Assessing Symptoms of Excessive SNS Usage Based on User Behavior and Emotion: Analysis of Log Data

2017 ◽  
pp. 387-397
Author(s):  
Ploypailin Intapong ◽  
Saromporn Charoenpit ◽  
Tiranee Achalakul ◽  
Michiko Ohkura
Keyword(s):  
User Behavior ◽  
Emotion Analysis ◽  
Log Data

scholarly journals User Behavior Analysis by Cross-Domain Log Data Fusion

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 400-406
Author(s):  
Ye Tao ◽  
Shuaitong Guo ◽  
Cao Shi ◽  
Dianhui Chu
Keyword(s):  
Data Fusion ◽  
Behavior Analysis ◽  
User Behavior ◽  
User Behavior Analysis ◽  
Log Data ◽  
Cross Domain

Detecting and monitoring game bots based on large-scale user-behavior log data analysis in multiplayer online games

2015 ◽  
Vol 72 (9) ◽  
pp. 3572-3587 ◽  
Author(s):  
YeonJun Choi ◽  
SungJune Chang ◽  
YongJun Kim ◽  
HunJoo Lee ◽  
WookHo Son ◽  
...  
Keyword(s):  
Data Analysis ◽  
Large Scale ◽  
User Behavior ◽  
Online Games ◽  
Log Data ◽  
Multiplayer Online Games ◽  
Log Data Analysis

Understanding User Behavior Through Log Data and Analysis

2014 ◽  
pp. 349-372 ◽  
Author(s):  
Susan Dumais ◽  
Robin Jeffries ◽  
Daniel M. Russell ◽  
Diane Tang ◽  
Jaime Teevan
Keyword(s):  
User Behavior ◽  
Log Data

EMOTION ANALYSIS IN SYLVIA PLATH POETRY “DADDY”

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Safnidar Siahaan
Keyword(s):  
Sylvia Plath ◽  
Emotion Analysis ◽  
Log Data

In this analysis, the writer chooses poetry entitled “Daddy” written  by Sylvia Plath.  The aim of this analysis is to find emotion expressed in the poetry. The result of this analysis conclude that feeling of sadness often expressed in this poem because the poem describes the grief and suffering experienced during the Nazy German. The situation made Plat depression and despair, but she tried to get up and running her life for victory. Based on this analysis, there are emotions showing sadness, disgust, anger, anxiety, happiness, guilt, and love. In collecting the data, the writer applies the method and technique of observation log. Data taken from the poem “Daddy” and analyzed by using the theory of psychology of emotion discovered by Minderop (2003)

scholarly journals Data Mining in the Development of Mobile Health Apps: Assessing In-App Navigation Through Markov Chain Analysis (Preprint)

2018 ◽  
Author(s):  
Jeroen Stragier ◽  
Gilles Vandewiele ◽  
Paulien Coppens ◽  
Femke Ongenae ◽  
Wendy Van den Broeck ◽  
...  
Keyword(s):  
Data Mining ◽  
Markov Chain ◽  
Mobile Health ◽  
User Behavior ◽  
Mobile Apps ◽  
User Behavior Analysis ◽  
Log Data ◽  
Sequence Clustering ◽  
User Data ◽  
Using Data

BACKGROUND Mobile apps generate vast amounts of user data. In the mobile health (mHealth) domain, researchers are increasingly discovering the opportunities of log data to assess the usage of their mobile apps. To date, however, the analysis of these data are often limited to descriptive statistics. Using data mining techniques, log data can offer significantly deeper insights. OBJECTIVE The purpose of this study was to assess how Markov Chain and sequence clustering analysis can be used to find meaningful usage patterns of mHealth apps. METHODS Using the data of a 25-day field trial (n=22) of the Start2Cycle app, an app developed to encourage recreational cycling in adults, a transition matrix between the different pages of the app was composed. From this matrix, a Markov Chain was constructed, enabling intuitive user behavior analysis. RESULTS Through visual inspection of the transitions, 3 types of app use could be distinguished (route tracking, gamification, and bug reporting). Markov Chain–based sequence clustering was subsequently used to demonstrate how clusters of session types can otherwise be obtained. CONCLUSIONS Using Markov Chains to assess in-app navigation presents a sound method to evaluate use of mHealth interventions. The insights can be used to evaluate app use and improve user experience.

ANALISA POTENSI MINYAK DAN GAS BUMI DENGAN ATRIBUT SEISMIK PADA BATUAN KARBONAT LAPANGAN *ZEFARA* CEKUNGAN SUMATRA SELATAN

KURVATEK ◽  
2017 ◽  
Vol 1 (2) ◽  
pp. 21-31
Author(s):  
Fatimah Miharno
Keyword(s):  
Instantaneous Frequency ◽  
Carbonate Reservoir ◽  
Control Analysis ◽  
High Porosity ◽  
Hydrocarbon Accumulation ◽  
Seismic Attribute ◽  
Data Set ◽  
Log Data ◽  
Low Amplitude ◽  
Rms Amplitude

ABSTRACT*Zefara* Field formation Baturaja on South Sumatra Basin is a reservoir carbonate and prospective gas. Data used in this research were 3D seismik data, well logs, and geological information. According to geological report known that hidrocarbon traps in research area were limestone lithological layer as stratigraphical trap and faulted anticline as structural trap. The study restricted in effort to make a hydrocarbon accumulation and a potential carbonate reservoir area maps with seismic attribute. All of the data used in this study are 3D seismic data set, well-log data and check-shot data. The result of the analysis are compared to the result derived from log data calculation as a control analysis. Hydrocarbon prospect area generated from seismic attribute and are divided into three compartments. The seismic attribute analysis using RMS amplitude method and instantaneous frequency is very effective to determine hydrocarbon accumulation in *Zefara* field, because low amplitude from Baturaja reservoir. Low amplitude hints low AI, determined high porosity and high hydrocarbon contact (HC).  Keyword: Baturaja Formation, RMS amplitude seismic attribute, instantaneous frequency seismic attribute

A Web Usage Mining Approach to User Navigation Pattern and Prediction in Web Log Data

2012 ◽  
Vol 3 (4) ◽  
pp. 92-94
Author(s):  
SUJATHA PADMAKUMAR ◽  
◽  
Dr.PUNITHAVALLI Dr.PUNITHAVALLI ◽  
Dr.RANJITH Dr.RANJITH
Keyword(s):  
Web Usage Mining ◽  
Log Data ◽  
Web Log ◽  
Web Usage ◽  
User Navigation
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