scholarly journals Redundancy Analysis and Elimination on Access Patterns of the Windows Applications Based on I/O Log Data

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 40640-40655
Author(s):  
Jun-Ha Lee ◽  
Hyuk-Yoon Kwon
Keyword(s):  
Redundancy Analysis ◽  
Log Data ◽  
Windows Applications ◽  
Access Patterns

scholarly journals WEB ADAPTIF MENGGUNAKAN ALGORITMA FREQUENT WEB DOCUMENT PATTERN (FWDP) PADA WEBSITE UNIVERSITAS RESPATI

Respati ◽  
2017 ◽  
Vol 7 (20) ◽  
Author(s):  
Indra Listiawan
Keyword(s):  
Association Rule ◽  
Adaptive System ◽  
Log Data ◽  
Web Log ◽  
Web Document ◽  
The People ◽  
Information Page ◽  
Access Patterns ◽  
Data Log ◽  
Speed And Accuracy

An Institution Website is a profile of an institution for the people who directly or indirectly related to the agency. Some problems related to the performance of a web are the speed and accuracy of presentation of the information needed by the community.Technology of adaptive Website is one of technology that attempted to simplify the user to find the information that need from a website. The technology is based on web log. Log is used as a reference for the access patterns are realized in the form of recommendations links to information that is often accessed by people from the website. Log data processing performed by implemented the FWDPTree algorithm to get a particular tree structure that stores information page along with the frequency of occurrence, then performed datamining by algorithm FWDP-mine.This Technology has been able  to reach information more quickly There are still weaknesses in this system. The adaptive system has not been able to make the process of adaptation in realtime, this is due to the need for time to process large log data in order to obtain the user's access patterns, while the session that occurred during the offline process does not processed. Keywords— Adaptive web, Data Log, FWDP Algorithm, Association Rule, Realtime 

scholarly journals An Application of Improved Gap-BIDE Algorithm for Discovering Access Patterns

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Xiuming Yu ◽  
Meijing Li ◽  
Taewook Kim ◽  
Seon-phil Jeong ◽  
Keun Ho Ryu
Keyword(s):  
Pattern Mining ◽  
Sequential Pattern ◽  
Access Pattern ◽  
Large Database ◽  
Log Data ◽  
Web Log ◽  
Mining Algorithm ◽  
User Access ◽  
Access Patterns ◽  
Mining Algorithms

Discovering access patterns from web log data is a typical sequential pattern mining application, and a lot of access pattern mining algorithms have been proposed. In this paper, we propose an improved approach of Gap-BIDE algorithm to extract user access patterns from web log data. Compared with the previous Gap-BIDE algorithm, a process of getting a large event set is proposed in the provided algorithm; the proposed approach can find out the frequent events by discarding the infrequent events which do not occur continuously in an accessing time before generating candidate patterns. In the experiment, we compare the previous access pattern mining algorithm with the proposed one, which shows that our approach is very efficient in discovering access patterns in large database.

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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