Previous mining algorithms on high dimensional datasets, such as biological dataset, create very large patterns sets as a result which includes small and discontinuous sequential patterns. These patterns do not bear any useful information for usage. Mining sequential patterns in such sequences need to consider different forms of patterns, such as contiguous patterns, local patterns which appear...

In this paper we give a brief overview of the Webis group’s participation in the TREC 2011 Sessions track with an extended version of our last year’s approach [HSV10]. The basic idea can be described as a conservative query expansion based on terms used in previous queries or terms contained in clicked snippets. Furthermore, a query’s result set is reduced by removing documents shown for previo...

In this paper we present the retrieval and adaptation mechanisms used in our information system on travel medicine, docQuery. The retrieval method’s main feature is an overall improved accuracy of retrieval results’ similarities through a more diverse distribution of similarities over the retrieved result sets. Its underlying idea is the execution of several consecutive retrievals on one case b...

We study the classifier quantification problem in the context of the topical opinion retrieval, that consists in estimating proportions of the sentiment categories in the result set of a topic. We propose a methodology to circumvent individual classification allowing a real-time sentiment analysis for huge volumes of data. After discussing existing approaches to quantification, the novel propos...