Types of Hidden Knowledge from Log Files"

Copied!
8
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 5: Algorithm for converting text file to database
Fig. 6: Algorithm for data cleaning
Fig. 8: Rule Generation Algorithm
Fig. 9: Algorithm for finding the total duration time for each IP Address.
+2

References

Related documents

Patients with both ER in the inferior leads and horizontal/de- scending ST variant and myocardial scar had an increased age and gender adjusted HR of cardiac events (HR: 10; 95%

Multivariate regression analysis showed that Model for End-Stage Liver Disease (MELD) and systemic inflammatory response syndrome (SIRS) scores were significant predic- tive

At the opening ceremony of Landsmót 2012, our case study event, spectators were welcomed with the greeting “Dear international guests and friends of the Icelandic horse”,

The single- wavelength neural network used 35 separate networks, each one predicting a single output corresponding to one of the 35 wavelengths for the reflectance factors;

7 Video analysis has been utilised in rugby union to study injury mechanisms in tackle contact situations 8 – 10 and speci fi cally for concussion in sports such as American football

Representationally these initiatives operate at different geographical scales from: efforts to inter- vene in the industrial use of a reservoir system and to rescale its use to

The objective of this study was to compare the BAI and body mass index (BMI) as measurements of body adiposity and metabolic risk.. Materials and Methods: This was a