scholarly journals Virtual agent organizations for user behaviour pattern extraction in energy optimization processes: A new perspective

2020 ◽  
Author(s):  
Alfonso González-Briones ◽  
Javier Prieto ◽  
Fernando De La Prieta ◽  
Yves Demazeau ◽  
Juan M. Corchado
Keyword(s):  
Energy Optimization ◽  
Behaviour Pattern ◽  
Virtual Agent ◽  
Pattern Extraction ◽  
User Behaviour ◽  
New Perspective

How Intelligent Are Ambient Intelligence Systems?

2010 ◽  
Vol 2 (1) ◽  
pp. 66-72 ◽  
Author(s):  
María J. Santofimia ◽  
Francisco Moya ◽  
Félix J. Villanueva ◽  
David Villa ◽  
Juan C. López
Keyword(s):  
Ubiquitous Computing ◽  
Pattern Matching ◽  
Ambient Intelligence ◽  
Behaviour Pattern ◽  
Behavioral Patterns ◽  
Commonsense Reasoning ◽  
Complex Tasks ◽  
User Behaviour ◽  
User Actions ◽  
Rational Decisions

Since the appearance of the Ambient Intelligence paradigm, as an evolution of the Ubiquitous Computing, a great deal of the research efforts in this ?eld have been mainly aimed at anticipating user actions and needs, out of a pre?xed set. However, Ambient Intelligence is not just constrained to user behaviour pattern matching, but to wisely supervise the whole environment, satisfying those unforeseen requirements or needs, by means of rational decisions. This work points at the lack of commonsense reasoning, as the main reason underlying the existance of these idiots savant systems, capable of accomplishing very speci?c and complex tasks, but incapable of making decisions out of the pre?xed behavioral patterns. This work advocates for the integration of the commonsense reasoning and understanding capabilities as the key elements in bridging the gap between idiot savant systems and real Ambient Intelligence systems.

scholarly journals Web Usage Mining: A Survey on Pattern Extraction from Web Logs

2011 ◽  
pp. 15-23
Author(s):  
S. K. Pani ◽  
L. Panigrahy ◽  
V.H. Sankar ◽  
A.K. Manda ◽  
S.K. Padhi ◽  
...  
Keyword(s):  
Web Usage Mining ◽  
Pattern Extraction ◽  
User Behaviour ◽  
Web Usage ◽  
Log Files ◽  
Web Logs ◽  
Interesting Pattern ◽  
Web Access ◽  
The Web

As the size of web increases along with number of users, it is very much essential for the website owners to better understand their customers so that they can provide better service, and also enhance the quality of the website. To achieve this they depend on the web access log files. The web access log files can be mined to extract interesting pattern so that the user behaviour can be understood. This paper presents an overview of web usage mining and also provides a survey of the pattern extraction algorithms used for web usage mining.

scholarly journals Mutual Information Pre-processing Based Broken-stick Linear Regression Technique for Web User Behaviour Pattern Mining

2021 ◽  
Vol 14 (1) ◽  
pp. 244-256
Author(s):  
Gokulapriya Raman ◽  
◽  
Ganesh Raj ◽  
Keyword(s):  
Linear Regression ◽  
Mutual Information ◽  
Pattern Mining ◽  
False Positive Rate ◽  
Behaviour Pattern ◽  
Time Requirement ◽  
User Behaviour ◽  
Web Log ◽  
Log Files ◽  
Positive Rate

Web usage behaviour mining is a substantial research problem to be resolved as it identifies different user’s behaviour pattern by analysing web log files. But, accuracy of finding the usage behaviour of users frequently accessed web patterns was limited and also it requires more time. Mutual Information Pre-processing based Broken-Stick Linear Regression (MIP-BSLR) technique is proposed for refining the performance of web user behaviour pattern mining with higher accuracy. Initially, web log files from Apache web log dataset and NASA dataset are considered as input. Then, Mutual Information based Pre-processing (MI-P) method is applied to compute mutual dependence between the two web patterns. Based on the computed value, web access patterns which relevant are taken for further processing and irrelevant patterns are removed. After that, Broken-Stick Linear Regression analysis (BLRA) is performed in MIPBSLR for Web User Behaviour analysis. By applying the BLRA, the frequently visited web patterns are identified. With the identification of frequently visited web patterns, MIP-BSLR technique exactly predicts the usage behaviour of web users, and also increases the performance of web usage behaviour mining. Experimental evaluation of MIPBSLR method is conducted on factors such as pattern mining accuracy, false positives, time requirements and space requirements with respect to number of web patterns. Outcomes show that the proposed technique improves the pattern mining accuracy by 14%, and reduces the false positive rate by 52%, time requirement by 19% and space complexity by 21% using Apache web log dataset as compared to conventional methods. Similarly, the pattern mining accuracy of NASA dataset is increased by 16% with the reduction of false positive rate by 47%, time requirement by 20% and space complexity by 22% as compared to conventional methods.

