Advanced web analytics tool for mouse tracking and real-time data processing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F17%3A39911623" target="_blank" >RIV/00216275:25530/17:39911623 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/INFORMATICS.2017.8327288" target="_blank" >http://dx.doi.org/10.1109/INFORMATICS.2017.8327288</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/INFORMATICS.2017.8327288" target="_blank" >10.1109/INFORMATICS.2017.8327288</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Advanced web analytics tool for mouse tracking and real-time data processing

Popis výsledku v původním jazyce

Web analytic tools offer important support for better recognition of the web user’s behavior, identification of bottlenecks and errors in user interface design, performance measurement of web environment, monitoring of website availability or recommendation of appropriate website content. These tools are based on tracking techniques and sophisticated algorithms that process and evaluate large volumes of captured data. In this paper, we propose a new solution to capture mouse movements of web users, to identify their area of interest. This solution is based on real-time data transformation, which converts discrete position data with high sample period to predefined functions. This transformation has a high degree of accuracy, which is exemplified by case scenarios. The result of this solution is a significant saving in data, transmitted from the client to the server, which leads to significant savings in system resources on the server side

Název v anglickém jazyce

Advanced web analytics tool for mouse tracking and real-time data processing

Popis výsledku anglicky

Web analytic tools offer important support for better recognition of the web user’s behavior, identification of bottlenecks and errors in user interface design, performance measurement of web environment, monitoring of website availability or recommendation of appropriate website content. These tools are based on tracking techniques and sophisticated algorithms that process and evaluate large volumes of captured data. In this paper, we propose a new solution to capture mouse movements of web users, to identify their area of interest. This solution is based on real-time data transformation, which converts discrete position data with high sample period to predefined functions. This transformation has a high degree of accuracy, which is exemplified by case scenarios. The result of this solution is a significant saving in data, transmitted from the client to the server, which leads to significant savings in system resources on the server side

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceeding of 2017 IEEE 14TH International Scientific Conference on Informatics

ISBN

978-1-5386-0888-3

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

5

Strana od-do

431-435

Název nakladatele

IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání

New York

Místo konání akce

Poprad

Datum konání akce

14. 11. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—