Mining fuzzy spatial association rules

Kaçar, Esen


Mining frequent semantic event patterns
Söztutar, Enis; Toroslu, İsmail Hakkı; Department of Computer Engineering (2009)
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 sam...
Mining Individual Features to Enhance Link Prediction Efficiency in Location Based Social Networks
Bayrak, Ahmet Engin; Polat, Faruk (2018-08-31)
One of the most attractive problems of social network analysis is the link prediction. Social networks' user growth is mostly supported with data driven friend recommendations which are provided by link predictors. Previously, we had studied new features to improve prediction accuracy in Location Based Social Networks (LBSNs) where users share temporal location information with check-in interactions. In this paper, we focused on the efficiency of link predictors as the speed of prediction is as critical as ...
Mining eyetracking data to characterise users and theirpatterns of use
Öder, Melih; Betin Can, Aysu; Department of Information Systems (2019)
Eye tracking studies typically collect an enormous amount of data that encodes a lot of information about the users’ behavior and characteristics on the web. However, there are not many studies that mine such data to learn and discover user characteristics and profiles. The main goal of this study is to mine eye tracking data by machine learning methods to create data models which characterise users and predict their characteristics, in particular, familiarity and gender. Detecting users’ characteristics can...
Mining cyclically repeated patterns
Toroslu, İsmail Hakkı (2001-01-01)
© Springer-Verlag Berlin Heidelberg 2001.In sequential pattern mining, the support of the sequential pattern for the transaction database is defined only by the fraction of the customers supporting this sequence, which is known as the customer support. In this paper, a new parameter is introduced for each customer, called as repetition support, as an additional constraint to specify the minimum number of repetitions of the patterns by each customer. We call the patterns discovered using this technique as cy...
Mining association rules for quality related data in an electronics company
Kılınç, Yasemin; Özdemirel, Yasemin; Department of Industrial Engineering (2009)
Quality has become a central concern as it has been observed that reducing defects will lower the cost of production. Hence, companies generate and store vast amounts of quality related data. Analysis of this data is critical in order to understand the quality problems and their causes, and to take preventive actions. In this thesis, we propose a methodology for this analysis based on one of the data mining techniques, association rules. The methodology is applied for quality related data of an electronics ...
Citation Formats
E. Kaçar, “Mining fuzzy spatial association rules,” Middle East Technical University, 2001.