@article{ZenderMetzlerLucke2014,
  author    = {Zender, Raphael and Metzler, Richard and Lucke, Ulrike},
  title     = {FreshUP-A pervasive educational game for freshmen},
  series = {Pervasive and mobile computing},
  volume    = {14},
  journal   = {Pervasive and mobile computing},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1574-1192},
  doi       = {10.1016/j.pmcj.2013.09.003},
  pages     = {47 -- 56},
  year      = {2014},
  abstract  = {Students beginning their studies at university face manifold problems such as orientation in a new environment and organizing their courses. This article presents the implementation and successful empirical evaluation of the pervasive browser-based educational game "FreshUP", which aims at helping to overcome the initial difficulties of freshmen. In contrast to a conventional scavenger hunt, mobile pervasive games like FreshUP, bridging in-game and real world activities, have the potential to provide help in a motivating manner using new technology which is currently becoming more and more common. (C) 2013 Elsevier B.V. All rights reserved.},
  language  = {en}
}
@article{LuckeRensing2014,
  author    = {Lucke, Ulrike and Rensing, Christoph},
  title     = {A survey on pervasive education},
  series = {Pervasive and mobile computing},
  volume    = {14},
  journal   = {Pervasive and mobile computing},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1574-1192},
  doi       = {10.1016/j.pmcj.2013.12.001},
  pages     = {3 -- 16},
  year      = {2014},
  abstract  = {Researchers and developers worldwide have put their efforts into the design, development and use of information and communication technology to support teaching and learning. This research is driven by pedagogical as well as technological disciplines. The most challenging ideas are currently found in the application of mobile, ubiquitous, pervasive, contextualized and seamless technologies for education, which we shall refer to as pervasive education. This article provides a comprehensive overview of the existing work in this field and categorizes it with respect to educational settings. Using this approach, best practice solutions for certain educational settings and open questions for pervasive education are highlighted in order to inspire interested developers and educators. The work is assigned to different fields, identified by the main pervasive technologies used and the educational settings. Based on these assignments we identify areas within pervasive education that are currently disregarded or deemed challenging so that further research and development in these fields are stimulated in a trans-disciplinary approach. (C) 2013 Elsevier B.V. All rights reserved.},
  language  = {en}
}
@unpublished{LuckeSteinmetz2014,
  author    = {Lucke, Ulrike and Steinmetz, Ralf},
  title     = {Special issue on "Pervasive Education"},
  series = {Pervasive and mobile computing},
  volume    = {14},
  journal   = {Pervasive and mobile computing},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1574-1192},
  doi       = {10.1016/j.pmcj.2014.08.001},
  pages     = {1 -- 2},
  year      = {2014},
  language  = {en}
}
@article{BaierMendlingWeske2014,
  author    = {Baier, Thomas and Mendling, Jan and Weske, Mathias},
  title     = {Bridging abstraction layers in process mining},
  series = {Information systems},
  volume    = {46},
  journal   = {Information systems},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {0306-4379},
  doi       = {10.1016/j.is.2014.04.004},
  pages     = {123 -- 139},
  year      = {2014},
  abstract  = {While the maturity of process mining algorithms increases and more process mining tools enter the market, process mining projects still face the problem of different levels of abstraction when comparing events with modeled business activities. Current approaches for event log abstraction try to abstract from the events in an automated way that does not capture the required domain knowledge to fit business activities. This can lead to misinterpretation of discovered process models. We developed an approach that aims to abstract an event log to the same abstraction level that is needed by the business. We use domain knowledge extracted from existing process documentation to semi-automatically match events and activities. Our abstraction approach is able to deal with n:m relations between events and activities and also supports concurrency. We evaluated our approach in two case studies with a German IT outsourcing company. (C) 2014 Elsevier Ltd. All rights reserved.},
  language  = {en}
}
@phdthesis{Krueger2014,
  author    = {Kr{\"u}ger, Jens},
