Clustering Scientific Literature Using Sparse Citation Graph Analysis

Clustering scientific literature using sparse citation graph analysis Bolelli, Levent; Ertekin Bolelli, Şeyda; Giles, C. Lee (2006-01-01) It is well known that connectivity analysis of linked documents provides significant information about the structure of the document space for unsupervised learning tasks. However, the ability to identify distinct clusters of documents based on link graph analysis is proportional to the density of the graph and depends on the availability of the linking and/or linked documents in the collection. In this paper, we present an information theoretic approach towards measuring the significance of individual word...
Clustering frequent navigation patterns from website logs by using ontology and temporal information Kilic, Sefa; Karagöz, Pınar; Toroslu, İsmail Hakkı (2013-11-22) In this work, clustering algorithms are used in order to group similar frequent sequences of Web page visits. A new sequence is compared with all clusters and it is assigned to the most similar one. This work can be used for predicting and prefetching the next page user will visit or for helping the navigation of user in the website. They can also be used to improve the structure of website for easier navigation. In this study the effect of time spent on each web page during the session is also analyzed. © ...
Clustering frequent navigation patterns from website logs using ontology and temporal information Kılıç, Sefa; Karagöz, Pınar; Toroslu, İsmail Hakkı; Department of Computer Engineering (2011) Given set of web pages labeled with ontological items, the level of similarity between two web pages is measured using the level of similarity between ontological items of pages labeled with. Using similarity measure between two pages, degree of similarity between two sequences of web page visits can be calculated as well. Using clustering algorithms, similar frequent sequences are grouped and representative sequences are selected from these groups. A new sequence is compared with all clusters and it is ass...
Clustering Countries with COVID19 Dataset Gökalp Yavuz, Fulya; Özdemir, Şenay; Tuaç, Yetkin; Arslan, Olçay (null; 2020-12-29)
Clustering based personality prediction on turkish tweets Tutaysalgir, Esen; Karagöz, Pınar; Toroslu, İsmail Hakkı (2019-08-30) In this paper, we present a framework for predicting the personality traits by analyzing tweets written in Turkish. The prediction model is constructed with a clustering based approach. Since the model is based on linguistic features, it is language specific. The prediction model uses features applicable to Turkish language and related to writing style of Turkish Twitter users. Our approach uses anonymous BIGS questionnaire scores of volunteer participants as the ground truth in order to generate personalit...

Citation Formats

L. Bolelli, Ş. Ertekin Bolelli, and C. L. Giles, “Clustering Scientific Literature Using Sparse Citation Graph Analysis,” 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69432.