Zobrazeno 1 - 10
of 41
pro vyhledávání: '"click stream analysis"'
Publikováno v:
IEEE Access, Vol 9, Pp 42786-42800 (2021)
Pattern mining is an unsupervised data mining approach aims to find interesting patterns that can be used to support decision-making. High Utility Pattern Mining (HUPM) aims to extract patterns having high utility or importance which has broad applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36267e1fd6bfbe363723ff1373d83663
https://doi.org/10.1109/access.2021.3065393
https://doi.org/10.1109/access.2021.3065393
Publikováno v:
Marketing (Beograd. 1991), Vol 39, Iss 4, Pp 125-131 (2008)
The concept of Customer Relationship Management has emerged around the maxim on the essential importance of the customers for business success of the company. The vital role in the concept development is assigned to an employment of the various infor
Externí odkaz:
https://doaj.org/article/92026c992bd24806ba5bed08a72b7de9
Die Analyse des Zugriffsverhaltens auf Web-Seiten ist von großer Wichtigkeit, um die Attraktivität und Nützlichkeit von Internet-Angeboten zu bewerten und Rückschlüsse auf eine Verbesserung der Web-Präsentation zu erhalten. Im kommerziellen Umf
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A31946
https://ul.qucosa.de/api/qucosa%3A31946/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A31946/attachment/ATT-0/
Autor:
Grzegorz Chodak, Grażyna Suchacka
Publikováno v:
Information Systems and e-Business Management. 15:751-780
The paper addresses the problem of e-customer behavior characterization based on Web server log data. We describe user sessions with the number of session features and aim to identify the features indicating a high probability of making a purchase fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddf5eb5c76353583dc24e3bcea730b38
https://doi.org/10.1007/s10257-016-0329-4
https://doi.org/10.1007/s10257-016-0329-4
Autor:
D. Anusha
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 6:2764-2766
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e7636a76b5c3f28fa4e2c40ae103a51
https://doi.org/10.22214/ijraset.2018.3611
https://doi.org/10.22214/ijraset.2018.3611
Publikováno v:
Handbook of Mobile Data Privacy ISBN: 9783319981604
Handbook of Mobile Data Privacy
Handbook of Mobile Data Privacy
Data analysis is becoming a popular tool to gain marketing insights from heterogeneous and often unstructured sensor data. Online stores make use of click stream analysis to understand customer intentions. Meanwhile, retail companies transition to lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04ca86be56dc973b87b3fbf56499ee2e
https://doi.org/10.1007/978-3-319-98161-1_3
https://doi.org/10.1007/978-3-319-98161-1_3
Autor:
Hung Long Nguyen
Publikováno v:
International Journal of Intelligent Systems and Applications. 7:41-48
Weighted frequent itemset mining is more practical than traditional frequent itemset mining, because it can consider different semantic significance (weight) of items. Many models and algorithms for mining weighted frequent itemsets have been propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80dff7979ea88f5197bc138dce54d06a
https://doi.org/10.5815/ijisa.2015.11.06
https://doi.org/10.5815/ijisa.2015.11.06
Autor:
Grzegorz Chodak, Grażyna Suchacka
Publikováno v:
Scopus-Elsevier
ECMS
ECMS
Web traffic characterization and modelling is currently a hot research issue. Low-level analysis of HTTP traffic on the server allows one to build adequate traffic models to be used in server benchmarking. High-level analysis of Web user behavior all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb3bfb008fcb90824bf6a558c30cbbb9
http://apps.webofknowledge.com.wos.han.uni.opole.pl/Search.do?product=WOS&SID=T2XLnDNWuz9tYGfjhWY&search_mode=GeneralSearch&prID=3cd202eb-e254-4430-9197-d828a4f4e809
http://apps.webofknowledge.com.wos.han.uni.opole.pl/Search.do?product=WOS&SID=T2XLnDNWuz9tYGfjhWY&search_mode=GeneralSearch&prID=3cd202eb-e254-4430-9197-d828a4f4e809
Publikováno v:
ACM SIGKDD Explorations Newsletter. 6:147-151
In this report, we summarize the contents and outcomes of the recent WebKDD 2004 workshop that was held in conjunction with the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2004), August 22-25, 2004, in Seattle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3f01004f8406e9ec53a53a10c9d75b6
https://doi.org/10.1145/1046456.1046484
https://doi.org/10.1145/1046456.1046484
Autor:
Madhu Siddalingaiah, Sameer Wadkar
Publikováno v:
Pro Apache Hadoop ISBN: 9781430248637
The explosive growth of the Web toward the end of the 20th century led to web scale data, particularly log files. Suddenly, everyone who had a web site generated lots and lots of web access logs that were initially used as to debug problems with a we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bda8febcfb0f95f5893e95fc2d2427b
https://doi.org/10.1007/978-1-4302-4864-4_13
https://doi.org/10.1007/978-1-4302-4864-4_13