IUI

In our goal to personalize the discovery of scientific information, we built systems using visual analytics principles for exploration of textual documents [1]. The concept was extended to explore information quality of user generated content [2]. Our ...

Exploratory search has an unclear and open-ended definition. The complexity of the task and the difficulty of defining this activity are reflected in the limits of existing evaluation methods for exploratory search systems. In order to improve them, we ...

The Scatter Plot Matrix (SPLOM) is a well-known technique for visual analysis of high-dimensional data. However, one problem of large SPLOMs is that typically not all views are potentially relevant to a given analysis task or user. The matrix itself may ...

In this paper we argue that focused knowledge acquisition -- knowledge acquisition in user-defined query context -- can be best achieved through presentation of relationships between search results for a given user query. We suggest that in order to ...

Analytics platforms such as IBM's Watson Analytics TM are collecting metadata about their use, including user queries on uploaded datasets. The analysis of this metadata may be valuable in improving services, such as query recommendation and automatic ...

Content based recommender systems are commonly applied to provide automatic support to users searching for relevant information. However, as the retrieved number of resources may grow large, and because the user does not have direct control over the ...

Knowledge work such as summarizing related research in preparation for writing, typically requires the extraction of useful information from scientific literature. Nowadays the primary source of information for researchers comes from electronic ...

In this talk, I will review our research attempts to implement different kinds of personalization in the context of relevance-based visualization. The goal of this research stream is to make relevance-based visualization adaptive to user long-term goals,...

This paper presents a graphical interface to identify hostile behavior in network logs. The problem of identifying and labeling hostile behavior is well known in the network security community. There is a lack of labeled datasets, which make it ...

Search and recommendation systems help users find their favorites among an abundant amount of songs available on distributors such as iTunes. Nevertheless, it is still hard for us to efficiently retrieve the right music. This paper proposes an ...

Network analysis has been applied widely in different domains, providing a unified language to describe disparate domains. In this paper we present an interactive visualisation of graph--based ranking measures of text character n--grams. The ...

With the fast growing amount of scientific literature, browsing through it can be a dicult task: formulating a precise query may be problematic as new research areas emerge quickly and different terms are often used to describe the same concept. To ...

Labeled datasets are always limited, and oftentimes the quantity of labeled data is a bottleneck for data analytics. This especially affects supervised machine learning methods, which require labels for models to learn from the labeled data. Active ...