Mining frequent semantic event patterns

Download
index.pdf
2009
Söztutar, Enis
Show full item record
41
views
72
downloads
Especially with the wide use of dynamic page generation, and richer user interaction in Web, traditional web usage mining methods, which are based on the pageview concept are of limited usability. For overcoming the difficulty of capturing usage behaviour, we define the concept of semantic events. Conceptually, events are higher level actions of a user in a web site, that are technically independent of pageviews. Events are modelled as objects in the domain of the web site, with associated properties. A sample event from a video web site is the 'play video event' with properties 'video', 'length of video', 'name of video', etc. When the event objects belong to the domain model of the web site's ontology, they are referred as semantic events. In this work, we propose a new algorithm and associated framework for mining patterns of semantic events from the usage logs. We present a method for tracking and logging domain-level events of a web site, adding semantic information to events, an ordering of events in respect to the genericity of the event, and an algorithm for computing sequences of frequent events.
Computer enginnering., Computer software.
http://etd.lib.metu.edu.tr/upload/12611007/index.pdf
https://hdl.handle.net/11511/19034
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

Using social graphs in one-class collaborative filtering problem
Kaya, Hamza; Alpaslan, Ferda Nur; Department of Computer Engineering (2009)
One-class collaborative filtering is a special type of collaborative filtering methods that aims to deal with datasets that lack counter-examples. In this work, we introduced social networks as a new data source to the one-class collaborative filtering (OCCF) methods and sought ways to benefit from them when dealing with OCCF problems. We divided our research into two parts. In the first part, we proposed different weighting schemes based on social graphs for some well known OCCF algorithms. One of the weig...
Deploying and invoking secure web services over JXTA framework
Görgün, İlhami; Doğaç, Asuman; Department of Computer Engineering (2004)
Web services introduce a new paradigm for distributed computing, and the technology that it introduces constructs a new type of Web application. Web services can be described as any software that makes its discovery and invocation available over the Internet, and uses a standardized XML messaging system. The term peer-to-peer refers to a class of decentralized systems enabling the access of shared resources available on peers that are acting both as client and as server. In this work, a peer-to-peer approac...
Multi-resolution visualization of large scale protein networks enriched with gene ontology annotations
Yaşar, Sevgi; Can, Tolga; Department of Computer Engineering (2009)
Genome scale protein-protein interactions (PPIs) are interpreted as networks or graphs with thousands of nodes from the perspective of computer science. PPI networks represent various types of possible interactions among proteins or genes of a genome. PPI data is vital in protein function prediction since functions of the cells are performed by groups of proteins interacting with each other and main complexes of the cell are made of proteins interacting with each other. Recent increase in protein interactio...
Web usage mining and recommendation with semantic information
Salın, Süleyman; Karagöz, Pınar; Department of Computer Engineering (2009)
Web usage mining has become popular in various business areas related with Web site development. In Web usage mining, the commonly visited navigational paths are extracted in terms of Web page addresses from the Web server visit logs, and the patterns are used in various applications. The semantic information of the Web page contents is generally not included in Web usage mining. In this thesis, a framework for integrating semantic information with Web usage mining is implemented. The frequent navigational ...
Natural language interface on a video data model
Erözel, Güzen; Çiçekli, Fehime Nihan; Department of Computer Engineering (2005)
The video databases and retrieval of data from these databases have become popular in various business areas of work with the improvements in technology. As a kind of video database, video archive systems need user-friendly interfaces to retrieve video frames. In this thesis, an NLP based user interface to a video database system is developed using a content-based spatio-temporal video data model. The data model is focused on the semantic content which includes objects, activities, and spatial properties of...
Citation Formats
E. Söztutar, “Mining frequent semantic event patterns,” M.S. - Master of Science, Middle East Technical University, 2009.
METU IIS - Integrated Information Service open@metu.edu.tr