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An Analysis of Frequent Patterns in the World Trade Web [article]

Maddalena D'Anna, Alfredo Petrosino
2018 arXiv   pre-print
The World Trade Web (WTW) is characterized by the following representation: a directed graph connecting world Countries with trade relationships, with the aim of finding its topological characterization  ...  This paper employs a weighted network approach to study the empirical properties of the web of trade relationships among world countries, and its evolution over time.  ...  ; food networks in ecology; electronic circuits and routing algorithms in engineering; the World Trade Web (WTW from now on) in economics.  ... 
arXiv:1803.07265v1 fatcat:24s4yq2jnnhiln5b7moaajrocu

Comparative Analysis of Web Usage Mining

Adarsh Gupta, Mukul Atawnia, Rohan Wadhwa, Shreya Mahar, Vinita Rohilla
2017 IJARCCE  
The World-Wide Web provides every internet citizen with access to a lot of information, but it is becoming increasingly difficult to identify those pieces of information that are relevant to the user.  ...  Research in areas of web mining tries to address this problem of web data by applying techniques from data mining on it.  ...  Web mining is an application of data mining which has become an important area of research due to vast amount of World Wide Web services in recent years.  ... 
doi:10.17148/ijarcce.2017.6461 fatcat:oesmk66lxrchdkt5kpcot3rmmi

Gravity Model: A Bibliometric Analysis and Detailed Overview

Ismail Metin, Gencay Tepe
2021 International Journal of Business and Society  
Originating from Newton's gravitational theory which was posed in 1687; the concept of gravity equation was primarily used by Tinbergen in the field of international trade analysis in 1962.  ...  In this study, we collected the data between 1980-2020 from Scopus and Web of Science database and analysed using the Gephi, Vosviewer and R Studio programmes in order to be used in our bibliometric analysis  ...  2004 380 27 27 17 29 13 493 Insecurity and the pattern of trade: An empirical investigation 2002 233 20 17 27 19 18 334 One money, one market: The effect of common currencies on trade  ... 
doi:10.33736/ijbs.3183.2021 fatcat:ifuwdrsfurcofi23whq74toife

A Novel Approach for Web Personalization

Monika Dhandi, Rajesh Kumar
2016 International Journal of Computer Applications  
In this paper, our motive of web usage mining is to discover users' access patterns of web pages automatically and quickly from the huge sever access log records, such as frequently visited hyperlinks,  ...  In the present word web is huge storage of information and it will keep increasing with growing of internet technologies.  ...  …..3 Step 5-Pattern Analysis-Search in matrix for frequent pattern as user usage analysis.  ... 
doi:10.5120/ijca2016911849 fatcat:f7hpjlujzbhzdk6lzndush2h6y

Personalized web search on e-commerce using ontology based association mining

B. Sekhar Babu, P. Lakshmi Prasanna, P. Vidyullatha
2017 International Journal of Engineering & Technology  
In current days, World Wide Web has grown into a familiar medium to investigate the new information, Business trends, trading strategies so on.  ...  In this situation huge amount of data is obtained and dumped into the web services.  ...  Web content mining involves in frequently searching information resources in web pages and web usage mining is associated to determine user access patterns from web usage data.  ... 
doi:10.14419/ijet.v7i1.1.9487 fatcat:qrljdpzp2zb6pnvoircpskl644

Extracting Frequent Sequences from Web Log Data using Sequence Tree Algorithm
IJARCCE - Computer and Communication Engineering

Priyanka Baraskar, Supriya Chavan, Dipshree Dhage, Samruddhi Giri,, Jayashree Jha
2015 IJARCCE  
The aim of discovering frequent sequential patterns in Web log data is to obtain information about the access behaviour of the users.  ...  Sequential Pattern mining is the process of applying data mining techniques to large web data repositories.With the extensive use of Internet, discovery and analysis of useful information from the World  ...  Web structure mining is the process of extracting hyperlink patterns from the web. Web usage mining is an important application of sequential pattern mining.  ... 
doi:10.17148/ijarcce.2015.4303 fatcat:den6f54nkja4vpsbsnlbkrjvru

Agricultural Trade Networks and Patterns of Economic Development

Shade T. Shutters, Rachata Muneepeerakul, Rodrigo Huerta-Quintanilla
2012 PLoS ONE  
Here we apply social network analytics to the international trade network of agricultural products to better understand the nature of this network and its relation to patterns of international development  ...  To better understand this unique network signature, we examine in more detail the degree and triadic distributions within the trade network by country and commodity.  ...  Dalin helped with data preparation and comments on an earlier version of this paper. B. Butterfield, J. Waters, and two anonymous reviewers provided valuable feedback. Author Contributions  ... 
doi:10.1371/journal.pone.0039756 pmid:22768310 pmcid:PMC3388097 fatcat:vkdqzzerr5hmzmzackkjw4grdy

