On-line journalistic sites publish several news and stories every day. Readers of these sites may comment a story, and, as a consequence, a single story might receive thousands of comments. The quality of these comments may vary a lot, from spams and trolls to truly useful information. Separating good from bad comments is an important task, and is the primary goal of comment moderation. Moderat...

Cameroon has a strong geological potential for a number of mineral resources that, if well managed, could support economic growth. The country contains potentially large deposits of iron ore, gold, bauxite, diamond, limestone, nickel, and gemstones, and indices of other numerous minerals and precious metals. Despite its geological wealth, mining has never played a major role in Cameroon’s econo...

due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. association rules mining is one of the data mining techniques to extract useful patterns in the form of association rules. one of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. hiding the as...

Dieser Artikel zeigt, da Assoziationsregeln fast immer in einem einzigen Scan der Datenbank gefunden werden konnen. Dies wird durch einen randomisierten Ansatz erreicht. Original-Abstract: Discovery of association rules is an important database mining problem. Current algorithms for nding association rules require several passes over the analyzed database, and obviously the role of I/O overhea...

YouPorn is one of the largest providers of adult content on the web. Being free of charge, the video portal allows users besides watching to upload, categorize and comment on pornographic videos. With this position paper, we point out the challenges of analyzing the textual data offered with the videos. We report on first experiments and problems with our YouPorn dataset, which we extracted fro...

Interestingness in Association Rules has been a major topic of research in the past decade. The reason is that the strength of association rules, i.e. its ability to discover ALL patterns given some thresholds on support and confidence, is also its weakness. Indeed, a typical association rules analysis on real data often results in hundreds or thousands of patterns creating a data mining proble...

In 2009, a unique Portuguese electoral cycle comprised european, local, and national elections. During the three month non-stop campaign period, more than a hundred experienced bloggers, supporters of the three main political parties, created three non party-sponsored blogs. These blogs were the focal point of the political blogosphere during that period and ceased their activities at the end o...

With the new interest in historical documents insight grew that electronic access to these texts causes many specific problems. In the first part of the paper we survey the present role of digital historical documents. After collecting central facts and observations on historical language change we comment on the difficulties that result for retrieval and data mining on historical texts. In the...

Common social tagging systems like Flickr, del.icio.us and others lately became very popular. The key benefits of these systems include that users get involved in the content creation process, can easily — without overhead – comment or annotate Web content, share resources with fellow users, and benefit from the comments / annotations of other users with improved retrieval support. With GroupMe...

Abstract Online debates and debate spheres challenge our assumptions about democracy, politics, journalism, trust, truth in ways that make them a necessary object of study. In the present article, we argue study online arguments can benefit from an interdisciplinary approach combines computational methods for text analysis with conceptual models opinion dynamics. The article thereby seeks to me...