1,721,013 research outputs found
Concurrency in Web Access Patterns Mining
No full textWeb usage mining is an interesting application of data mining which provides insight into customer behaviour on the Internet. An important technique to discover user access and navigation trails is based on sequential patterns mining. One of the key challenges for web access patterns mining is tackling the problem of mining richly structured patterns. This paper proposes a novel model called Web Access Patterns Graph (WAP-Graph) to represent all of the access patterns from web mining graphically. WAP-Graph also motivates the search for new structural relation patterns, i.e. Concurrent Access Patterns (CAP), to identify and predict more complex web page requests. Corresponding CAP mining and modelling methods are proposed and shown to be effective in the search for and representation of concurrency between access patterns on the web. From experiments conducted on large-scale synthetic sequence data as well as real web access data, it is demonstrated that CAP mining provides a powerful method for structural knowledge discovery, which can be visualised through the CAP-Graph model
Applications of concurrent access patterns in web usage mining
Full text linkThis paper builds on the original data mining and modelling research which has proposed the discovery of novel structural relation patterns, applying the approach in web usage mining. The focus of attention here is on concurrent access patterns (CAP), where an overarching framework illuminates the methodology for web access patterns post-processing. Data pre-processing, pattern discovery and patterns analysis all proceed in association with access patterns mining, CAP mining and CAP modelling. Pruning and selection of access pat-terns takes place as necessary, allowing further CAP mining and modelling to be pursued in the search for the most interesting concurrent access patterns. It is shown that higher level CAPs can be modelled in a way which brings greater structure to bear on the process of knowledge discovery. Experiments with real-world datasets highlight the applicability of the approach in web navigation
Web Access Patterns of Actual Human Visitors and Web Robots
No full textWeb robots are autonomous software agents used for crawling websites in a mechanized way for non-malicious and malicious reasons. With the popularity of Web 2.0 services, web robots are also proliferating and growing in sophistication. The web servers are flooded with access requests from web robots. The web access requests are recorded in the form of web server logs, which contains significant knowledge about web access patterns of visitors. The presence of web robot access requests in log repositories distorts the actual access patterns of human visitors. The human visitors' actual web access patterns are potentially useful for enhancement of services for more satisfaction or optimization of server resources. In this chapter, the correlative access patterns of human visitors and web robots are discussed using the web server access logs of a portal. </jats:p
Web access patterns reveal insiders behavior
No full text© 2015 IEEE. Insider threat is one of the most serious information security threats which is growing at an alarming rate leading to a compromise of confidentiality, integrity and availability of information assets in all critical infrastructure sector organizations. This study proposes a hybrid user profile model which is based on technical access patterns, behavioral patterns, psychological factors and organizational position for this complex and unique problem. In this study we have investigated common characteristics among enterprise users based on their web access pattern which is a part of the behavioral analysis of our model. The results of this analysis reveal majority of users have common web access patterns compared to the minority user base who shows individual user behavior
Mining History of Changes to
No full textQiankun Zhao Sourav S. Bhowmick Nanyang Technological University Singapore, 639798 {pg04327224,assourav}@ntu.edu.sg
A Relative Performance of Dissimilarity Measures for Matching Relational Web Access Patterns Between User Sessions
No full textCustomized web services are offered to users by grouping them according to their access patterns. Clustering techniques are very useful in grouping users and analyzing web access patterns. Clustering can be an object clustering performed on feature vectors or relational clustering performed on relational data. The relational clustering is preferred over object clustering for web users' sessions because of high dimensionality and sparsity of web users' data. However, relational clustering of web users depends on underlying dissimilarity measures used. Therefore, correct dissimilarity measure for matching relational web access patterns between user sessions is very important. In this chapter, the various dissimilarity measures used in relational clustering of web users' data are discussed. The concept of an augmented user session is also discussed to derive different augmented session dissimilarity measures. The discussed session dissimilarity measures are used with relational fuzzy clustering algorithms. The comparative performance binary session similarity and augmented session similarity measures are evaluated using intra-cluster and inter-cluster distance-based cluster quality ratio. The results suggested the augmented session dissimilarity measures in general, and intuitive augmented session (dis)similarity measure, in particular, performed better than the other measures. </jats:p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A Top-down Algorithm for Mining Web Access Patterns from Web Logs
No full textAbstract. This paper proposes a new algorithm, called TAM-WAP(the shorthand for Top-down Algorithm for Mining Web Access Patterns), to mine interesting WAP from Web logs. TAM-WAP searches the P-tree database in the top-down manner to mine WAP. By selectively building intermediate data according to the features of current area to be mined, it can avoid stubbornly building intermediate data for each step of mining process. The experiments for both real data and artificial data show that our algorithm outperforms conventional methods
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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