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Analyzing clickstreams using subsessions

Jesper Andersen, Anders Giversen, Allan H. Jensen, Rune S. Larsen, Torben Bach Pedersen, Janne Skyt
2000 Proceedings of the 3rd ACM international workshop on Data warehousing and OLAP - DOLAP '00  
One of the major problems in clickstream analysis is sequences of clicks, which are difficult to handle using normal techniques.  ...  Analyzing data obtained from web server logs, so-called "clickstreams", is rapidly becoming one of the most important activities for companies in any sector as most businesses become ebusinesses.  ...  QUERYING AND DATA PROCESSING This section describes the information extraction from the Nykredit case clickstream data, and using the subsession model introduced in Section 5 for analyzing and interpreting  ... 
doi:10.1145/355068.355312 dblp:conf/dolap/AndersenGJLPS00 fatcat:hye5zhyhovdehjjb33dbqlkkzi

A collaborative filtering approach for recommending OLAP sessions

Julien Aligon, Enrico Gallinucci, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi
2015 Decision Support Systems  
; and (iii) adapt the top-ranked subsession to the current user's session.  ...  However, it is the first that treats sessions as first-class citizens, using new techniques for comparing sessions, finding meaningful recommendation candidates, and adapting them to the current session  ...  If in r the same measure for 2011 is analyzed by State instead, this rule can be used to adapt r by changing query group-by's from State to Region.  ... 
doi:10.1016/j.dss.2014.11.003 fatcat:oyuz4oehyvgppn62yqskx7fzre

Analyzing Student Strategies In Blended Courses Using Clickstream Data [article]

Nil-Jana Akpinar, Aaditya Ramdas, Umut Acar
2020 arXiv   pre-print
Fine-grained clickstream data is collected through Diderot, a non-commercial educational support system that spans a wide range of functionalities.  ...  We use pattern mining and models borrowed from Natural Language Processing (NLP) to understand student interactions and extract frequent strategies from a blended college course.  ...  (2) We propose new NLP-inspired approaches to analyzing student strategies' based on clickstream data in blended learning scenarios which typically come with moderately sized data sets.  ... 
arXiv:2006.00421v1 fatcat:xcyhhfgccvgclldw2er5tzzdam

Understanding user behavior in online social networks: a survey

Long Jin, Yang Chen, Tianyi Wang, Pan Hui, Athanasios V. Vasilakos
2013 IEEE Communications Magazine  
[6] analyze the user behavior of OSNs based on detailed clickstream data obtained from a social network aggregator, as illustrated in Fig. 1 .  ...  This article defines and analyzes the OSN session characteristics: • The frequency of accessing OSNs • Total time spent on OSNs • Session duration of OSNs Through the clickstream data, user activities  ... 
doi:10.1109/mcom.2013.6588663 fatcat:a6opi5hvjza5bivckays6hkv2u

Analysis of New Trends in the Web from a Network Perspective [article]

Fabian Schneider, Technische Universität Berlin, Technische Universität Berlin, Anja Feldmann
2010
., Facebook and LinkedIn) has caused a fundamental change in how the Internet is used. For example, certain OSN users are only using the OSN internal messaging instead of email.  ...  In this thesis, we study how users actually interact with OSNs by extracting anonymized clickstreams from passively monitored network traffic.  ...  [12] have analyzed clickstream data from a Brazilian social network aggregator.  ... 
doi:10.14279/depositonce-2512 fatcat:rz4qybwtvjgldijjtvuwadgirm

World Wide Web Personalization [chapter]

Olfa Nasraoui
Encyclopedia of Data Warehousing and Mining  
completing the missing pieces of a puzzle, each neural network is trained to predict the missing URLs of several complete ground-truth sessions from a given profile, given as input several incomplete subsessions  ...  Different Ways to Compute Recommendations Automatic Web personalization can analyze the data to compute recommendations in different ways, including: (1) Content-based or Item-based filtering -This system  ... 
doi:10.4018/9781591405573.ch233 fatcat:6xoeo2he7ja75njwshunsn4xgu

World Wide Web Personalization [chapter]

Olfa Nasraoui
Encyclopedia of Data Warehousing and Mining  
completing the missing pieces of a puzzle, each neural network is trained to predict the missing URLs of several complete ground-truth sessions from a given profile, given as input several incomplete subsessions  ...  Different Ways to Compute Recommendations Automatic Web personalization can analyze the data to compute recommendations in different ways, including: (1) Content-based or Item-based filtering -This system  ... 
doi:10.4018/978-1-59140-557-3.ch233 fatcat:3ft5cc4vgzhzdl2qwhffmpttfy

Http Log Analysis: An Approach to Studying the Use of Web-Based Information Systems

Kristian Billeskov Bøving, Jesper Simonsen
2004 Scandinavian Journal of Information Systems  
It can also be used to generate hypotheses, which were otherwise unthinkable.  ...  No prior research has used http log files as data to study collaboration between multiple users in organisational settings.  ...  "Analyzing Clickstreams Using Subsessions," Proceedings of the ACM Third International Workshop on Data Warehousing and OLAP (DOLAP'00), R. Missaoui and I.  ... 
dblp:journals/sjis/BovingS04 fatcat:d4m2mmp5fjebloms55jcr43imm

Business Intelligence on Non-Conventional Data

Enrico Coordinatore, Dottorato Relatore, Paolo Ciaccia, Rizzi
2017 unpublished
In the big data era, the amount and diversity of data that can be collected and analyzed for the decision-making process transcends the restricted and structured set of internal data that BI systems are  ...  The results obtained are used for determining users' topic profiles, and the possibility of analyzing them using OLAP techniques is not considered.  ...  The principle of analyzing instance values is used also by [130] and [32] , which apply machine learning techniques to schema matching.  ... 
fatcat:uekhffnqtreozpej576opg56k4