A Comparative Study of Rule Mining Based Web Usage Mining Algorithms

2015 International Journal of Science and Research (IJSR)  
This work compares the two standard web usage mining algorithms namely Apriori algorithm and Frequent Pattern algorithm.  ...  Particularly, this work focused on discovering the web usage patterns of websites from the server log files.  ...  SpeedTracer, a World Wide Web usage mining and analysis tool, was developed to understand user surfing behavior by exploring the Web Cooley et al (1999) presents several data preparation techniques in  ... 
doi:10.21275/v4i11.nov151367 fatcat:fnpkq44panbpljxd5nnofqcn3m

Triadic Motifs in the Partitioned World Trade Web

Antonio Maratea, Alfredo Petrosino, Mario Manzo
2016 Procedia Computer Science  
The case study is the World Trade Web (WTW), that is the directed graph connecting world Countries with trade relationships, with the aim of finding its topological characterization in terms of motifs  ...  The WTW has been split based on the weights of the graph to highlight structural differences between the big players in terms of volumes of trade and the rest of the world.  ...  ; food networks in ecology; electronic circuits and routing algorithms in engineering; the World Trade Web (WTW from now on) in economics.  ... 
doi:10.1016/j.procs.2016.09.079 fatcat:736fnl6glrfjdn7uinvwlp6sra

The Global Image of Shenzhen: A Corpus-Based Critical Discourse Analysis of Media Discourses

Zhide Hou
2018 International Journal of English Linguistics  
This article studies the media representations of Shenzhen’s global image by adopting the corpus-based critical discourse analysis.  ...  Negative representations associated with Shenzhen Stock trading drop, landslide accident and Apple’s Foxconn problems are amplified in media discourses.  ...  Acknowledgements The work described in this paper was substantially supported by the Project of Philosophy and Social Sciences Sponsored by Shenzhen Association of Social Sciences (Project No.: SZ2018B025  ... 
doi:10.5539/ijel.v9n1p169 fatcat:7xy66b3jgnakzjn2cbnre4lj74

A Review: Study of various Ant Colony Optimization Techniques
IJARCCE - Computer and Communication Engineering

Chandana A. Nighut, Samira F. Nigrel
2015 IJARCCE  
Web usage mining attempts to find out useful facts from the secondary data obtained from the communications of the users with the Web.  ...  The hasty e-commerce development has made equally trade community and consumers face a novel situation.  ...  Conclusion is presented in Section IV. II. MOTIVATION Millions of users access web sites in all over the world.  ... 
doi:10.17148/ijarcce.2015.4262 fatcat:cd5pbpe4kncy3mrzz2ixknqj2y

Mining the Dark Web: A Novel Approach for Placing a Dark Website under Investigation

Bassel Alkhatib, Syrian Virtual University, Damascus, Syria Al-Sham Private University, Damascus, Syria, Randa S. Basheer
2019 International Journal of Modern Education and Computer Science  
In this paper, we introduce our approach of utilizing data mining techniques to produce useful patterns from a dark web market contents.  ...  In the last two decades, illicit activities have dramatically increased on the Dark Web.  ...  The patterns of the frequently used words may give the analyzer an idea about the most promoted products or the most used combinations of words in titling products.  ... 
doi:10.5815/ijmecs.2019.10.01 fatcat:genmq4leyvhrrmid7k4nfu5vqu

Application-Specific Schema Design for Storing Large RDF Datasets

Luping Ding, Kevin Wilkinson, Craig Sayers, Harumi A. Kuno
2003 Practical and Scalable Semantic Systems  
In order to realize the vision of the Semantic Web, a semantic model for encoding content in the World Wide Web, efficient storage and retrieval of large RDF data sets is required.  ...  The second tool mines an RDF graph or an RDF query log for frequently occurring patterns. Knowledge of these patterns can be applied to schema design or caching strategies to improve performance.  ...  Acknowledgements The authors wish to thank Jeremy Carroll, Ian Dickinson, Dave Reynolds and Andy Seaborne for their helpful comments on an earlier draft of this paper.  ... 
dblp:conf/psss/DingWSK03 fatcat:pmspdvhh6ranzf4o5xn5otijkm

Association and Sequence Mining in Web Usage

Claudia Elena DINUCA
2011 Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics  
The focus of this paper is to provide an overview how to use frequent pattern techniques for discovering different types of patterns in a Web log database.  ...  The discovered patterns are usually represented as collections of pages, objects, or re-sources that are frequently accessed by groups of users with common needs or interests.  ...  The current study intends to add an improvement in sessions' identification by determining an average time of page visiting the sites for the visit duration determined by analysis of web site visit duration  ... 
doaj:e42bcf10ac6d4b26a224040477ff09d6 fatcat:p5zagjgx3rbyrdnlkoevxhxvgu

Introduction to the special issue on mining and learning with graphs

S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel
2010 Machine Learning  
Driven by application areas ranging from biology to the World Wide Web, research in Data Mining and Machine Learning is nowadays increasingly focusing on the analysis of structured data.  ...  The aim of this special issue is to bring together papers from different sub-disciplines within Machine Learning and Data Mining that focus on the analysis of structured data.  ...  Acknowledgements We are much indebted to our authors and reviewers, who put a tremendous amount of effort to make this issue happen.  ... 
doi:10.1007/s10994-010-5209-4 fatcat:nkqdpuwjabejnbrrvfyyjyzgeq
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