ANALYZING USER BEHAVIOUR AND PAGE VIEWS BASED ON VISITOR TRAFFIC IN KOLEJ UNIVERSITI POLY-TECH MARA WEBSITE USING GOOGLE ANALYTIC

2020 ◽  
Vol 5 (1) ◽  
pp. 446
Author(s):  
Shuhadah Othman ◽  
Rukhiyah Adnan ◽  
Mohamed Ghazali Khairuzzaman ◽  
Noraini Ismail
Keyword(s):  
User Interaction ◽  
External Stimulus ◽  
Behaviour Pattern ◽  
The Internet ◽  
Website Design ◽  
Effective Solution ◽  
User Behaviour ◽  
Number Of Visits ◽  
Crucial Part ◽  
The Web

The approach of the Internet has affected organizations in numerous features. The website has become an integral part of the organizations, from publicizing the organization's profile to giving web services. This study is to evaluate and analyze user behaviour pattern at Kolej Universiti Poly-Tech MARA (KUPTM) website using Google Analytics (GA) as one of the web analytic tools. Website design and its services have become a crucial part for Higher Education Institutions (HEIs) to attract users in visiting their website. Therefore, the use of web analytic tools can be an effective solution in measuring, analyzing and identifying the traffic sources for a website. Google tag was added to all KUPTM’s website and the measurement periods has been done between May 2019 and October 2019. Results have shown that the number of visitors is significantly higher during the weekdays and are affected by external stimulus. An external stimulus, such as promotional activities would increase the number of website visitors. The visit trends show weekly fluctuation in the numbers. It records high numbers of visits during the weekdays and fewer visitors during the weekend. The fluctuation could be due to the number of visits were from internal users, i.e. KUPTM employees and students. The capability of Google Analytics to analyze website traffics in terms of collecting data regarding page views, user interaction flow and visitor behaviour will benefit the organization for making a decision.

How Intelligent are Ambient Intelligence Systems?

2011 ◽  
pp. 65-70
Author(s):  
María J. Santofimia ◽  
Francisco Moya ◽  
Félix J. Villanueva ◽  
David Villa ◽  
Juan C. López
Keyword(s):  
Ubiquitous Computing ◽  
Pattern Matching ◽  
Ambient Intelligence ◽  
Behaviour Pattern ◽  
Behavioral Patterns ◽  
Commonsense Reasoning ◽  
Complex Tasks ◽  
User Behaviour ◽  
User Actions ◽  
Rational Decisions

Since the appearance of the Ambient Intelligence paradigm, as an evolution of the Ubiquitous Computing, a great deal of the research efforts in this field have been mainly aimed at anticipating user actions and needs, out of a prefixed set. However, Ambient Intelligence is not just constrained to user behaviour pattern matching, but to wisely supervise the whole environment, satisfying those unforeseen requirements or needs, by means of rational decisions. This work points at the lack of commonsense reasoning, as the main reason underlying the existance of these idiots savant systems, capable of accomplishing very specific and complex tasks, but incapable of making decisions out of the prefixed behavioral patterns. This work advocates for the integration of the commonsense reasoning and understanding capabilities as the key elements in bridging the gap between idiot savant systems and real Ambient Intelligence systems.

User Behaviour Pattern Mining from Weblog

2012 ◽  
Vol 8 (2) ◽  
pp. 1-22 ◽  
Author(s):  
Vishnu Priya ◽  
A. Vadivel
Keyword(s):  
Pattern Mining ◽  
Sequential Patterns ◽  
Behaviour Pattern ◽  
User Behaviour ◽  
Minimum Support ◽  
Interactive Mining ◽  
Frequent Items

In this paper, the authors build a tree using both frequent as well as non-frequent items and named as Revised PLWAP with Non-frequent Items RePLNI-tree in single scan. While mining sequential patterns, the links related to the non-frequent items are virtually discarded. Hence, it is not required to delete or maintain the information of nodes while revising the tree for mining updated weblog. It is not required to reconstruct the tree from scratch and re-compute the patterns each time, while weblog is updated or minimum support changed, since the algorithm supports both incremental and interactive mining. The performance of the proposed tree is better, even the size of incremental database is more than 50% of existing one, while it is not so in recently proposed algorithm. For evaluation purpose, the authors have used the benchmark weblog and found that the performance of proposed tree is encouraging compared to some of the recently proposed approaches.

SREM observation of the interaction between the in-situ deposited Pd small particles and MgO cleavage surface

1986 ◽  
Vol 44 ◽  
pp. 382-383
Author(s):  
H.-J. Ou
Keyword(s):  
Electron Microscopy ◽  
Small Particle ◽  
Small Particles ◽  
Cleavage Surface ◽  
Metallic Particles ◽  
Microscopy Technique ◽  
Ceramic Surfaces ◽  
Reflection Electron Microscopy ◽  
New Perspective

The understanding of the interactions between the small metallic particles and ceramic surfaces has been studied by many catalyst scientists. We had developed Scanning Reflection Electron Microscopy technique to study surface structure of MgO hulk cleaved surface and the interaction with the small particle of metals. Resolutions of 10Å has shown the periodic array of surface atomic steps on MgO. The SREM observation of the interaction between the metallic particles and the surface may provide a new perspective on such processes.

Articulation Training: A New Perspective

1979 ◽  
Vol 10 (3) ◽  
pp. 145-151 ◽  
Author(s):  
Sallie W. Hillard ◽  
Laura P. Goepfert
Keyword(s):  
Life Experience ◽  
Remediation Measures ◽  
New Perspective

This paper describes the concept of teaching articulation through words which have inherent meaning to a child’s life experience, such as a semantically potent word approach. The approach was used with six children. Comparison of pre/post remediation measures indicated that it has promise as a technique for facilitating increased correct phoneme production.

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