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Classifying Structured Web Sources Using Support Vector Machine and...

AbstractThis paper studies the problem of classifying structured data sources on the Web. While prior works use all features, once extracted from search interfaces, we further refine the feature set....

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Supporting Complex Business Information Systems

AbstractMaintainability is fundamental to keeping business information systems alive and making evolution possible. Steadily increasing functionalities lead to giant networked application landscapes...

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Activity Control in Application Landscapes A Further Approach to Improving...

AbstractThe system administration has been waiting for a long time for procedures and mechanism for more control over process activities within complex application landscapes. New challenges come up...

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Fuzzy Clustering of Incomplete Data Based on Cluster Dispersion

AbstractClustering algorithms are used to identify groups of similar data objects within large data sets. Since traditional clustering methods were developed to analyse complete data sets, they cannot...

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Style Analysis of Academic Writing

AbstractThis paper presents an approach which performs a Style Analysis of Academic Writing in terms of formal voice, readability and scientific language. Our intention is an analysis of academic...

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Comparing Different Methods for Opinion Mining in Newspaper Articles

AbstractAdapting opinion mining for news articles is a challenging field and at the same time it is very interesting for many analyses, applications and systems in the field of media monitoring. In...

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Opinion Mining on a German Corpus of a Media Response Analysis

AbstractThis contribution introduces a new corpus of a German Media Response Analysis called the pressrelations dataset which can be used in several tasks of Opinion Mining: Sentiment Analysis, Opinion...

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On Cluster Validity for Fuzzy Clustering of Incomplete Data

AbstractIn this study, we address the problem of finding the optimal number of clusters on incomplete data using cluster validity functions. Experiments were performed on different data sets in order...

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An approach for automatic sleep stage scoring and apnea-hypopnea detection

AbstractIn this article we present an application of data mining to the medical domain sleep research, an approach for automatic sleep stage scoring and apnea-hypopnea detection. By several combined...

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Extraction of Statements in News for a Media Response Analysis

AbstractThe extraction of statements is an essential step in a Media Response Analysis (MRA), because statements in news represent the most important information for a customer of a MRA and can be used...

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Linguistic Sentiment Features for Newspaper Opinion Mining

AbstractThe sentiment in news articles is not created only through single words, also linguistic factors, which are invoked by different contexts, influence the opinion-bearing words. In this paper, we...

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Classifier Comparison for Repeating Motion Based Video Classification

AbstractIn this paper we introduce a repeating motion based video classification system. Videos from certain topical areas like sports, home improvement, or mechanical motion often show specific...

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Combination of Lexical and Structure-Based Similarity Measures to Match...

AbstractThe great development of semantic web in the distributed environment leads to the different forms of ontologies. Therefore, ontology matching is an important task in order to share knowledge...

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Evaluating Web Image Context Extraction

AbstractImages on the Web appear with other textual contents—referred to as Web Image Context—providing valuable information to the image semantics. Unfortunately, HTML documents are usually cluttered...

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An Improved String Similarity Measure Based on Combining...

AbstractThe lexical similarity measure is used for calculating the similarities between strings. Existing lexical-based methods usually base on either n-grams or Dice’s approaches. These measures have...

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AdaMS: Adaptive Mountain Silhouette Extraction from Images

AbstractModern image sharing platforms such as instagram or flickr support an easy publication of photos to the internet, thus leading to great numbers of available photos. However, many of the images...

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Fuzzy c -Means Clustering of Incomplete Data Using Dimension-Wise Fuzzy...

AbstractClustering is an important technique for identifying groups of similar data objects within a data set. Since problems during the data collection and data preprocessing steps often lead to...

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A Possibilistic Multivariate Fuzzy c-Means Clustering Algorithm

AbstractIn this paper, we present a new possibilistic multivariate fuzzy c-means (PMFCM) clustering algorithm. PMFCM is a combination of multivariate fuzzy c-means (MFCM) and possibilistic fuzzy...

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Text Mining für Online-Partizipationsverfahren: Die Notwendigkeit einer...

ZusammenfassungOnline-Partizipationsverfahren werden in den letzten Jahren vermehrt von Städten und Gemeinden eingesetzt, um ihre Bürger in politische Entscheidungsprozesse einzubeziehen. Der...

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The First Data Science Challenge at BTW 2017

AbstractThe 17th Conference on Database Systems for Business, Technology, and Web (BTW2017) of the German Informatics Society (GI) took place in March 2017 at the University of Stuttgart in Germany. A...

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