  title     = {Enterprise-specific in-memory data managment : HYRISEc - an in-memory column store engine for OLXP},
  publisher = {Hasso-Plattner-Insitut},
  address   = {Potsdam},
  pages     = {201 S.},
  year      = {2014},
  language  = {en}
}
@phdthesis{Rafiee2014,
  author    = {Rafiee, Hosnieh},
  title     = {Privacy and security issues in IPv6 networks},
  address   = {Potsdam},
  pages     = {141 S.},
  year      = {2014},
  language  = {en}
}
@article{Lis2014,
  author    = {Lis, Monika},
  title     = {Constructing a Phylogenetic Tree},
  series = {Process Design for Natural Scientists: an agile model-driven approach},
  journal   = {Process Design for Natural Scientists: an agile model-driven approach},
  number    = {500},
  editor    = {Lambrecht, Anna-Lena and Margaria, Tiziana},
  publisher = {Springer Verlag},
  address   = {Berlin},
  isbn      = {978-3-662-45005-5},
  issn      = {1865-0929},
  pages     = {101 -- 109},
  year      = {2014},
  abstract  = {In this project I constructed a workflow that takes a DNA sequence as input and provides a phylogenetic tree, consisting of the input sequence and other sequences which were found during a database search. In this phylogenetic tree the sequences are arranged depending on similarities. In bioinformatics, constructing phylogenetic trees is often used to explore the evolutionary relationships of genes or organisms and to understand the mechanisms of evolution itself.},
  language  = {en}
}
@article{Hibbe2014,
  author    = {Hibbe, Marcel},
  title     = {Spotlocator - Guess Where the Photo Was Taken!},
  series = {Process Design for Natural Scientists: an agile model-driven approach},
  journal   = {Process Design for Natural Scientists: an agile model-driven approach},
  number    = {500},
  editor    = {Lambrecht, Anna-Lena and Margaria, Tiziana},
  publisher = {Springer Verlag},
  address   = {Berlin},
  isbn      = {978-3-662-45005-5},
  issn      = {1865-0929},
  pages     = {149 -- 160},
  year      = {2014},
  abstract  = {Spotlocator is a game wherein people have to guess the spots of where photos were taken. The photos of a defined area for each game are from panoramio.com. They are published at http://spotlocator. drupalgardens.com with an ID. Everyone can guess the photo spots by sending a special tweet via Twitter that contains the hashtag \#spotlocator, the guessed coordinates and the ID of the photo. An evaluation is published for all tweets. The players are informed about the distance to the real photo spots and the positions are shown on a map.},
  language  = {en}
}
@article{Vierheller2014,
  author    = {Vierheller, Janine},
  title     = {Exploratory Data Analysis},
  series = {Process Design for Natural Scientists: an agile model-driven approach},
  journal   = {Process Design for Natural Scientists: an agile model-driven approach},
  number    = {500},
  editor    = {Lambrecht, Anna-Lena and Margaria, Tiziana},
  publisher = {Axel Springer Verlag},
  address   = {Berlin},
  isbn      = {978-3-662-45005-5},
  issn      = {1865-0929},
  pages     = {110 -- 126},
  year      = {2014},
  abstract  = {In bioinformatics the term exploratory data analysis refers to different methods to get an overview of large biological data sets. Hence, it helps to create a framework for further analysis and hypothesis testing. The workflow facilitates this first important step of the data analysis created by high-throughput technologies. The results are different plots showing the structure of the measurements. The goal of the workflow is the automatization of the exploratory data analysis, but also the flexibility should be guaranteed. The basic tool is the free software R.},
  language  = {en}
}
@article{Reso2014,
  author    = {Reso, Judith},
  title     = {Protein Classification Workflow},
  series = {Process Design for Natural Scientists: an agile model-driven approach},
  journal   = {Process Design for Natural Scientists: an agile model-driven approach},
  number    = {500},
  editor    = {Lambrecht, Anna-Lena and Margaria, Tiziana},
  publisher = {Springer Verlag},
  address   = {Berlin},
  isbn      = {978-3-662-45005-5},
  issn      = {1865-0929},
  pages     = {65 -- 72},
  year      = {2014},
  abstract  = {The protein classification workflow described in this report enables users to get information about a novel protein sequence automatically. The information is derived by different bioinformatic analysis tools which calculate or predict features of a protein sequence. Also, databases are used to compare the novel sequence with known proteins.},
  language  = {en}
}