scholarly journals Approaches to the process of measuring and analysis of web site visits

2003 ◽  
Vol 44 (159) ◽  
pp. 95-108
Author(s):  
Rade Stankic
Keyword(s):  
Online Communities ◽  
Web Site ◽  
Web Traffic ◽  
Log File Analysis ◽  
Log File ◽  
Tracking Devices ◽  
Over Time

How to learn more about your Web-site's visitors by using Web-traffic statistics? One of the principal methods used by online advertisers, online communities and online businesses to keep track of their visitors' behavior is to employ tracking devices. Data gathered through log-file analysis customer registration, cookies and other tracking devices can be used to personalize each visitor's experience, find trends in customer use and measure the effectiveness of a Web site over time.

MANAGEMENT OF BUSINESS RESULTS OF WEB SITE MANAGEMENT PROGRAM BASED ON LOG FILE ANALYSIS (IMPLEMENTATION OF DDWS MODEL BY WLE PROGRAM SECTION)

2005 ◽  
Vol 11 (1) ◽  
pp. 325-334
Author(s):  
Mislav Šimunić
Keyword(s):  
Web Site ◽  
Management Program ◽  
Site Management ◽  
Log File Analysis ◽  
Business Results ◽  
Log File

Analiza log datoteke omogućuje jedinstveno i stalno prikupljanja podataka o ponašanju posjetitelja određenih web stranica. Naime, za svaku je tvrtku, odnosno poslovni sustav od izuzetne važnosti prikupiti što više korisnih informacija i detalja o interesu korisnicika svojih proizvoda i usluga. Činjenica je da se trendovi u svijetu sve dinamičnije mijenjaju i da ih je sve teže pratiti. U skladu sa time, jednom kreirane web stranice ne predstavljaju završen zadatak. Njihovo dotjerivanje, reorganiziranje mora biti stalan proces i to po mogućnostima u skladu sa dinamikom promjena na tržištu potražnje. Kroz daljnji tijek ovoga rada implementacijom će se predstaviti model permanentnog sustavnog praćenja, analiziranja i reorganiziranja web čvora, upravljivog prema ponašanju, odnosno aktivnostima korisnika u sklopu istoga. Za tu je svrhu pribavljen «postojeći, živi» sustav koji je za potrebe testiranja instaliran na lokalno računalo (IIS Server, Web baza, Web čvor HTZ-a). Funkcionalnošću WLE programskog rješenja obrazložit će se predstavljeni koncept stalne dinamike web čvora kao MMIM-a koji prema konceptu stalne dinamike može znatno utjecati na poboljšanje poslovnog rezultata.

PO-1777: Validation of the Pylinac software platform for MLC log file analysis

2020 ◽  
Vol 152 ◽  
pp. S989-S990
Author(s):  
J.F. Calvo Ortega ◽  
M. Hermida-López ◽  
S. Moragues-Femenía ◽  
C. Laosa-Bello ◽  
J. Casals-Farran
Keyword(s):  
Software Platform ◽  
Log File Analysis ◽  
Log File

scholarly journals Dictionary users do look up frequent words. A log file analysis

2014 ◽  
Author(s):  
Alexander Koplenig ◽  
Peter Meyer ◽  
Carolin Müller-Spitzer
Keyword(s):  
Log File Analysis ◽  
Log File

The Dynamics of Web Traffic

2018 ◽  
pp. 82-101
Author(s):  
Bruce Rogers
Keyword(s):  
Mathematical Models ◽  
Power Law ◽  
Equity Market ◽  
Biological Species ◽  
Web Traffic ◽  
New Models ◽  
Over Time ◽  
The Web

This chapter aims to build better models of web traffic. It shows how web traffic is roughly power law distributed, in which a highly concentrated “head” of the Web is coupled with a long, diffuse “tail” of tiny sites. These power law-like patterns have provoked vigorous debate about whether the Web is dominated by new or old elites. To address these issues, this chapter builds new models that scale seamlessly from the largest websites down to hundreds of smaller ones. It builds and tests these models with a rich dataset from Hitwise, a web measurement firm. As this chapter shows, digital audience growth follows predictable patterns. These patterns look much like the growth of cities over time, or the fluctuations of stocks on an equity market (more on that shortly), or even the growth and decline of biological species. This chapter borrows mathematical models and techniques from other disciplines to demonstrate these patterns, focus with a focus on understanding the principles and intuition behind the models.

scholarly journals Multivariate log file analysis for multi-leaf collimator failure prediction in radiotherapy delivery

2020 ◽  
Vol 15 ◽  
pp. 72-76
Author(s):  
Arkadiusz Mariusz Wojtasik ◽  
Matthew Bolt ◽  
Catharine H. Clark ◽  
Andrew Nisbet ◽  
Tao Chen
Keyword(s):  
Failure Prediction ◽  
Log File Analysis ◽  
Multi Leaf Collimator ◽  
Log File
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