Building and Exploiting Ad Hoc Concept Hierarchies for Web Log Analysis

Pohle, Carsten; Spiliopoulou, Myra

doi:10.1007/3-540-46145-0_9

Cited by 12 publications

(5 citation statements)

References 10 publications

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“…There are several papers on using FCA for web log analysis (Zhou 7 (2004) and Pohle & Spiliopoulou (2002)). As explained above, web log analysis is not necessarily aimed at IT security, but since security-related information is often derived from logfiles, any methods developed in this area are potentially relevant for security analysis as well.…”

Section: Introductionmentioning

confidence: 99%

Unix Systems Monitoring with FCA

Priss

2011

Conceptual Structures for Discovering Knowledge

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Abstract. There are many existing software tools for identifying specific and severe IT security threats (virus checkers, firewalls). But it is more difficult to detect less severe and more general problems, such as disclosure of sensitive or private data. In theory, security problems could be detected with existing tools, but the amount of information provided is often too overwhelming. FCA is a promising technology in this application area because it helps to reduce and explore data without prescribing what it is that is searched for from the start. This paper demonstrates the use of FCA for analysing Unix system data with respect to IT security monitoring.

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Section: Introductionmentioning

confidence: 99%

Unix Systems Monitoring with FCA

Priss

2011

Conceptual Structures for Discovering Knowledge

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“…Unfortunately, this is a nightmare when mining clickstream of URLs. Syntactic features of URLs are of little help: we need some semantic information, or ontology [5,13], assigned to URLs.…”

Section: User Registration Datamentioning

confidence: 99%

Preprocessing and Mining Web Log Data for Web Personalization

Baglioni

Ferrara²,

Romei

et al. 2003

AI*IA 2003: Advances in Artificial Intelligence

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Abstract. We describe the web usage mining activities of an on-going project, called ClickWorld 3 , that aims at extracting models of the navigational behaviour of a web site users. The models are inferred from the access logs of a web server by means of data and web mining techniques. The extracted knowledge is deployed to the purpose of offering a personalized and proactive view of the web services to users. We first describe the preprocessing steps on access logs necessary to clean, select and prepare data for knowledge extraction. Then we show two sets of experiments: the first one tries to predict the sex of a user based on the visited web pages, and the second one tries to predict whether a user might be interested in visiting a section of the site.

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“…The applications vary in knowledge representation methods and application areas. For example, concept hierarchies are used to support Web mining (Pohle & Spiliopoulou, 2002). Ontologies are used in pre-processing to reduce dimensionality, in mining to improve clustering or mining generalized association rules, and in post-processing to facilitate interactive evaluation of discovered patterns (Maedche et al, 2003).…”

Section: Existing Methods For the Integration Of Domain Knowledgementioning

confidence: 99%

Integrating Knowledge-Driven and Data-Driven Approaches for the Derivation of Clinical Prediction Rules

Kwiatkowska

Atkins

Ayas³

et al.

Fourth International Conference on Machine Learning and Applications (ICMLA'05)

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The author has further granted permission to Simon Fraser University to keep or make a digital copy for use in its circulating collection (currently available to the public at the "Institutional Repository" link of the SFU Library website at: ) and, without changing the content, to translate the thesislproject or extended essays, if technically possible, to any medium or format for the purpose of preservation of the digital work.The author has further agreed that permission for multiple copying of this work for scholarly purposes may be granted by either the author or the Dean of Graduate Studies.It is understood that copying or publication of this work for financial gain shall not be allowed without the author's written permission.

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Building and Exploiting Ad Hoc Concept Hierarchies for Web Log Analysis

Cited by 12 publications

References 10 publications

Unix Systems Monitoring with FCA

Unix Systems Monitoring with FCA

Preprocessing and Mining Web Log Data for Web Personalization

Integrating Knowledge-Driven and Data-Driven Approaches for the Derivation of Clinical Prediction Rules

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